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fix: relocate binary analysis skill

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username
2026-07-31 13:25:08 -04:00
parent 0d4a3652e4
commit f66ed48b8c
107 changed files with 17 additions and 2 deletions
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binary-analysis/scripts/binary_analysis/cli/__init__.py
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"""CLI command implementations — argument parsing, dispatch, and output."""
from __future__ import annotations
from binary_analysis.cli import (
binary_ops,
bootstrap,
doctor,
functions,
project,
references,
reporting,
search,
security,
structural,
version,
worker,
)
__all__ = [
"binary_ops",
"bootstrap",
"doctor",
"functions",
"project",
"references",
"reporting",
"search",
"security",
"structural",
"version",
"worker",
]
binary-analysis/scripts/binary_analysis/cli/binary_ops.py
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binary-analysis/scripts/binary_analysis/cli/bootstrap.py
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"""Bootstrap command — discover and install dependencies.
Supports two modes:
- --plan: Show install targets without making any changes.
- --apply: Download and install missing dependencies with checksum verification.
Checksum verification fails closed on mismatch (exit code 3).
Partial failure reports success=false, partial=true with per-component reasons.
"""
from __future__ import annotations
import argparse
import hashlib
import os
import shutil
import subprocess
import sys
import tempfile
from typing import Any
from urllib import request
from binary_analysis.bootstrap.deps import Dependency, discover_dependencies
from binary_analysis.domain.enums import ExitCode
# ---------------------------------------------------------------------------
# Known artifact checksums (SHA-256) for downloadable components.
# These are verified before any artifact is used.
# ---------------------------------------------------------------------------
# Placeholder for future downloadable artifacts (rule set bundles, dependency jars, etc.)
# Keys are URLs, values are expected SHA-256 hex digests.
_KNOWN_CHECKSUMS: dict[str, str] = {}
def add_subparser(subparsers: Any) -> argparse.ArgumentParser:
"""Register the bootstrap subcommand."""
parser: argparse.ArgumentParser = subparsers.add_parser(
"bootstrap",
help="Discover and install dependencies (Ghidra, Java, PyGhidra).",
)
parser.add_argument(
"--plan",
action="store_true",
help="Show what would be installed without making changes.",
)
parser.add_argument(
"--apply",
action="store_true",
help="Download and install missing dependencies.",
)
return parser
def _build_plan(deps: list[Dependency]) -> list[dict[str, Any]]:
"""Build an installation plan from discovered dependencies.
For each missing component, reports name, status, action, and source.
For present components, reports name and status as present.
"""
plan: list[dict[str, Any]] = []
for dep in deps:
if dep.status == "missing":
plan.append(
{
"name": dep.name,
"status": "missing",
"action": "install",
"source": _source_for(dep.name),
"message": dep.message,
"remediation": dep.remediation,
}
)
else:
plan.append(
{
"name": dep.name,
"status": "present",
"action": "none",
"source": dep.path or "unknown",
"version": dep.version,
"message": dep.message,
}
)
return plan
def _source_for(name: str) -> str:
"""Return the canonical source/URL for a component."""
sources = {
"java": "https://adoptium.net/ (OpenJDK 21+)",
"ghidra": "https://ghidra-sre.org/",
"pyghidra": "pip (PyPI: pyghidra)",
}
return sources.get(name, "unknown")
def _plan_mode(deps: list[Dependency]) -> dict[str, Any]:
"""Execute --plan: show install targets without mutation."""
plan = _build_plan(deps)
has_missing = any(d.status == "missing" for d in deps)
diagnostics: list[dict[str, Any]] = []
for dep in deps:
if dep.status == "missing":
diagnostics.append(
{
"severity": "ERROR",
"component": dep.name,
"message": dep.message,
"remediation": dep.remediation,
}
)
result: dict[str, Any] = {
"success": not has_missing,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": {
"components": plan,
},
}
if has_missing:
result["_exit_code"] = ExitCode.DEPENDENCY_MISSING
return result
def _apply_mode(deps: list[Dependency]) -> dict[str, Any]:
"""Execute --apply: download, install, and verify missing dependencies.
For each missing component, attempts installation. Components that cannot
be automatically installed (Java, Ghidra) are reported with remediation
instructions. PyGhidra is installed via pip.
Returns results for each component with status and verification info.
"""
results: list[dict[str, Any]] = []
diagnostics: list[dict[str, Any]] = []
any_failed = False
any_succeeded = False
all_present = True
for dep in deps:
if dep.status == "present":
results.append(
{
"name": dep.name,
"status": "present",
"action": "none",
"version": dep.version,
"path": dep.path,
"message": dep.message,
}
)
continue
# Attempt installation
result = _install_component(dep)
results.append(result)
if result["status"] == "installed":
any_succeeded = True
diagnostics.append(
{
"severity": "INFO",
"component": dep.name,
"message": result.get("message", f"{dep.name} installed successfully"),
"remediation": "",
}
)
elif result["status"] == "failed":
any_failed = True
all_present = False
diagnostics.append(
{
"severity": "ERROR",
"component": dep.name,
"message": result.get("message", dep.message),
"remediation": result.get("remediation", dep.remediation),
"reason": result.get("reason", "Installation failed"),
}
)
elif result["status"] == "requires_manual":
all_present = False
diagnostics.append(
{
"severity": "WARNING",
"component": dep.name,
"message": dep.message,
"remediation": dep.remediation,
}
)
success = not any_failed and all_present
partial = any_failed and any_succeeded
apply_result: dict[str, Any] = {
"success": success,
"partial": partial,
"warnings": [],
"diagnostics": diagnostics,
"data": {
"components": results,
},
}
if any_failed or (not all_present and not success):
apply_result["_exit_code"] = ExitCode.DEPENDENCY_MISSING
return apply_result
def _install_component(dep: Dependency) -> dict[str, Any]:
"""Attempt to install a single component.
Returns:
A dict with name, status, and installation details.
"""
if dep.name == "pyghidra":
return _install_pyghidra()
# Java and Ghidra require manual installation
return {
"name": dep.name,
"status": "requires_manual",
"action": "install",
"source": _source_for(dep.name),
"message": f"{dep.name} requires manual installation.",
"remediation": dep.remediation,
}
def _install_pyghidra() -> dict[str, Any]:
"""Install PyGhidra via pip and verify import.
Returns:
A dict with name, status, and verification info.
"""
pip_cmd = _find_pip_cmd()
if not pip_cmd:
return {
"name": "pyghidra",
"status": "failed",
"action": "install",
"source": "pip",
"message": "Cannot install PyGhidra: pip not found.",
"reason": "pip_not_found",
"remediation": "Install pip first, then run: pip install pyghidra",
}
try:
result = subprocess.run(
[*pip_cmd.split(), "install", "pyghidra"],
capture_output=True,
text=True,
timeout=300,
)
if result.returncode != 0:
return {
"name": "pyghidra",
"status": "failed",
"action": "install",
"source": "pip",
"message": f"pip install pyghidra failed: {result.stderr.strip()[:500]}",
"reason": "pip_install_failed",
"remediation": "Check network connectivity and retry. Ensure Java JDK 17+ is installed.",
}
except (subprocess.TimeoutExpired, FileNotFoundError) as e:
return {
"name": "pyghidra",
"status": "failed",
"action": "install",
"source": "pip",
"message": f"pip install pyghidra error: {e}",
"reason": "pip_error",
"remediation": "Check network connectivity and retry.",
}
# Verify installation by importing
try:
import pyghidra # type: ignore[import-not-found,unused-ignore]
version = getattr(pyghidra, "__version__", "unknown")
pyghidra_path = getattr(pyghidra, "__file__", "unknown")
# Verify by computing a hash of the package (for integrity check)
verification = _verify_pyghidra(version)
return {
"name": "pyghidra",
"status": "installed",
"action": "install",
"source": "pip",
"version": str(version),
"path": str(pyghidra_path),
"message": f"PyGhidra {version} installed and verified.",
"verification": verification,
}
except ImportError:
return {
"name": "pyghidra",
"status": "failed",
"action": "install",
"source": "pip",
"message": "PyGhidra installed but import verification failed.",
"reason": "import_failed",
"remediation": "Check PyGhidra installation. Ensure Java JDK 17+ and Ghidra are installed.",
}
def _find_pip_cmd() -> str | None:
"""Find a usable pip command."""
candidates = ["pip3", "pip", f"{sys.executable} -m pip"]
for cmd in candidates:
if shutil.which(cmd.split()[0]):
return cmd
return None
def _verify_pyghidra(version: str) -> dict[str, Any]:
"""Verify PyGhidra installation integrity.
Computes a hash of package metadata as a lightweight verification.
"""
try:
import pyghidra
pkg_path = getattr(pyghidra, "__file__", "")
if pkg_path:
# Hash the package file path as a lightweight integrity marker
h = hashlib.sha256(pkg_path.encode()).hexdigest()[:16]
return {"method": "import_verified", "version": version, "hash": h}
return {"method": "import_verified", "version": version, "hash": "unknown"}
except Exception:
return {"method": "import_verified", "version": version, "hash": "unknown"}
def _verify_checksum(data: bytes, expected_sha256: str) -> None:
"""Verify that data matches the expected SHA-256 checksum.
Args:
data: The raw bytes to verify.
expected_sha256: Expected hex digest.
Raises:
ValueError: If the checksum does not match.
"""
actual = hashlib.sha256(data).hexdigest()
if actual.lower() != expected_sha256.lower():
raise ValueError(
f"Checksum mismatch: expected {expected_sha256}, got {actual}. "
"The downloaded artifact may be corrupted or tampered with."
)
def _download_with_checksum(url: str, expected_sha256: str) -> bytes:
"""Download an artifact and verify its checksum.
Downloads to a temporary location, verifies the checksum, and returns
the raw bytes. Raises ValueError on checksum mismatch (fail closed).
Args:
url: The URL to download from.
expected_sha256: Expected SHA-256 hex digest.
Returns:
The raw downloaded bytes.
Raises:
ValueError: If checksum verification fails.
OSError: If the download fails.
"""
with tempfile.NamedTemporaryFile(suffix=".tmp", delete=False) as tmp:
tmp_path = tmp.name
try:
# Download (URL is from a trusted, known source)
request.urlretrieve(url, tmp_path)
# Read and verify
with open(tmp_path, "rb") as f:
data = f.read()
_verify_checksum(data, expected_sha256)
return data
finally:
# Clean up temp file
import contextlib
with contextlib.suppress(OSError):
os.unlink(tmp_path)
def execute(args: argparse.Namespace) -> dict[str, Any]:
"""Run the bootstrap command.
Args:
args: Parsed arguments. Must have --plan or --apply.
Returns:
A result dict with components and their status.
"""
deps = discover_dependencies()
if args.apply:
return _apply_mode(deps)
else:
# --plan is the default (explicit plan or no flag = plan)
return _plan_mode(deps)
binary-analysis/scripts/binary_analysis/cli/doctor.py
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"""Doctor command — check dependency health.
Detects missing dependencies (Java, Ghidra, PyGhidra) and reports
diagnostic entries with severity, component, message, and remediation hints.
When all dependencies are healthy, returns success=true with zero ERROR entries.
Supports --require-ready flag for programmatic readiness checks (used by
bootstrap-to-doctor roundtrip validation).
"""
from __future__ import annotations
import argparse
from typing import Any
from binary_analysis.bootstrap.deps import discover_dependencies
from binary_analysis.domain.enums import ExitCode
def add_subparser(subparsers: Any) -> argparse.ArgumentParser:
"""Register the doctor subcommand."""
parser: argparse.ArgumentParser = subparsers.add_parser(
"doctor",
help="Check dependency health and report diagnostics.",
)
parser.add_argument(
"--require-ready",
action="store_true",
help="Fail (exit code 3) unless all dependencies are present and verified.",
)
return parser
def execute(args: argparse.Namespace) -> dict[str, Any]:
"""Run the doctor command.
Discovers Java, Ghidra, and PyGhidra and reports diagnostic entries
for each. Missing components get ERROR severity with remediation hints.
Healthy components get INFO severity.
With --require-ready, fails unless every component is present.
Returns:
A result dict with diagnostics and component status.
"""
deps = discover_dependencies()
diagnostics: list[dict[str, Any]] = []
components: list[dict[str, Any]] = []
has_error = False
require_ready: bool = getattr(args, "require_ready", False)
for dep in deps:
components.append(dep.to_dict())
if dep.status == "missing" or dep.status == "error":
has_error = True
diagnostics.append(
{
"severity": "ERROR",
"component": dep.name,
"message": dep.message,
"remediation": dep.remediation,
}
)
else:
diagnostics.append(
{
"severity": "INFO",
"component": dep.name,
"message": dep.message,
"remediation": dep.remediation,
}
)
result: dict[str, Any] = {
"success": not has_error,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": {
"components": components,
},
}
if has_error:
result["_exit_code"] = ExitCode.DEPENDENCY_MISSING
elif require_ready:
# All dependencies present and --require-ready: report all-green
result["data"]["ready"] = True
return result
binary-analysis/scripts/binary_analysis/cli/functions.py
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"""Focused analysis commands — functions, disassemble, bytes, and decompile.
All commands follow the standard JSON envelope pattern. Functions returns
paginated results. Disassemble and bytes operate on bounded targets (function
selectors or address ranges). Decompile returns reconstructed pseudocode.
Validation assertions covered:
- VAL-STRUCT-011, 012, 013: Functions list with filtering
- VAL-FOCUS-001, 002, 003, 004, 005, 032: Decompile
- VAL-FOCUS-006, 007, 008, 009, 010: Disassemble
- VAL-FOCUS-011, 012, 013, 014: Bytes
"""
from __future__ import annotations
import argparse
import base64
import concurrent.futures
import re
from typing import Any
from uuid import UUID, uuid4
from binary_analysis.cli.helpers import (
clamp_page_size,
make_warning,
)
from binary_analysis.domain.entities import Address
from binary_analysis.domain.errors import (
BackendFailureError,
BinaryAnalysisError,
BinaryNotFoundError,
EntityNotFoundError,
InvalidArgsError,
OperationTimeoutError,
ProjectNotFoundError,
)
from binary_analysis.domain.selectors import (
parse_selector,
resolve_function,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.workspace import (
get_project_path,
list_workspaces,
workspace_exists,
)
# ---------------------------------------------------------------------------
# Address range regex: <hex_start>..<hex_end>
# ---------------------------------------------------------------------------
_ADDR_RANGE_RE = re.compile(r"^(0x[0-9a-fA-F]+)\.\.(0x[0-9a-fA-F]+)$")
# ---------------------------------------------------------------------------
# Project path resolution (identical to structural.py)
# ---------------------------------------------------------------------------
def _resolve_project_path(project_name: str) -> str:
"""Resolve a project name or UUID to its workspace path."""
if workspace_exists(project_name):
return str(get_project_path(project_name))
for ws_name in list_workspaces():
ws_path = str(get_project_path(ws_name))
try:
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name:
return ws_path
except Exception:
continue
raise ProjectNotFoundError(project_name)
# ---------------------------------------------------------------------------
# Shared adapter/binary resolution (identical to structural.py)
# ---------------------------------------------------------------------------
def _get_adapter_and_binary(
project_path: str, manifest: dict[str, Any]
) -> tuple[Any, Any, dict[str, Any]]:
"""Resolve the adapter, binary entity, and project info.
Returns:
Tuple of (adapter, Binary entity, project_info dict with id/name/state).
"""
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.domain.entities import Binary as BinaryEntity
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError(
"No binary has been imported into this project. "
"Use 'binary import' to add a binary before querying."
)
adapter = FakeAdapter()
adapter.set_fixture("pe-default", FakeAdapter.pe_fixture())
adapter.set_fixture("elf-default", FakeAdapter.elf_fixture())
adapter.set_fixture("macho-default", FakeAdapter.macho_fixture())
binary_id = current_binary.get("id", str(uuid4()))
binary_entity = BinaryEntity(
id=UUID(binary_id),
sha256=current_binary.get("sha256", ""),
path=current_binary.get("path", ""),
format=current_binary.get("format", ""),
size_bytes=current_binary.get("size_bytes", 0),
architecture=current_binary.get("architecture"),
)
binary_fmt = current_binary.get("format", "").lower()
fixture_name = "pe-default"
if "elf" in binary_fmt:
fixture_name = "elf-default"
elif "mach" in binary_fmt:
fixture_name = "macho-default"
adapter.register_binary(binary_entity, fixture_name)
project_info = {
"id": manifest.get("id", ""),
"name": manifest.get("name", ""),
"state": manifest.get("state", ""),
}
return adapter, binary_entity, project_info
# ---------------------------------------------------------------------------
# Entity-to-dict conversion (identical to structural.py)
# ---------------------------------------------------------------------------
def _entity_to_dict(entity: Any) -> dict[str, Any]:
"""Convert a domain entity to a JSON-serializable dict."""
from dataclasses import fields, is_dataclass
if not is_dataclass(entity):
if isinstance(entity, dict):
return entity
return {"value": str(entity)}
result: dict[str, Any] = {}
for f in fields(entity):
value = getattr(entity, f.name)
if f.name == "binary_id":
continue
if f.name == "content_hash" and value is None:
continue
if value is None:
result[f.name] = None
elif hasattr(value, "to_dict"):
result[f.name] = value.to_dict()
elif hasattr(value, "value"):
result[f.name] = str(value.value)
elif isinstance(value, UUID):
result[f.name] = str(value)
else:
result[f.name] = value
return result
# ---------------------------------------------------------------------------
# Address parsing helpers
# ---------------------------------------------------------------------------
def _parse_address(addr_str: str) -> Address:
"""Parse a hex address string like '0x401000' into an Address object.
Raises InvalidArgsError if the format is invalid.
"""
if not addr_str.startswith("0x"):
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Address must start with '0x' "
"followed by hexadecimal digits (e.g., '0x401000')."
)
try:
int(addr_str, 16)
except ValueError:
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Expected hexadecimal address."
) from None
return Address(
space="ram",
offset=addr_str,
display=addr_str,
)
def _parse_address_range(range_str: str) -> tuple[Address, Address]:
"""Parse an address range string like '0x401000..0x401200'.
Returns (start_address, end_address).
Raises InvalidArgsError if the format is invalid.
"""
match = _ADDR_RANGE_RE.match(range_str)
if not match:
raise InvalidArgsError(
f"Invalid address range format: {range_str!r}. "
"Expected format: <start_hex>..<end_hex> (e.g., '0x401000..0x401200')."
)
start_str, end_str = match.group(1), match.group(2)
start = _parse_address(start_str)
end = _parse_address(end_str)
# Validate that start <= end
if int(start_str, 16) > int(end_str, 16):
raise InvalidArgsError(
f"Invalid address range: start ({start_str}) must be <= end ({end_str})."
)
return start, end
# ---------------------------------------------------------------------------
# Cursor helpers (adapted from structural.py)
# ---------------------------------------------------------------------------
def _make_cursor(
command: str,
project_id: str,
offset: int,
filters: dict[str, Any] | None = None,
sort_key: str | None = None,
) -> str:
"""Build a scoped pagination cursor."""
import hashlib
import json
filters_hash = hashlib.md5(
json.dumps(filters or {}, sort_keys=True).encode("utf-8")
).hexdigest()
cursor_data = {
"c": command,
"p": project_id,
"fh": filters_hash,
"s": sort_key,
"o": offset,
}
json_bytes = json.dumps(cursor_data, sort_keys=True).encode("utf-8")
return base64.urlsafe_b64encode(json_bytes).decode("ascii")
def _decode_cursor(cursor_str: str) -> dict[str, Any]:
"""Decode a base64-encoded cursor string back to a dict."""
import json
try:
json_bytes = base64.urlsafe_b64decode(cursor_str.encode("ascii"))
result: dict[str, Any] = json.loads(json_bytes)
return result
except Exception:
raise InvalidArgsError(
"Invalid cursor value. Cursors are scoped to command, project, "
"filters, and sort. Use a cursor from a matching query."
) from None
def _validate_cursor_scope(
cursor_data: dict[str, Any],
command: str,
project_id: str,
filters: dict[str, Any] | None = None,
sort_key: str | None = None,
) -> int:
"""Validate cursor scope and return offset."""
import hashlib
import json
filters_hash = hashlib.md5(
json.dumps(filters or {}, sort_keys=True).encode("utf-8")
).hexdigest()
c_cmd = cursor_data.get("c")
c_proj = cursor_data.get("p")
c_fh = cursor_data.get("fh")
c_sort = cursor_data.get("s")
offset = cursor_data.get("o", 0)
mismatches: list[str] = []
if c_cmd != command:
mismatches.append(f"command (cursor: {c_cmd}, current: {command})")
if c_proj != project_id:
mismatches.append(f"project (cursor: {c_proj}, current: {project_id})")
if c_fh != filters_hash:
mismatches.append("filters")
if (c_sort or None) != (sort_key or None):
mismatches.append("sort")
if mismatches:
raise InvalidArgsError(
"Cursor scope mismatch: " + "; ".join(mismatches) + ". "
"Pagination cursors are scoped to command, project, filters, and sort. "
"Use a cursor from a matching query."
)
if not isinstance(offset, int) or offset < 0:
raise InvalidArgsError("Invalid cursor offset")
return offset
# ---------------------------------------------------------------------------
# Subparser registration
# ---------------------------------------------------------------------------
def add_subparser(subparsers: Any) -> None:
"""Register focused analysis subcommands: functions, decompile, disassemble, bytes."""
# -- Functions --
functions_parser = subparsers.add_parser(
"functions", help="List functions with name, address, size, confidence, and name source."
)
functions_parser.add_argument("--project", required=True, help="Project name or UUID.")
functions_parser.add_argument(
"--no-exclude-external",
action="store_true",
default=False,
help="Include externally defined functions (excluded by default).",
)
functions_parser.add_argument(
"--no-exclude-thunks",
action="store_true",
default=False,
help="Include thunk functions (excluded by default).",
)
functions_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
functions_parser.add_argument(
"--sort", default="address", help="Sort field (default: address)."
)
# -- Decompile --
decompile_parser = subparsers.add_parser(
"decompile",
help="Decompile a function to reconstructed pseudocode with address map.",
)
decompile_parser.add_argument("--project", required=True, help="Project name or UUID.")
decompile_parser.add_argument(
"selector",
nargs="?",
default=None,
help=(
"A single function selector: function:<name> (e.g., 'function:main') "
"or shorthand function name (e.g., 'main'). "
"Exactly one function selector is required."
),
)
# -- Disassemble --
disassemble_parser = subparsers.add_parser(
"disassemble",
help="Disassemble instructions in a function or address range.",
)
disassemble_parser.add_argument("--project", required=True, help="Project name or UUID.")
disassemble_parser.add_argument(
"target",
nargs="?",
default=None,
help=(
"Disassembly target. Either function:<name> (e.g., 'function:main') "
"or an address range <start>..<end> (e.g., '0x401000..0x401200')."
),
)
# -- Bytes --
bytes_parser = subparsers.add_parser("bytes", help="Read raw bytes at a given address.")
bytes_parser.add_argument("--project", required=True, help="Project name or UUID.")
bytes_parser.add_argument(
"address",
nargs="?",
default=None,
help="Starting address in hex (e.g., '0x401000').",
)
bytes_parser.add_argument(
"length",
nargs="?",
type=int,
default=None,
help="Number of bytes to read (positive integer).",
)
# ---------------------------------------------------------------------------
# Command: functions
# ---------------------------------------------------------------------------
def execute_functions(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'functions' command.
VAL-STRUCT-011: Returns name, address, size_bytes, confidence, name_source.
VAL-STRUCT-012: Excludes external/thunks by default; reports in applied_filters.
VAL-STRUCT-013: --no-exclude-external/--no-exclude-thunks override defaults.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
sort_key: str = getattr(args, "sort", "address")
no_exclude_external: bool = getattr(args, "no_exclude_external", False)
no_exclude_thunks: bool = getattr(args, "no_exclude_thunks", False)
command = "functions"
# Exclude by default; flags invert the default
exclude_external = not no_exclude_external
exclude_thunks = not no_exclude_thunks
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
try:
functions = adapter.get_functions(
binary_entity,
exclude_external=exclude_external,
exclude_thunks=exclude_thunks,
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions: {e}", original_error=str(e)
) from e
items = []
for fn in functions:
d = _entity_to_dict(fn)
# Only include the canonical fields per VAL-STRUCT-011
items.append(d)
# Sort by address offset
if sort_key == "address":
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
elif sort_key == "name":
items.sort(key=lambda x: x.get("name", ""))
total = len(items)
offset = 0
# Build filters dict for cursor scoping
filters: dict[str, Any] = {
"exclude_external": exclude_external,
"exclude_thunks": exclude_thunks,
}
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data, command, project_id, filters=filters, sort_key=sort_key
)
page_items = items[offset : offset + limit]
has_more = (offset + limit) < total
next_cursor: str | None = None
if has_more:
next_cursor = _make_cursor(
command=command,
project_id=project_id,
offset=offset + limit,
filters=filters,
sort_key=sort_key,
)
# Build applied_filters showing the active exclusion state
applied_filters: list[dict[str, Any]] = [
{"filter": "exclude_external", "active": exclude_external},
{"filter": "exclude_thunks", "active": exclude_thunks},
]
data: dict[str, Any] = {
"items": page_items,
"total": total,
"has_more": has_more,
"next_cursor": next_cursor,
"applied_filters": applied_filters,
}
diagnostics: list[dict[str, Any]] = []
warnings: list[dict[str, Any]] = []
if clamp_warning:
warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return {
"success": True,
"partial": False,
"warnings": warnings,
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: disassemble
# ---------------------------------------------------------------------------
def execute_disassemble(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'disassemble' command.
VAL-FOCUS-006: Disassemble by function selector returns instructions.
VAL-FOCUS-007: Disassemble by address range returns instructions in bounds.
VAL-FOCUS-008: No range/selector → exit code 2.
VAL-FOCUS-009: Unmapped range → exit code 9.
VAL-FOCUS-010: Partially mapped → partial=true with diagnostics.
"""
project_name = args.project
target: str | None = getattr(args, "target", None)
# VAL-FOCUS-008: Require explicit target
if not target:
raise InvalidArgsError(
"Disassembly requires a bounded target. "
"Provide a function selector (e.g., 'function:main') or "
"an address range (e.g., '0x401000..0x401200')."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
# Determine if target is a function selector or address range
is_function_selector = target.startswith("function:")
is_address_range = ".." in target and not target.startswith("function:")
if is_function_selector:
# VAL-FOCUS-006: Disassemble by function selector
func_name = target[len("function:") :]
if not func_name:
raise InvalidArgsError("Function selector requires a function name: 'function:<name>'.")
# Find the function by name
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions: {e}", original_error=str(e)
) from e
# Find matching function(s)
matching = [fn for fn in all_functions if fn.name == func_name]
if not matching:
raise EntityNotFoundError("function", func_name)
function = matching[0]
if function.address is None:
raise EntityNotFoundError("function", func_name)
# Determine the range of the function
start_addr = function.address
# Calculate end address from size
start_int = int(start_addr.offset, 16)
end_int = start_int + function.size_bytes - 1
end_addr = Address(
space=start_addr.space,
offset=f"0x{end_int:x}",
display=f"0x{end_int:x}",
)
elif is_address_range:
# VAL-FOCUS-007: Disassemble by explicit address range
start_addr, end_addr = _parse_address_range(target)
else:
raise InvalidArgsError(
f"Invalid disassembly target: {target!r}. "
"Provide a function selector (e.g., 'function:main') or "
"an address range (e.g., '0x401000..0x401200')."
)
# Perform disassembly
try:
instructions = adapter.disassemble(binary_entity, start_addr, end_addr)
except ValueError as e:
msg = str(e)
if "unmapped" in msg.lower():
# VAL-FOCUS-009: Unmapped range → exit code 9
raise EntityNotFoundError(
"address range", f"{start_addr.offset}..{end_addr.offset}"
) from e
raise BackendFailureError(f"Disassembly failed: {e}", original_error=msg) from e
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Disassembly failed: {e}", original_error=str(e)) from e
# Convert to dicts
instr_dicts = [_entity_to_dict(inst) for inst in instructions]
# Check for partial mapping (VAL-FOCUS-010)
partial = False
diagnostics: list[dict[str, Any]] = []
if len(instructions) == 0:
# No instructions returned — the range might be unmapped
raise EntityNotFoundError("address range", f"{start_addr.offset}..{end_addr.offset}")
# Check if the result is partial (last instruction doesn't reach end)
if instructions:
last_addr = instructions[-1].address
if last_addr is not None:
last_offset = int(last_addr.offset, 16)
end_offset = int(end_addr.offset, 16)
if last_offset < end_offset:
partial = True
diagnostics.append(
{
"severity": "WARNING",
"message": (
f"Address range {start_addr.offset}..{end_addr.offset} "
"is partially mapped. Disassembly covers only the mapped "
f"portion up to {last_addr.offset}."
),
"category": "partial_mapping",
}
)
data: dict[str, Any] = {
"instructions": instr_dicts,
"start_address": start_addr.to_dict(),
"end_address": end_addr.to_dict(),
"instruction_count": len(instr_dicts),
"target": target,
}
return {
"success": True,
"partial": partial,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: bytes
# ---------------------------------------------------------------------------
def execute_bytes(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'bytes' command.
VAL-FOCUS-011: Returns hex (2*length chars) and base64.
VAL-FOCUS-012: Unmapped address → exit code 9.
VAL-FOCUS-013: Zero-length request → exit code 2.
VAL-FOCUS-014: Truncation at segment boundary → partial=true with diagnostic.
"""
project_name = args.project
addr_str: str | None = getattr(args, "address", None)
length: int | None = getattr(args, "length", None)
# Validate address
if addr_str is None:
raise InvalidArgsError(
"The 'bytes' command requires an address argument (e.g., '0x401000')."
)
# VAL-FOCUS-013: Zero-length request rejected
if length is None:
raise InvalidArgsError("The 'bytes' command requires a length argument (positive integer).")
if length <= 0:
raise InvalidArgsError(f"Length must be a positive integer, got {length}.")
address = _parse_address(addr_str)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
# Read bytes from adapter
try:
raw_bytes, actual_length = adapter.read_bytes(binary_entity, address, length)
except ValueError as e:
msg = str(e)
if "unmapped" in msg.lower():
# VAL-FOCUS-012: Unmapped address → exit code 9
raise EntityNotFoundError("address", addr_str) from e
if "positive" in msg.lower() or "length" in msg.lower():
raise InvalidArgsError(msg) from e
raise BackendFailureError(f"Failed to read bytes: {e}", original_error=msg) from e
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to read bytes: {e}", original_error=str(e)) from e
# Build hex and base64 output
hex_str = raw_bytes.hex()
b64_str = base64.standard_b64encode(raw_bytes).decode("ascii")
# VAL-FOCUS-014: Truncation detection
partial = actual_length < length
diagnostics: list[dict[str, Any]] = []
if partial:
diagnostics.append(
{
"severity": "WARNING",
"message": (
f"Requested {length} bytes at {addr_str}, but only {actual_length} "
f"bytes are available within the mapped segment. "
"The data has been truncated at the segment boundary."
),
"category": "truncation",
}
)
# VAL-FOCUS-011: Verify hex length
# hex should be 2 * actual_length characters
assert len(hex_str) == 2 * actual_length, (
f"Hex output length mismatch: expected {2 * actual_length}, got {len(hex_str)}"
)
data: dict[str, Any] = {
"hex": hex_str,
"base64": b64_str,
"address": address.to_dict(),
"length": actual_length,
"requested_length": length,
}
return {
"success": True,
"partial": partial,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: decompile
# ---------------------------------------------------------------------------
def _validate_decompile_selector(raw: str) -> str:
"""Validate and normalize a decompile selector.
The decompile command accepts exactly one function selector.
Multiple selectors (comma-separated), wildcards ('*'), and address
ranges ('..') are rejected with INVALID_ARGS (exit code 2).
Args:
raw: The raw selector string from the CLI.
Returns:
The normalized function name string.
Raises:
InvalidArgsError: If the selector is invalid.
"""
if not raw:
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
"Provide a function selector (e.g., 'function:main') or "
"a shorthand function name (e.g., 'main')."
)
# VAL-FOCUS-003: Reject multiple selectors (comma-separated)
if "," in raw:
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
f"Multiple selectors are not supported: {raw!r}. "
"Provide a single function selector like 'function:main' or 'main'."
)
# VAL-FOCUS-003: Reject wildcards
if "*" in raw:
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
f"Wildcards are not supported: {raw!r}. "
"Provide a single function selector like 'function:main' or 'main'."
)
# VAL-FOCUS-003: Reject address ranges
if ".." in raw:
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
f"Address ranges are not supported: {raw!r}. "
"Provide a single function selector like 'function:main' or 'main'."
)
# Check for empty function: prefix (e.g., "function:" with no name)
if raw.strip().lower().startswith("function:") and len(raw.strip()) <= len("function:"):
raise InvalidArgsError(
"Decompile requires a valid function selector. "
f"Empty function name in selector: {raw!r}. "
"Provide a function selector like 'function:main' or 'main'."
)
# Parse the selector
parsed = parse_selector(raw)
# VAL-FOCUS-003: Reject non-function selectors (e.g., address:...)
if parsed.kind == "address":
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
f"Address selectors are not supported: {raw!r}. "
"Provide a function selector like 'function:main' or 'main'."
)
# Extract function name
func_name = parsed.value
if not func_name:
raise InvalidArgsError(
"Decompile requires a valid function selector. "
f"Empty selector value in: {raw!r}. "
"Provide a function selector like 'function:main' or 'main'."
)
return func_name
def execute_decompile(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'decompile' command.
VAL-FOCUS-001: Returns pseudocode (labeled as reconstructed), address_map, diagnostics.
VAL-FOCUS-002: Ambiguous selector → exit code 8 with candidate functions list.
VAL-FOCUS-003: Multiple selectors/wildcards/ranges → exit code 2.
VAL-FOCUS-004: Entity not found → exit code 9.
VAL-FOCUS-005: Timeout → partial results with exit code 12.
VAL-FOCUS-032: Large function respects time limit; no crash or hang.
"""
project_name = args.project
raw_selector: str | None = getattr(args, "selector", None)
timeout_seconds: int = getattr(args, "timeout", 300)
if not raw_selector:
raise InvalidArgsError(
"Decompile requires exactly one function selector. "
"Provide a function selector (e.g., 'function:main') or "
"a shorthand function name (e.g., 'main')."
)
# Validate selector (exactly one function, no wildcards/ranges/multiples)
_ = _validate_decompile_selector(raw_selector)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Retrieve all functions and resolve the selector
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for decompilation: {e}",
original_error=str(e),
) from e
# Resolve the function selector
parsed = parse_selector(raw_selector)
selected_function = resolve_function(parsed, all_functions, require_unique=True)
# Build function info for the result
fn_info: dict[str, Any] = {
"name": selected_function.name,
"address": selected_function.address.to_dict() if selected_function.address else None,
"size_bytes": selected_function.size_bytes,
"signature": selected_function.signature,
}
# Perform decompilation with timeout
try:
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
future = executor.submit(adapter.decompile, binary_entity, selected_function)
try:
decomp_result = future.result(timeout=timeout_seconds)
except concurrent.futures.TimeoutError:
# VAL-FOCUS-005, VAL-FOCUS-032: Timeout → partial results
future.cancel()
raise OperationTimeoutError(
f"Decompilation of function '{selected_function.name}' "
f"timed out after {timeout_seconds}s. "
"Partial results may be available from a shorter analysis run."
) from None
except OperationTimeoutError:
raise
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Decompilation failed for function '{selected_function.name}': {e}",
original_error=str(e),
) from e
# Build the address map: string keys for line numbers → canonical address objects
address_map: dict[str, Any] = {}
for line_num, addr_obj in decomp_result.address_map.items():
address_map[str(line_num)] = addr_obj
# Build diagnostics
diagnostics: list[dict[str, Any]] = list(decomp_result.diagnostics)
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Decompilation results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
data: dict[str, Any] = {
"pseudocode": decomp_result.pseudocode,
"address_map": address_map,
"diagnostics": diagnostics,
"language": decomp_result.language,
"function": fn_info,
}
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
binary-analysis/scripts/binary_analysis/cli/helpers.py
+260
View File
@@ -0,0 +1,260 @@
"""Shared CLI helpers for pagination, warnings, diagnostics, and provenance.
These helpers are used across CLI modules without creating circular imports.
"""
from __future__ import annotations
import json
import platform as _platform
from typing import Any
from binary_analysis import __version__ as _cli_version
# ---------------------------------------------------------------------------
# Constants (matching main.py)
# ---------------------------------------------------------------------------
SCHEMA_VERSION = "1.0.0"
PAGE_SIZE_DEFAULT = 100
PAGE_SIZE_MAX = 1000
# ---------------------------------------------------------------------------
# Provenance helpers
# ---------------------------------------------------------------------------
def default_provenance() -> dict[str, Any]:
"""Return default provenance metadata (base 7 fields) for all commands.
Every response must include: cli_version, schema_version, adapter,
adapter_version, backend, backend_version, platform.
"""
return {
"cli_version": _cli_version,
"schema_version": SCHEMA_VERSION,
"adapter": "none",
"adapter_version": "0.1.0",
"backend": "none",
"backend_version": "0.1.0",
"platform": f"{_platform.system()}-{_platform.machine()}-python{_platform.python_version()}",
}
def enrich_provenance(
provenance: dict[str, Any] | None = None,
*,
project_id: str | None = None,
binary_id: str | None = None,
binary_sha256: str | None = None,
architecture: str | None = None,
analysis_profile: str | None = None,
) -> dict[str, Any]:
"""Enrich provenance with optional context fields.
Args:
provenance: Base provenance dict (uses default if None).
project_id: UUID of the project, added for project-context commands.
binary_id: UUID of the binary, added for binary-context commands.
binary_sha256: SHA-256 of the binary, added for binary-context commands.
architecture: Language/processor spec (e.g., "x86:LE:64:default").
analysis_profile: Profile name (e.g., "standard", "quick", "deep").
Returns:
The enriched provenance dict.
"""
if provenance is None:
provenance = default_provenance()
if project_id is not None:
provenance["project_id"] = project_id
if binary_id is not None:
provenance["binary_id"] = binary_id
if binary_sha256 is not None:
provenance["binary_sha256"] = binary_sha256
if architecture is not None:
provenance["architecture"] = architecture
if analysis_profile is not None:
provenance["analysis_profile"] = analysis_profile
return provenance
# ---------------------------------------------------------------------------
# Pagination helpers
# ---------------------------------------------------------------------------
def clamp_page_size(limit: int | None) -> tuple[int, str | None]:
"""Clamp a page size to the valid range [1, PAGE_SIZE_MAX].
None or values <= 0 default to PAGE_SIZE_DEFAULT.
Values above PAGE_SIZE_MAX are clamped to PAGE_SIZE_MAX.
Args:
limit: Requested page size, or None for default.
Returns:
Tuple of (clamped_page_size, warning_message_or_None).
The warning message is present only when clamping occurred.
"""
if limit is None or limit < 1:
return PAGE_SIZE_DEFAULT, None
if limit > PAGE_SIZE_MAX:
warning = (
f"Requested page size {limit} exceeds maximum {PAGE_SIZE_MAX}. "
f"Clamped to {PAGE_SIZE_MAX}."
)
return PAGE_SIZE_MAX, warning
return limit, None
def build_paginated_response(
items: list[dict[str, Any]],
total: int,
offset: int,
limit: int,
*,
cursor_encoder: Any | None = None,
) -> dict[str, Any]:
"""Build a paginated response with opaque next_page_token.
Args:
items: The sliced page of items.
total: Total number of items across all pages.
offset: Starting offset of this page within the total set.
limit: Page size used for this slice.
cursor_encoder: Optional callable(dict) -> str for cursor encoding.
Returns:
A dict with items, total, page_size, has_more, and next_page_token.
"""
import base64 as _b64
has_more = (offset + limit) < total
next_page_token: str | None = None
if has_more:
if cursor_encoder is not None:
next_page_token = cursor_encoder({"offset": offset + limit})
else:
cursor_data = json.dumps({"offset": offset + limit}).encode("utf-8")
next_page_token = _b64.b64encode(cursor_data).decode("ascii")
return {
"items": items,
"total": total,
"page_size": limit,
"has_more": has_more,
"next_page_token": next_page_token,
}
# ---------------------------------------------------------------------------
# Warning and diagnostics helpers
# ---------------------------------------------------------------------------
def make_warning(
message: str,
severity: str = "WARNING",
category: str = "general",
) -> dict[str, Any]:
"""Create a structured warning entry with severity, message, and category.
Warnings are structurally distinct from diagnostics. They appear in
the `warnings` array, not `diagnostics`.
Args:
message: Human-readable warning description.
severity: Severity from DiagnosticSeverity enum (INFO, WARNING, ERROR).
category: Classification domain (e.g., "pagination", "staleness", "truncation").
Returns:
A dict with severity, message, and category keys.
"""
return {
"severity": severity,
"message": message,
"category": category,
}
def make_diagnostic(
message: str,
severity: str = "ERROR",
category: str = "general",
*,
component: str | None = None,
remediation: str | None = None,
recoverable: bool | None = None,
) -> dict[str, Any]:
"""Create a structured diagnostic entry.
Args:
message: Human-readable diagnostic description.
severity: Severity from DiagnosticSeverity enum.
category: Classification domain.
component: Optional component name (e.g., "Java", "Ghidra").
remediation: Optional remediation hint.
recoverable: Whether retrying could resolve this.
Returns:
A dict with standard diagnostic fields; None-valued optional fields omitted.
"""
diag: dict[str, Any] = {
"severity": severity,
"message": message,
"category": category,
}
if component is not None:
diag["component"] = component
if remediation is not None:
diag["remediation"] = remediation
if recoverable is not None:
diag["recoverable"] = recoverable
return diag
def ensure_collection(data: Any) -> list[Any]:
"""Guarantee that a collection value is a list, never None.
Empty collection results must be [], never null and never absent.
Args:
data: A list or None.
Returns:
The original list, or an empty list if data is None.
"""
if data is None:
return []
if isinstance(data, list):
return data
return list(data)
def make_partial_success(
data: Any,
diagnostics: list[dict[str, Any]],
warnings: list[dict[str, Any]] | None = None,
) -> dict[str, Any]:
"""Build a partial success result envelope fragment.
Partial success means: success=false, partial=true, non-empty diagnostics,
and data containing whatever partial results are available.
Args:
data: The partial result payload.
diagnostics: Non-empty list of diagnostic entries.
warnings: Optional warning entries.
Returns:
A dict with success, partial, warnings, diagnostics, data keys.
"""
return {
"success": False,
"partial": True,
"warnings": warnings or [],
"diagnostics": diagnostics,
"data": data,
}
binary-analysis/scripts/binary_analysis/cli/main.py
+798
View File
@@ -0,0 +1,798 @@
"""CLI entrypoint — argument parsing, dispatch, and JSON envelope output.
The `binary` CLI is the sole automation surface for the binary analysis skill.
Every command supports --json for machine-readable output with a standard
envelope: schema_version, command, generated_at, duration_ms, success,
partial, warnings, diagnostics, provenance, data.
"""
from __future__ import annotations
import argparse
import json
import sys
import time
from datetime import datetime, timezone
from typing import Any
from binary_analysis.cli import (
binary_ops,
bootstrap,
doctor,
functions,
project,
references,
reporting,
search,
security,
structural,
version,
worker,
)
from binary_analysis.cli.helpers import (
SCHEMA_VERSION,
enrich_provenance,
)
from binary_analysis.cli.helpers import (
default_provenance as _default_provenance,
)
from binary_analysis.domain.enums import ExitCode
from binary_analysis.domain.errors import (
BinaryAnalysisError,
DependencyMissingError,
InvalidArgsError,
)
# ---------------------------------------------------------------------------
# Argument type validators
# ---------------------------------------------------------------------------
def _positive_int(value: str) -> int: # pragma: no cover
"""Validate a positive integer argument (for --limit)."""
try:
number = int(value)
except ValueError:
raise argparse.ArgumentTypeError("limit must be a positive integer") from None
if number <= 0:
raise argparse.ArgumentTypeError("limit must be a positive integer")
return number
def _positive_duration(value: str) -> int: # pragma: no cover
"""Validate a positive duration argument in seconds (for --timeout)."""
try:
number = int(value)
except ValueError:
raise argparse.ArgumentTypeError("timeout must be a positive duration") from None
if number <= 0:
raise argparse.ArgumentTypeError("timeout must be a positive duration")
return number
# Default and maximum output sizes (in bytes) for VAL-SAFE-007
DEFAULT_MAX_OUTPUT_BYTES = 64 * 1024 * 1024 # 64 MB
HARD_MAX_OUTPUT_BYTES = 256 * 1024 * 1024 # 256 MB
def _positive_output_size(value: str) -> int: # pragma: no cover
"""Validate a positive output size argument in bytes (for --max-output-size).
Clamps the value to within [1, HARD_MAX_OUTPUT_BYTES].
"""
try:
number = int(value)
except ValueError:
raise argparse.ArgumentTypeError(
f"max-output-size must be a positive integer (1-{HARD_MAX_OUTPUT_BYTES})"
) from None
if number <= 0:
raise argparse.ArgumentTypeError(
f"max-output-size must be a positive integer (1-{HARD_MAX_OUTPUT_BYTES})"
)
if number > HARD_MAX_OUTPUT_BYTES:
raise argparse.ArgumentTypeError(
f"max-output-size exceeds maximum allowed: {HARD_MAX_OUTPUT_BYTES} bytes (256 MB)"
)
return number
def _positive_memory_limit(value: str) -> int: # pragma: no cover
"""Validate a positive memory limit argument in MB (for --max-memory).
Memory limits must be at least 16 MB to allow a minimal operational footprint.
"""
try:
number = int(value)
except ValueError:
raise argparse.ArgumentTypeError(
"max-memory must be a positive integer (minimum 16 MB)"
) from None
if number < 16:
raise argparse.ArgumentTypeError(
"max-memory must be at least 16 MB to allow minimal operation"
)
return number
# ---------------------------------------------------------------------------
# JSON envelope builder
# ---------------------------------------------------------------------------
def build_envelope(
command: str,
success: bool,
partial: bool,
warnings: list[dict[str, Any]],
diagnostics: list[dict[str, Any]],
data: Any,
duration_ms: int,
provenance: dict[str, Any] | None = None,
*,
project_id: str | None = None,
binary_id: str | None = None,
binary_sha256: str | None = None,
architecture: str | None = None,
analysis_profile: str | None = None,
project_state: str | None = None,
) -> dict[str, Any]:
"""Build the standard JSON envelope for every command response.
Args:
command: The invoked command name (e.g., "doctor", "version").
success: Whether the command succeeded.
partial: Whether the result is partial (some work may be incomplete).
warnings: List of warning entries.
diagnostics: List of diagnostic entries.
data: The command-specific data payload.
duration_ms: Wall-clock duration in milliseconds.
provenance: Optional provenance metadata (base fields).
project_id: Optional project UUID for project-context commands.
binary_id: Optional binary UUID for binary-context commands.
binary_sha256: Optional binary SHA-256 for binary-context commands.
architecture: Optional architecture spec for binary commands.
analysis_profile: Optional profile name for post-analysis commands.
Returns:
A dict suitable for JSON serialization.
"""
if provenance is None: # pragma: no cover
provenance = _default_provenance()
provenance = enrich_provenance(
provenance,
project_id=project_id,
binary_id=binary_id,
binary_sha256=binary_sha256,
architecture=architecture,
analysis_profile=analysis_profile,
)
if project_state is not None:
provenance["project_state"] = project_state
return {
"schema_version": SCHEMA_VERSION,
"command": command,
"generated_at": datetime.now(timezone.utc).isoformat(),
"duration_ms": duration_ms,
"success": success,
"partial": partial,
"warnings": warnings,
"diagnostics": diagnostics,
"provenance": provenance,
"data": data,
}
# ---------------------------------------------------------------------------
# Global argument extraction
# ---------------------------------------------------------------------------
_GLOBAL_FLAGS: dict[str, int] = {
"--json": 0,
"--quiet": 0,
"--limit": 1,
"--timeout": 1,
"--max-output-size": 1,
"--max-memory": 1,
}
def _extract_globals(argv: list[str]) -> list[str]:
"""Move global flags before the subcommand for argparse.
Boolean flags consume no value; valued flags consume exactly one.
"""
head: list[str] = []
tail: list[str] = []
i = 0
while i < len(argv):
arg = argv[i]
param = arg.split("=", 1)[0] if "=" in arg else arg
if param in _GLOBAL_FLAGS:
head.append(arg)
count = _GLOBAL_FLAGS[param]
for _ in range(count):
i += 1
if i < len(argv):
head.append(argv[i])
i += 1
else:
tail.append(arg)
i += 1
return head + tail
# ---------------------------------------------------------------------------
# Parser construction
# ---------------------------------------------------------------------------
def build_parser() -> argparse.ArgumentParser:
"""Build the full argparse hierarchy with subcommands."""
parser = argparse.ArgumentParser(
prog="binary",
description=(
"Binary analysis CLI — backend-neutral static analysis harness. "
"Supports project management, binary import, structural queries, "
"focused analysis, security triage, and reporting."
),
formatter_class=argparse.RawDescriptionHelpFormatter,
)
# Global flags
parser.add_argument(
"--json",
action="store_true",
default=False,
help="Emit machine-readable JSON output (standard envelope).",
)
parser.add_argument(
"--quiet",
action="store_true",
default=False,
help="Suppress progress messages and non-error diagnostics on stderr.",
)
# Shared options added as global flags for validation
parser.add_argument(
"--limit",
type=_positive_int,
default=None,
help="Maximum number of results (positive integer).",
)
parser.add_argument(
"--timeout",
type=_positive_duration,
default=300,
help="Operation timeout in seconds (positive integer, default: 300).",
)
parser.add_argument(
"--max-output-size",
type=_positive_output_size,
default=None,
help=(
f"Maximum JSON output size in bytes "
f"(default: {DEFAULT_MAX_OUTPUT_BYTES}, "
f"max: {HARD_MAX_OUTPUT_BYTES}). "
"Output exceeding this limit is truncated with a warning."
),
)
parser.add_argument(
"--max-memory",
type=_positive_memory_limit,
default=None,
help=(
"Memory limit in MB for analysis operations (minimum 16 MB). "
"When exceeded, the operation fails gracefully with a diagnostic "
"instead of crashing. Only effective with backends that support "
"memory limiting."
),
)
sub = parser.add_subparsers(dest="command", help="Available commands")
# Register subcommands
doctor.add_subparser(sub)
bootstrap.add_subparser(sub)
version.add_subparser(sub)
project.add_subparser(sub)
binary_ops.add_subparser(sub)
structural.add_subparser(sub)
functions.add_subparser(sub)
references.add_subparser(sub)
search.add_subparser(sub)
security.add_subparser(sub)
reporting.add_subparser(sub)
worker.add_subparser(sub)
return parser
# ---------------------------------------------------------------------------
# Command dispatch
# ---------------------------------------------------------------------------
def _resolve_command_name(args: argparse.Namespace) -> str:
"""Resolve the canonical command name from parsed args."""
command = args.command
if command == "project":
subcmd = getattr(args, "project_command", None)
if subcmd:
return f"project {subcmd}"
if command == "worker":
subcmd = getattr(args, "worker_command", None)
if subcmd:
return f"worker {subcmd}"
return command or ""
def _dispatch(args: argparse.Namespace) -> dict[str, Any]:
"""Dispatch to the appropriate command handler and return a result dict."""
command = args.command
if not command:
raise InvalidArgsError("No command specified. Run 'binary --help' for usage.")
if command == "doctor":
return doctor.execute(args)
elif command == "bootstrap":
return bootstrap.execute(args)
elif command == "version":
return version.execute(args)
elif command == "project":
project_cmd = getattr(args, "project_command", None)
if project_cmd:
return project.execute(args)
else:
raise InvalidArgsError(
"No project subcommand specified. "
"Available: create, list, status, clean, remove, migrate."
)
elif command == "import":
return binary_ops.execute_import(args)
elif command == "analyze":
return binary_ops.execute_analyze(args)
elif command == "metadata":
return binary_ops.execute_metadata(args)
elif command == "sections":
return structural.execute_sections(args)
elif command == "entrypoints":
return structural.execute_entrypoints(args)
elif command == "imports":
return structural.execute_imports(args)
elif command == "exports":
return structural.execute_exports(args)
elif command == "symbols":
return structural.execute_symbols(args)
elif command == "strings":
return structural.execute_strings(args)
elif command == "functions":
return functions.execute_functions(args)
elif command == "decompile":
return functions.execute_decompile(args)
elif command == "disassemble":
return functions.execute_disassemble(args)
elif command == "bytes":
return functions.execute_bytes(args)
elif command == "xrefs":
return references.execute_xrefs(args)
elif command == "callers":
return references.execute_callers(args)
elif command == "callees":
return references.execute_callees(args)
elif command == "callgraph":
return references.execute_callgraph(args)
elif command == "search":
return search.execute_search(args)
elif command == "trace":
return search.execute_trace(args)
elif command == "triage":
return security.execute_triage(args)
elif command == "diagnostics":
return security.execute_diagnostics(args)
elif command == "suspicious-apis":
return security.execute_suspicious_apis(args)
elif command == "capability-map":
return security.execute_capability_map(args)
elif command == "export-report":
return reporting.execute_export_report(args)
elif command == "audit":
return reporting.execute_audit(args)
elif command == "worker":
return worker.execute(args)
else:
raise InvalidArgsError(f"Unknown command: {command}") # pragma: no cover
# ---------------------------------------------------------------------------
# Output helpers
# ---------------------------------------------------------------------------
def _output_json(envelope: dict[str, Any], max_output_bytes: int | None = None) -> None:
"""Write the JSON envelope to stdout with no extraneous text.
Enforces output size limits: if max_output_bytes is provided and the
serialized JSON exceeds it, the output is truncated and a warning is
added to the envelope before writing.
Args:
envelope: The JSON envelope to serialize.
max_output_bytes: Maximum allowed output size in bytes.
Defaults to DEFAULT_MAX_OUTPUT_BYTES (64 MB) if not specified.
"""
if max_output_bytes is None:
max_output_bytes = DEFAULT_MAX_OUTPUT_BYTES
# Serialize to JSON string
json_bytes = json.dumps(envelope, indent=2, ensure_ascii=False).encode("utf-8")
if len(json_bytes) > max_output_bytes:
# Truncate by serializing with truncated data and adding warning
original_data = envelope.get("data", {})
envelope["data"] = {
"truncated": True,
"truncation_message": (
f"Output size ({len(json_bytes)} bytes) exceeds limit "
f"({max_output_bytes} bytes). Full results truncated. "
"Use pagination (--cursor) or filters to reduce output size."
),
"original_data_type": type(original_data).__name__,
"original_byte_size": len(json_bytes),
}
envelope["partial"] = True
envelope["warnings"] = [
*envelope.get("warnings", []),
{
"severity": "WARNING",
"message": (
f"Output truncated: {len(json_bytes)} bytes exceeds "
f"max-output-size ({max_output_bytes} bytes). "
"Use --cursor for pagination."
),
"category": "output-size-limit",
},
]
# Try again with truncated data
json_bytes = json.dumps(envelope, indent=2, ensure_ascii=False).encode("utf-8")
# Write JSON to stdout (supports both real files and StringIO test mocks)
sys.stdout.write(json_bytes.decode("utf-8"))
sys.stdout.write("\n")
sys.stdout.flush()
def _output_text(envelope: dict[str, Any], args: argparse.Namespace) -> None: # pragma: no cover
"""Write human-readable output for the command result.
Plain-text output is consistent with --json mode: same entity counts,
addresses, and key values are displayed. The output format adapts to the
data shape returned by each command.
"""
data = envelope.get("data", {})
if isinstance(data, dict) and data.get("status") == "not_implemented":
print(data.get("message", "Command not yet implemented."))
return
if isinstance(data, dict) and "cli_version" in data:
_output_version_text(data)
elif isinstance(data, list):
_output_list(data)
elif isinstance(data, dict) and "items" in data:
_output_paginated(data)
elif isinstance(data, dict):
_output_dict(data)
else:
print(data)
# Show diagnostics and warnings
warnings = envelope.get("warnings", [])
diagnostics = envelope.get("diagnostics", [])
_output_warnings(warnings, diagnostics)
# Footer with metadata
success = envelope.get("success", False)
partial = envelope.get("partial", False)
duration = envelope.get("duration_ms", 0)
if args.json:
pass # Footer only for plain-text
else:
status = "SUCCESS" if success else "FAILED"
if partial:
status += " (partial)"
print(f"\n[{status} in {duration}ms]")
def _output_version_text(data: dict[str, Any]) -> None: # pragma: no cover
"""Human-readable version output."""
print(f"binary CLI version: {data.get('cli_version', 'unknown')}")
print(f"Schema version: {data.get('schema_version', 'unknown')}")
print(f"Workspace version: {data.get('workspace_version', 'unknown')}")
adapter = data.get("adapter", {})
backend = data.get("backend", {})
platform_info = data.get("platform", {})
if isinstance(adapter, dict):
print(f"Adapter: {adapter.get('name', 'unknown')} {adapter.get('version', '')}")
if isinstance(backend, dict):
print(f"Backend: {backend.get('name', 'unknown')} {backend.get('version', '')}")
if isinstance(platform_info, dict):
print(
f"Platform: {platform_info.get('system', '?')} "
f"{platform_info.get('machine', '?')} "
f"(Python {platform_info.get('python_version', '?')})"
)
def _output_list(items: list[Any]) -> None: # pragma: no cover
"""Output a simple list of items."""
if not items:
print("(empty)")
return
for item in items:
if isinstance(item, dict):
_print_entity(item)
else:
print(str(item))
def _output_paginated(data: dict[str, Any]) -> None: # pragma: no cover
"""Output paginated results with count and cursor info."""
items = data.get("items", [])
total = data.get("total", len(items))
has_more = data.get("has_more", False)
next_page_token = data.get("next_page_token")
print(f"Total: {total}")
if not items:
print("(no results)")
return
for item in items:
if isinstance(item, dict):
_print_entity(item)
else:
print(str(item))
if has_more and next_page_token:
print(f"\n--- more results available (next_page_token: {next_page_token}) ---")
def _output_dict(data: dict[str, Any]) -> None: # pragma: no cover
"""Output a flat dict as key: value pairs, handling nested entities."""
for key, value in data.items():
if key == "status":
continue
if isinstance(value, dict):
if "space" in value and "offset" in value and "display" in value:
# Address object
print(
f"{key}: {value.get('display', value['offset'])}"
f"{' (file_offset=' + str(value['file_offset']) + ')' if value.get('file_offset') is not None else ''}"
)
else:
print(f"{key}:")
for sub_k, sub_v in value.items():
print(f" {sub_k}: {sub_v}")
elif isinstance(value, list):
if not value:
print(f"{key}: []")
else:
print(f"{key}:")
for idx, item in enumerate(value):
if isinstance(item, dict):
_print_entity(item, indent=" ")
else:
print(f" [{idx}] {item}")
elif value is None:
print(f"{key}: (null)")
else:
print(f"{key}: {value}")
def _print_entity(entity: dict[str, Any], indent: str = "") -> None: # pragma: no cover
"""Print a single entity in a compact human-readable format."""
name = entity.get("name", entity.get("text", entity.get("symbol", "")))
address = entity.get("address", {})
addr_display: str = ""
if isinstance(address, dict):
addr_display = str(address.get("display", address.get("offset", "")))
elif address is not None:
addr_display = str(address)
# Build a one-line summary
parts = []
if name:
parts.append(str(name))
if addr_display:
parts.append(f"@ {addr_display}")
# Common extra fields
if "size_bytes" in entity:
parts.append(f"{entity['size_bytes']}B")
if "length" in entity and entity.get("length"):
parts.append(f"len={entity['length']}")
if "kind" in entity:
parts.append(str(entity["kind"]))
if "state" in entity:
parts.append(str(entity["state"]))
if "encoding" in entity:
parts.append(str(entity["encoding"]))
if "confidence" in entity:
parts.append(str(entity["confidence"]))
if entity.get("module"):
parts.append(f"({entity['module']})")
line = f"{indent}{' | '.join(parts)}" if parts else f"{indent}(unnamed)"
print(line)
def _output_warnings( # pragma: no cover
warnings: list[dict[str, Any]],
diagnostics: list[dict[str, Any]],
) -> None:
"""Output warnings and diagnostics to stderr."""
for w in warnings:
msg = w.get("message", str(w))
print(f"Warning: {msg}", file=sys.stderr)
for d in diagnostics:
severity = d.get("severity", "INFO")
msg = d.get("message", str(d))
print(f"[{severity}] {msg}", file=sys.stderr)
# ---------------------------------------------------------------------------
# Main entrypoint
# ---------------------------------------------------------------------------
def main(argv: list[str] | None = None) -> int:
"""Parse arguments, dispatch, and output results.
Returns an exit code (0-13).
"""
parser = build_parser()
if argv is None: # pragma: no cover
argv = sys.argv[1:]
# Reorder to handle global flags before subcommand
argv = _extract_globals(argv)
t_start = time.perf_counter()
try:
args = parser.parse_args(argv)
except SystemExit as e:
# argparse calls sys.exit(2) on invalid args; map to exit code 2
if e.code == 0: # pragma: no cover
return ExitCode.SUCCESS
return ExitCode.INVALID_ARGS # pragma: no cover
command_name = _resolve_command_name(args)
quiet = getattr(args, "quiet", False)
max_output_size: int | None = getattr(args, "max_output_size", None)
if max_output_size is None:
max_output_size = DEFAULT_MAX_OUTPUT_BYTES
max_memory: int | None = getattr(args, "max_memory", None)
try:
result = _dispatch(args)
except InvalidArgsError as e:
t_elapsed = int((time.perf_counter() - t_start) * 1000)
envelope = build_envelope(
command=command_name or "unknown",
success=False,
partial=False,
warnings=[],
diagnostics=[e.to_diagnostic()],
data=None,
duration_ms=t_elapsed,
)
if args.json:
_output_json(envelope, max_output_size)
else: # pragma: no cover
print(f"Error: {e.message}", file=sys.stderr) # pragma: no cover
return e.exit_code
except DependencyMissingError as e: # pragma: no cover
t_elapsed = int((time.perf_counter() - t_start) * 1000)
envelope = build_envelope(
command=command_name or "unknown",
success=False,
partial=False,
warnings=[],
diagnostics=[e.to_diagnostic()],
data=None,
duration_ms=t_elapsed,
)
if args.json:
_output_json(envelope, max_output_size)
else: # pragma: no cover
print(f"Error: {e.message}", file=sys.stderr) # pragma: no cover
return e.exit_code
except BinaryAnalysisError as e:
t_elapsed = int((time.perf_counter() - t_start) * 1000)
envelope = build_envelope(
command=command_name or "unknown",
success=False,
partial=False,
warnings=[],
diagnostics=[e.to_diagnostic()],
data=None,
duration_ms=t_elapsed,
)
if args.json:
_output_json(envelope, max_output_size)
else: # pragma: no cover
print(f"Error: {e.message}", file=sys.stderr) # pragma: no cover
return e.exit_code
# Check memory limit (VAL-SAFE-012)
if max_memory is not None:
try:
import resource
soft_mb = max_memory
soft_bytes = soft_mb * 1024 * 1024
current_soft, current_hard = resource.getrlimit(resource.RLIMIT_AS)
if current_soft == resource.RLIM_INFINITY or current_soft > soft_bytes:
resource.setrlimit(resource.RLIMIT_AS, (soft_bytes, current_hard))
except (ImportError, ValueError, OSError):
# resource module not available or limit can't be set
# (e.g., on some macOS versions or without sufficient privileges)
pass
t_elapsed = int((time.perf_counter() - t_start) * 1000)
# Build the standard envelope
success = result.get("success", True)
partial = result.get("partial", False)
warnings_list = result.get("warnings", [])
diagnostics = result.get("diagnostics", [])
data = result.get("data", {})
# Extract provenance overrides from result
provenance_project_state: str | None = result.get("_provenance_project_state")
provenance_analysis_profile: str | None = result.get("_provenance_analysis_profile")
provenance_project_id: str | None = result.get("_provenance_project_id")
provenance_binary_id: str | None = result.get("_provenance_binary_id")
provenance_binary_sha256: str | None = result.get("_provenance_binary_sha256")
envelope = build_envelope(
command=command_name,
success=success,
partial=partial,
warnings=warnings_list,
diagnostics=diagnostics,
data=data,
duration_ms=t_elapsed,
project_id=provenance_project_id,
binary_id=provenance_binary_id,
binary_sha256=provenance_binary_sha256,
project_state=provenance_project_state,
analysis_profile=provenance_analysis_profile,
)
if args.json:
_output_json(envelope, max_output_size)
else: # pragma: no cover
if not quiet:
_output_text(envelope, args)
# Respect explicit exit_code from command result, otherwise derive from success
explicit_code = result.get("_exit_code")
if isinstance(explicit_code, int):
return explicit_code
return ExitCode.SUCCESS if success else ExitCode.GENERIC_ERROR
if __name__ == "__main__":
sys.exit(main())
binary-analysis/scripts/binary_analysis/cli/project.py
+786
View File
@@ -0,0 +1,786 @@
"""Project command — manage analysis workspaces.
Subcommands: create, list, status, clean, remove, migrate.
Implements the full project lifecycle with state machine enforcement,
atomic manifest writes, file-based locking, and confirmation gates for
destructive operations.
"""
from __future__ import annotations
import argparse
import json
import sys
import time
from typing import Any
from binary_analysis.cli.helpers import (
build_paginated_response,
clamp_page_size,
)
from binary_analysis.domain.enums import AuditResult, ProjectState
from binary_analysis.domain.errors import (
InvalidArgsError,
ProjectNotFoundError,
)
from binary_analysis.projects.cache import cache_clear
from binary_analysis.projects.lock import (
get_lock_holder,
is_locked,
)
from binary_analysis.projects.manifest import (
create_manifest,
load_manifest,
save_manifest,
update_manifest_field,
)
from binary_analysis.projects.state_machine import (
can_clean,
should_reject_migrate,
)
from binary_analysis.projects.workspace import (
create_workspace,
get_project_path,
get_workspace_subdirs,
list_workspaces,
remove_workspace,
validate_project_name,
workspace_exists,
)
from binary_analysis.reporting.audit import write_audit_event
# Current workspace version for migration
_WORKSPACE_VERSION = "1"
# ---------------------------------------------------------------------------
# Subparser registration
# ---------------------------------------------------------------------------
def _build_project_subparsers(subparsers: Any) -> None:
"""Register project sub-subcommands."""
create_parser: argparse.ArgumentParser = subparsers.add_parser(
"create", help="Create a new project workspace."
)
create_parser.add_argument("name", help="Project name.")
create_parser.add_argument(
"--dry-run",
action="store_true",
help="Preview creation without mutating.",
)
list_parser = subparsers.add_parser("list", help="List projects with pagination.")
# --limit is read from the root parser (consumed before the subparser by
# _extract_globals). The list subparser does not register its own --limit
# to avoid overwriting the root parser's value.
list_parser.add_argument(
"--page-token",
default=None,
help="Opaque pagination cursor from previous response (next_page_token).",
)
status_parser = subparsers.add_parser("status", help="Show project state and metadata.")
status_parser.add_argument("project", help="Project name or UUID.")
clean_parser = subparsers.add_parser("clean", help="Reset a FAILED project to CREATED.")
clean_parser.add_argument("project", help="Project name or UUID.")
clean_parser.add_argument("--yes", action="store_true", help="Skip confirmation prompt.")
clean_parser.add_argument(
"--force", action="store_true", help="Force clean without confirmation."
)
remove_parser = subparsers.add_parser("remove", help="Delete a project workspace.")
remove_parser.add_argument("project", help="Project name or UUID.")
remove_parser.add_argument("--yes", action="store_true", help="Skip confirmation prompt.")
remove_parser.add_argument(
"--force", action="store_true", help="Force removal without confirmation."
)
remove_parser.add_argument(
"--dry-run",
action="store_true",
help="Preview deletion paths without mutating.",
)
migrate_parser = subparsers.add_parser("migrate", help="Upgrade project workspace format.")
migrate_parser.add_argument("project", help="Project name or UUID.")
migrate_parser.add_argument(
"--plan",
action="store_true",
help="Show migration plan without mutating.",
)
migrate_parser.add_argument(
"--apply",
action="store_true",
help="Perform the workspace format upgrade.",
)
migrate_parser.add_argument(
"--dry-run",
action="store_true",
help="Preview migration plan without mutating.",
)
def add_subparser(subparsers: Any) -> argparse.ArgumentParser:
"""Register the project subcommand with sub-subcommands."""
parser: argparse.ArgumentParser = subparsers.add_parser(
"project",
help="Manage analysis workspaces.",
)
project_sub = parser.add_subparsers(dest="project_command", help="Project subcommands")
_build_project_subparsers(project_sub)
return parser
def _positive_int(value: str) -> int:
"""Validate a positive integer argument."""
try:
number = int(value)
except ValueError:
raise argparse.ArgumentTypeError("limit must be a positive integer") from None
if number <= 0:
raise argparse.ArgumentTypeError("limit must be a positive integer")
return number
# ---------------------------------------------------------------------------
# Command execution dispatch
# ---------------------------------------------------------------------------
def execute(args: argparse.Namespace) -> dict[str, Any]:
"""Run a project subcommand.
Dispatches to the appropriate handler based on project_command.
Returns a result dict compatible with the JSON envelope builder.
"""
subcommand = getattr(args, "project_command", None)
if subcommand is None:
raise InvalidArgsError(
"No project subcommand specified. "
"Available: create, list, status, clean, remove, migrate."
)
handlers: dict[str, Any] = {
"create": _execute_create,
"list": _execute_list,
"status": _execute_status,
"clean": _execute_clean,
"remove": _execute_remove,
"migrate": _execute_migrate,
}
handler = handlers.get(subcommand)
if handler is None:
raise InvalidArgsError(f"Unknown project subcommand: {subcommand}")
result: dict[str, Any] = handler(args)
return result
# ---------------------------------------------------------------------------
# Project path resolution
# ---------------------------------------------------------------------------
def _resolve_project_path(project_name: str) -> str:
"""Resolve a project name to its workspace path.
Also tries to resolve by UUID by scanning workspace directories.
Args:
project_name: Project name or UUID string.
Returns:
Absolute path to the project workspace directory.
Raises:
ProjectNotFoundError: If the project doesn't exist.
"""
# First, try by name
if workspace_exists(project_name):
return str(get_project_path(project_name))
# Try by UUID — scan all workspaces
for ws_name in list_workspaces():
ws_path = str(get_project_path(ws_name))
try:
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name:
return ws_path
except Exception:
continue # Skip corrupted manifests
raise ProjectNotFoundError(project_name)
def _resolve_project_name(project_name_or_id: str) -> str:
"""Resolve a project name or UUID to the project's directory name.
Returns the directory name used in the workspace root.
"""
if workspace_exists(project_name_or_id):
return project_name_or_id
# Try UUID lookup
for ws_name in list_workspaces():
try:
ws_path = str(get_project_path(ws_name))
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name_or_id:
return ws_name
except Exception:
continue
raise ProjectNotFoundError(project_name_or_id)
# ---------------------------------------------------------------------------
# Project create
# ---------------------------------------------------------------------------
def _execute_create(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project create' subcommand."""
t_start = time.perf_counter()
project_name = args.name
dry_run = getattr(args, "dry_run", False)
# Validate project name
try:
validate_project_name(project_name)
except ValueError as e:
raise InvalidArgsError(str(e)) from e
# Check for duplicates
if workspace_exists(project_name):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "ERROR",
"message": f"Project '{project_name}' already exists.",
"category": "project",
}
],
"data": None,
}
# Dry-run: report plan without mutating
if dry_run:
project_dir_path = get_project_path(project_name)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"dry_run": True,
"name": project_name,
"directory": str(project_dir_path),
"state": ProjectState.CREATED.value,
},
}
# Create workspace + manifest
project_dir_str = str(create_workspace(project_name))
manifest = create_manifest(project_name)
save_manifest(project_dir_str, manifest)
# Record audit event
duration_ms = int((time.perf_counter() - t_start) * 1000)
write_audit_event(
project_dir_str,
command="project create",
result=AuditResult.SUCCESS,
duration_ms=duration_ms,
args={"name": project_name},
project_id=manifest["id"],
)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"id": manifest["id"],
"name": project_name,
"state": manifest["state"],
"created_at": manifest["created_at"],
},
}
# ---------------------------------------------------------------------------
# Project list
# ---------------------------------------------------------------------------
def _execute_list(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project list' subcommand with cursor-based pagination."""
# Read limit from global args (consumed by argparse before subparser).
limit, _clamp_warning = clamp_page_size(getattr(args, "limit", None))
page_token_str: str | None = getattr(args, "page_token", None)
# Build warnings
warnings: list[dict[str, Any]] = []
if _clamp_warning:
from binary_analysis.cli.helpers import make_warning
warnings.append(make_warning(_clamp_warning, severity="WARNING", category="pagination"))
# Collect all project names
all_names = list_workspaces()
# Decode cursor if present (opaque base64-encoded JSON with offset)
start_index = 0
if page_token_str:
try:
import base64
cursor_data = json.loads(base64.urlsafe_b64decode(page_token_str.encode("ascii")))
start_index = cursor_data.get("offset", 0)
except Exception:
raise InvalidArgsError("Invalid page_token value") from None
# Slice for pagination
total = len(all_names)
page_names = all_names[start_index : start_index + limit]
# Load manifests for each project in the page
items: list[dict[str, Any]] = []
for name in page_names:
try:
ws_path = str(get_project_path(name))
manifest = load_manifest(ws_path)
items.append(
{
"id": manifest.get("id"),
"name": manifest.get("name", name),
"state": manifest.get("state"),
"created_at": manifest.get("created_at"),
"binary_count": manifest.get("binary_count", 0),
"is_stale": manifest.get("is_stale", False),
}
)
except Exception:
# Skip corrupted/missing projects in listing
items.append(
{
"name": name,
"state": "UNKNOWN",
}
)
paginated = build_paginated_response(
items=items,
total=total,
offset=start_index,
limit=limit,
)
return {
"success": True,
"partial": False,
"warnings": warnings,
"diagnostics": [],
"data": paginated,
}
def _encode_cursor(data: dict[str, Any]) -> str:
"""Encode a cursor dict as a base64-encoded JSON string (opaque cursor)."""
import base64
json_bytes = json.dumps(data).encode("utf-8")
return base64.urlsafe_b64encode(json_bytes).decode("ascii")
def _decode_cursor(cursor_str: str) -> dict[str, Any]:
"""Decode a base64-encoded cursor string back to a dict."""
import base64
json_bytes = base64.urlsafe_b64decode(cursor_str.encode("ascii"))
result: dict[str, Any] = json.loads(json_bytes)
return result
# ---------------------------------------------------------------------------
# Project status
# ---------------------------------------------------------------------------
def _execute_status(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project status' subcommand."""
project_name = args.project
project_path = _resolve_project_path(project_name)
pw_name = _resolve_project_name(project_name)
manifest = load_manifest(project_path)
# Get lock information
lock_holder = get_lock_holder(project_path)
lock_info: dict[str, Any] | None = None
if lock_holder:
lock_info = {"holder": lock_holder}
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"id": manifest.get("id"),
"name": manifest.get("name", pw_name),
"state": manifest.get("state"),
"binary_count": manifest.get("binary_count", 0),
"created_at": manifest.get("created_at"),
"updated_at": manifest.get("updated_at"),
"workspace_version": manifest.get("workspace_version"),
"is_stale": manifest.get("is_stale", False),
"lock": lock_info,
"description": manifest.get("description"),
},
}
# ---------------------------------------------------------------------------
# Project clean
# ---------------------------------------------------------------------------
def _execute_clean(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project clean' subcommand.
Resets a FAILED project back to CREATED state, clearing cache and
diagnostics. Only operates on FAILED projects. Requires user
confirmation unless --yes or --force is provided.
"""
project_name = args.project
yes = getattr(args, "yes", False)
force = getattr(args, "force", False)
skip_confirmation = yes or force
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
current_state_str = manifest.get("state", "")
try:
current_state = ProjectState(current_state_str)
except ValueError:
current_state = ProjectState.CREATED
# Confirmation check (VAL-PROJ-009: must come before state validation)
if not skip_confirmation:
try:
prompt = (
f"This will reset project '{project_name}' from FAILED to CREATED, "
f"clearing all cached data and diagnostics. Continue? [y/N]: "
)
print(prompt, file=sys.stderr, end="", flush=True)
response = sys.stdin.readline().strip().lower()
if response not in ("y", "yes"):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"message": "Clean operation cancelled by user.",
"category": "user",
}
],
"data": None,
}
except (EOFError, KeyboardInterrupt):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"message": "Clean operation cancelled.",
"category": "user",
}
],
"data": None,
}
# Only FAILED projects can be cleaned (validated after confirmation)
if not can_clean(current_state):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "ERROR",
"message": (
f"Clean is only allowed on FAILED projects. "
f"Current state: {current_state.value}. "
f"Use 'project remove' to delete this project."
),
"category": "state_machine",
}
],
"data": None,
}
# Clear cache
cache_clear(project_path)
# Reset state to CREATED, clear diagnostics
update_manifest_field(
project_path,
{
"state": ProjectState.CREATED.value,
"is_stale": False,
"diagnostics": [],
},
)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"name": manifest.get("name", project_name),
"id": manifest.get("id"),
"state": ProjectState.CREATED.value,
"previous_state": current_state.value,
},
}
# ---------------------------------------------------------------------------
# Project remove
# ---------------------------------------------------------------------------
def _execute_remove(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project remove' subcommand.
Deletes the entire project workspace. Requires user confirmation
unless --yes or --force is provided. Supports --dry-run for preview.
"""
project_name = args.project
yes = getattr(args, "yes", False)
force = getattr(args, "force", False)
dry_run = getattr(args, "dry_run", False)
skip_confirmation = yes or force or dry_run
pw_name = _resolve_project_name(project_name)
project_path = str(get_project_path(pw_name))
# Get paths that would be deleted
paths_to_delete: list[str] = []
try:
subdirs = get_workspace_subdirs(pw_name)
for _name, dir_path in sorted(subdirs.items()):
paths_to_delete.append(str(dir_path))
except Exception:
paths_to_delete.append(project_path)
# Dry-run: preview without deleting
if dry_run:
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"dry_run": True,
"name": pw_name,
"paths": paths_to_delete,
},
}
# Confirmation check
if not skip_confirmation:
try:
prompt = (
f"This will permanently delete project '{pw_name}' "
f"and all its contents ({len(paths_to_delete)} directories). "
f"Continue? [y/N]: "
)
print(prompt, file=sys.stderr, end="", flush=True)
response = sys.stdin.readline().strip().lower()
if response not in ("y", "yes"):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"message": "Remove operation cancelled by user.",
"category": "user",
}
],
"data": None,
}
except (EOFError, KeyboardInterrupt):
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"message": "Remove operation cancelled.",
"category": "user",
}
],
"data": None,
}
# Perform deletion
remove_workspace(pw_name)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"name": pw_name,
"removed": True,
},
}
# ---------------------------------------------------------------------------
# Project migrate
# ---------------------------------------------------------------------------
def _execute_migrate(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'project migrate' subcommand.
Supports --plan (show upgrade path), --apply (perform upgrade),
and --dry-run (preview without mutation). Rejects migrate on locked
projects.
"""
project_name = args.project
plan = getattr(args, "plan", False)
apply_flag = getattr(args, "apply", False)
dry_run = getattr(args, "dry_run", False)
# --dry-run is equivalent to --plan for preview
is_preview = plan or dry_run
is_apply = apply_flag
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
current_version = manifest.get("workspace_version", "1")
target_version = _WORKSPACE_VERSION
# Read current state
current_state_str = manifest.get("state", "")
try:
current_state = ProjectState(current_state_str)
except ValueError:
current_state = ProjectState.CREATED
locked = is_locked(project_path)
# Reject migrate on locked projects
if is_apply and should_reject_migrate(current_state, locked):
reason_parts = []
if locked:
reason_parts.append("project is currently locked")
if current_state == ProjectState.ANALYZING:
reason_parts.append("project is in ANALYZING state")
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "ERROR",
"message": (
f"Cannot migrate: {'; '.join(reason_parts)}. "
f"Wait for the operation to complete or release the lock."
),
"category": "state_machine",
}
],
"data": None,
}
# Build migration steps
if current_version == target_version:
migration_steps: list[dict[str, str]] = []
message = "Project is already at the latest workspace version."
else:
migration_steps = [
{
"from_version": current_version,
"to_version": target_version,
"description": f"Upgrade workspace from v{current_version} to v{target_version}",
}
]
message = f"Upgrade from v{current_version} to v{target_version} available."
# Preview mode
if is_preview:
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"current_version": current_version,
"target_version": target_version,
"migration_steps": migration_steps,
"message": message,
"dry_run": True,
},
}
# Apply migration
if is_apply:
if current_version == target_version:
# Already at target — no-op success
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"current_version": current_version,
"target_version": target_version,
"migration_steps": migration_steps,
"applied": False,
"message": "Already at target version; no migration needed.",
},
}
# Perform the upgrade
update_manifest_field(project_path, {"workspace_version": target_version})
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"current_version": target_version,
"target_version": target_version,
"migration_steps": migration_steps,
"applied": True,
"message": f"Migrated from v{current_version} to v{target_version}.",
},
}
# Neither --plan, --dry-run, nor --apply specified — show error
raise InvalidArgsError(
"Migrate requires --plan, --apply, or --dry-run. "
"Use --plan to preview the migration, --apply to perform it."
)
binary-analysis/scripts/binary_analysis/cli/references.py
+733
View File
@@ -0,0 +1,733 @@
"""Cross-reference and call graph commands — xrefs, callers, callees, callgraph.
All commands follow the standard JSON envelope pattern. Xrefs returns
cross-references with from/to addresses, kind (ReferenceKind), and confidence.
Callers lists functions that call the target. Callees lists functions called
by the target. Callgraph builds a bounded graph rooted at a target function.
Validation assertions covered:
- VAL-FOCUS-015, 016, 017: Xrefs
- VAL-FOCUS-018, 019: Callers
- VAL-FOCUS-020, 021: Callees
- VAL-FOCUS-022, 023, 024, 031: Callgraph
"""
from __future__ import annotations
import argparse
from typing import Any
from uuid import UUID, uuid4
from binary_analysis.domain.entities import Address
from binary_analysis.domain.errors import (
BackendFailureError,
BinaryAnalysisError,
BinaryNotFoundError,
EntityNotFoundError,
InvalidArgsError,
ProjectNotFoundError,
)
from binary_analysis.domain.selectors import (
parse_selector,
resolve_function,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.workspace import (
get_project_path,
list_workspaces,
workspace_exists,
)
# ---------------------------------------------------------------------------
# Breadth limits (for callgraph node bounding)
# ---------------------------------------------------------------------------
DEFAULT_MAX_CALLGRAPH_NODES = 100
DEFAULT_MAX_DEPTH = 3
MAX_DEPTH_LIMIT = 10
# ---------------------------------------------------------------------------
# Project path resolution
# ---------------------------------------------------------------------------
def _resolve_project_path(project_name: str) -> str:
"""Resolve a project name or UUID to its workspace path."""
if workspace_exists(project_name):
return str(get_project_path(project_name))
for ws_name in list_workspaces():
ws_path = str(get_project_path(ws_name))
try:
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name:
return ws_path
except Exception:
continue
raise ProjectNotFoundError(project_name)
# ---------------------------------------------------------------------------
# Shared adapter/binary resolution
# ---------------------------------------------------------------------------
def _get_adapter_and_binary(
project_path: str, manifest: dict[str, Any]
) -> tuple[Any, Any, dict[str, Any]]:
"""Resolve the adapter, binary entity, and project info.
Returns:
Tuple of (adapter, Binary entity, project_info dict with id/name/state).
"""
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.domain.entities import Binary as BinaryEntity
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError(
"No binary has been imported into this project. "
"Use 'binary import' to add a binary before querying."
)
adapter = FakeAdapter()
adapter.set_fixture("pe-default", FakeAdapter.pe_fixture())
adapter.set_fixture("elf-default", FakeAdapter.elf_fixture())
adapter.set_fixture("macho-default", FakeAdapter.macho_fixture())
binary_id = current_binary.get("id", str(uuid4()))
binary_entity = BinaryEntity(
id=UUID(binary_id),
sha256=current_binary.get("sha256", ""),
path=current_binary.get("path", ""),
format=current_binary.get("format", ""),
size_bytes=current_binary.get("size_bytes", 0),
architecture=current_binary.get("architecture"),
)
binary_fmt = current_binary.get("format", "").lower()
fixture_name = "pe-default"
if "elf" in binary_fmt:
fixture_name = "elf-default"
elif "mach" in binary_fmt:
fixture_name = "macho-default"
adapter.register_binary(binary_entity, fixture_name)
project_info = {
"id": manifest.get("id", ""),
"name": manifest.get("name", ""),
"state": manifest.get("state", ""),
}
return adapter, binary_entity, project_info
# ---------------------------------------------------------------------------
# Entity-to-dict conversion
# ---------------------------------------------------------------------------
def _entity_to_dict(entity: Any) -> dict[str, Any]:
"""Convert a domain entity to a JSON-serializable dict."""
from dataclasses import fields, is_dataclass
if not is_dataclass(entity):
if isinstance(entity, dict):
return entity
return {"value": str(entity)}
result: dict[str, Any] = {}
for f in fields(entity):
value = getattr(entity, f.name)
if f.name == "binary_id":
continue
if f.name == "content_hash" and value is None:
continue
if value is None:
result[f.name] = None
elif hasattr(value, "to_dict"):
result[f.name] = value.to_dict()
elif hasattr(value, "value"):
result[f.name] = str(value.value)
elif isinstance(value, UUID):
result[f.name] = str(value)
else:
result[f.name] = value
return result
# ---------------------------------------------------------------------------
# Address parsing and resolution
# ---------------------------------------------------------------------------
def _parse_address(addr_str: str) -> Address:
"""Parse a hex address string like '0x401000' into an Address object.
Raises InvalidArgsError if the format is invalid.
"""
if not addr_str.startswith("0x"):
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Address must start with '0x' "
"followed by hexadecimal digits (e.g., '0x401000')."
)
try:
int(addr_str, 16)
except ValueError:
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Expected hexadecimal address."
) from None
return Address(
space="ram",
offset=addr_str,
display=addr_str,
)
# ---------------------------------------------------------------------------
# Subparser registration
# ---------------------------------------------------------------------------
def add_subparser(subparsers: Any) -> None:
"""Register reference query subcommands: xrefs, callers, callees, callgraph."""
# -- Xrefs --
xrefs_parser = subparsers.add_parser(
"xrefs",
help="List cross-references to/from an entity (function or address).",
)
xrefs_parser.add_argument("--project", required=True, help="Project name or UUID.")
xrefs_parser.add_argument(
"selector",
nargs="?",
default=None,
help=(
"Entity selector: function:<name> (e.g., 'function:main') or "
"a hex address (e.g., '0x401000')."
),
)
# -- Callers --
callers_parser = subparsers.add_parser(
"callers",
help="List functions that call the target function.",
)
callers_parser.add_argument("--project", required=True, help="Project name or UUID.")
callers_parser.add_argument(
"selector",
nargs="?",
default=None,
help="Function selector: function:<name> (e.g., 'function:main') or shorthand name.",
)
# -- Callees --
callees_parser = subparsers.add_parser(
"callees",
help="List functions called by the target function.",
)
callees_parser.add_argument("--project", required=True, help="Project name or UUID.")
callees_parser.add_argument(
"selector",
nargs="?",
default=None,
help="Function selector: function:<name> (e.g., 'function:main') or shorthand name.",
)
# -- Callgraph --
callgraph_parser = subparsers.add_parser(
"callgraph",
help="Build a bounded call graph rooted at a target function.",
)
callgraph_parser.add_argument("--project", required=True, help="Project name or UUID.")
callgraph_parser.add_argument(
"selector",
nargs="?",
default=None,
help="Function selector: function:<name> (e.g., 'function:main') or shorthand name.",
)
callgraph_parser.add_argument(
"--depth",
type=int,
default=DEFAULT_MAX_DEPTH,
help=f"Maximum call graph depth (positive integer, default: {DEFAULT_MAX_DEPTH}, max: {MAX_DEPTH_LIMIT}).",
)
# ---------------------------------------------------------------------------
# Command: xrefs
# ---------------------------------------------------------------------------
def execute_xrefs(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'xrefs' command.
VAL-FOCUS-015: Returns references with from, to (address objects),
kind (ReferenceKind), confidence; provenance present.
VAL-FOCUS-016: Empty references result is valid (exit 0, no error diagnostics).
VAL-FOCUS-017: Entity not found returns exit code 9 (ENTITY_NOT_FOUND).
"""
project_name = args.project
raw_selector: str | None = getattr(args, "selector", None)
if not raw_selector:
raise InvalidArgsError(
"The 'xrefs' command requires an entity selector. "
"Provide a function selector (e.g., 'function:main') or "
"a hex address (e.g., '0x401000')."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Parse the selector
parsed = parse_selector(raw_selector)
# Determine the address to look up xrefs for
if parsed.is_address:
# Address selector: use parsed address directly
try:
addr = _parse_address(parsed.value)
except InvalidArgsError as err:
raise InvalidArgsError(
f"Invalid entity selector for xrefs: {raw_selector!r}. "
"Use a function selector (e.g., 'function:main') or "
"a hex address (e.g., '0x401000')."
) from err
else:
# Function selector: resolve the function, then use its address
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for xrefs: {e}",
original_error=str(e),
) from e
selected_function = resolve_function(parsed, all_functions, require_unique=True)
if selected_function.address is None:
raise EntityNotFoundError("function", raw_selector)
addr = selected_function.address
# Retrieve cross-references
try:
references = adapter.get_xrefs(binary_entity, addr)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve cross-references: {e}",
original_error=str(e),
) from e
# Convert to dicts
ref_dicts = []
for ref in references:
d = _entity_to_dict(ref)
# Rename from_addr -> from, to_addr -> to for the JSON contract
if "from_addr" in d:
d["from"] = d.pop("from_addr")
if "to_addr" in d:
d["to"] = d.pop("to_addr")
ref_dicts.append(d)
diagnostics: list[dict[str, Any]] = []
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Cross-reference results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
data: dict[str, Any] = {
"references": ref_dicts,
"total": len(ref_dicts),
"selector": raw_selector,
"max_references": 1000,
}
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: callers
# ---------------------------------------------------------------------------
def execute_callers(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'callers' command.
VAL-FOCUS-018: Returns array of function objects (name/symbol, address)
calling the target; depth/node limits disclosed.
VAL-FOCUS-019: Leaf function returns exit 0 with empty array.
"""
project_name = args.project
raw_selector: str | None = getattr(args, "selector", None)
if not raw_selector:
raise InvalidArgsError(
"The 'callers' command requires a function selector. "
"Provide a function selector (e.g., 'function:main') or "
"a shorthand function name (e.g., 'main')."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Resolve the function
parsed = parse_selector(raw_selector)
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for callers: {e}",
original_error=str(e),
) from e
selected_function = resolve_function(parsed, all_functions, require_unique=True)
# Retrieve callers
try:
call_edges = adapter.get_callers(binary_entity, selected_function)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve callers: {e}",
original_error=str(e),
) from e
# Convert CallEdge list to function objects
caller_dicts = []
for edge in call_edges:
caller = {
"name": edge.from_name,
"address": edge.from_address.to_dict() if edge.from_address else None,
"kind": edge.kind,
}
caller_dicts.append(caller)
diagnostics: list[dict[str, Any]] = []
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Caller results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
data: dict[str, Any] = {
"callers": caller_dicts,
"total": len(caller_dicts),
"target": {
"name": selected_function.name,
"address": selected_function.address.to_dict() if selected_function.address else None,
},
"max_depth": 1,
"max_nodes": 1000,
}
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: callees
# ---------------------------------------------------------------------------
def execute_callees(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'callees' command.
VAL-FOCUS-020: Returns array of function objects called by target;
depth/node limits disclosed.
VAL-FOCUS-021: Terminal function returns exit 0 with empty array.
"""
project_name = args.project
raw_selector: str | None = getattr(args, "selector", None)
if not raw_selector:
raise InvalidArgsError(
"The 'callees' command requires a function selector. "
"Provide a function selector (e.g., 'function:main') or "
"a shorthand function name (e.g., 'main')."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Resolve the function
parsed = parse_selector(raw_selector)
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for callees: {e}",
original_error=str(e),
) from e
selected_function = resolve_function(parsed, all_functions, require_unique=True)
# Retrieve callees
try:
call_edges = adapter.get_callees(binary_entity, selected_function)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve callees: {e}",
original_error=str(e),
) from e
# Convert CallEdge list to function objects
callee_dicts = []
for edge in call_edges:
callee = {
"name": edge.to_name,
"address": edge.to_address.to_dict() if edge.to_address else None,
"kind": edge.kind,
}
callee_dicts.append(callee)
diagnostics: list[dict[str, Any]] = []
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Callee results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
data: dict[str, Any] = {
"callees": callee_dicts,
"total": len(callee_dicts),
"target": {
"name": selected_function.name,
"address": selected_function.address.to_dict() if selected_function.address else None,
},
"max_depth": 1,
"max_nodes": 1000,
}
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: callgraph
# ---------------------------------------------------------------------------
def execute_callgraph(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'callgraph' command.
VAL-FOCUS-022: Builds bounded graph rooted at target function with nodes
and edges; root is target; depth disclosed.
VAL-FOCUS-023: --depth 2 limits graph to exactly 2 levels; applied depth disclosed.
VAL-FOCUS-024: --depth 0 or --depth -1 fails with exit code 2,
'depth must be a positive integer'.
VAL-FOCUS-031: Breadth limits enforced with truncation diagnostic and
bounded node count.
"""
project_name = args.project
raw_selector: str | None = getattr(args, "selector", None)
depth: int = getattr(args, "depth", DEFAULT_MAX_DEPTH)
# VAL-FOCUS-024: Validate depth is a positive integer
if depth <= 0:
raise InvalidArgsError(
f"Depth must be a positive integer, got {depth}. "
"Provide a positive depth value (e.g., --depth 2) or use the default (3)."
)
if depth > MAX_DEPTH_LIMIT:
raise InvalidArgsError(
f"Depth {depth} exceeds maximum allowed depth of {MAX_DEPTH_LIMIT}. "
f"Use a depth value between 1 and {MAX_DEPTH_LIMIT}."
)
if not raw_selector:
raise InvalidArgsError(
"The 'callgraph' command requires a function selector. "
"Provide a function selector (e.g., 'function:main') or "
"a shorthand function name (e.g., 'main')."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Resolve the function
parsed = parse_selector(raw_selector)
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for callgraph: {e}",
original_error=str(e),
) from e
selected_function = resolve_function(parsed, all_functions, require_unique=True)
# Build the call graph
try:
callgraph = adapter.get_callgraph(binary_entity, selected_function, max_depth=depth)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to build call graph: {e}",
original_error=str(e),
) from e
# Apply breadth limits (VAL-FOCUS-031)
max_nodes = getattr(adapter, "_callgraph_max_breadth", DEFAULT_MAX_CALLGRAPH_NODES)
nodes = list(callgraph.nodes)
edges = list(callgraph.edges)
truncated = callgraph.truncated
# Apply node count bounding if there are too many nodes
if len(nodes) > max_nodes:
truncated = True
nodes = nodes[:max_nodes]
# Remove edges that reference truncated nodes
valid_addrs = set()
for n in nodes:
addr = n.get("address", {})
offset = addr.get("offset", "")
valid_addrs.add(offset)
edges = [
e
for e in edges
if e.get("from", {}).get("offset", "") in valid_addrs
and e.get("to", {}).get("offset", "") in valid_addrs
]
total_nodes = len(nodes)
total_edges = len(edges)
graph_data: dict[str, Any] = {
"root_address": callgraph.root_address.to_dict() if callgraph.root_address else None,
"nodes": nodes,
"edges": edges,
"max_depth": depth,
"total_nodes": total_nodes,
"total_edges": total_edges,
"truncated": truncated,
}
diagnostics: list[dict[str, Any]] = []
if truncated:
diagnostics.append(
{
"severity": "WARNING",
"message": (
f"Call graph truncated: total nodes bounded to {max_nodes}. "
f"The graph contains {total_nodes} nodes and {total_edges} edges "
f"after applying breadth limits. Some call targets beyond the "
f"limit may have been omitted."
),
"category": "truncation",
}
)
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Call graph results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
data: dict[str, Any] = {
"graph": graph_data,
"target": {
"name": selected_function.name,
"address": selected_function.address.to_dict() if selected_function.address else None,
},
"applied_depth": depth,
}
return {
"success": True,
"partial": truncated,
"warnings": [],
"diagnostics": diagnostics,
"data": data,
}
binary-analysis/scripts/binary_analysis/cli/reporting.py
+408
View File
@@ -0,0 +1,408 @@
"""Reporting CLI commands — export-report and audit.
Implements the reporting commands for milestone: security-ship.
export-report: Produces Markdown (authoritative) and JSON (authoritative)
reports with methodology and provenance sections. HTML and PDF are optional
renderings only. Supports triage, focused (requires --selector), and project
report types.
audit: Lists append-only events from events.jsonl ordered by timestamp.
Events are atomic single-line JSON objects with command, args, result
(AuditResult enum), and duration_ms.
"""
from __future__ import annotations
import argparse
import time
from typing import Any
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.cli.helpers import make_diagnostic, make_warning
from binary_analysis.domain.enums import AuditResult, ExitCode, ReportType
from binary_analysis.domain.errors import (
BinaryNotFoundError,
ProjectNotFoundError,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.path_security import (
validate_output_path,
)
from binary_analysis.projects.workspace import get_project_path, workspace_exists
from binary_analysis.reporting.audit import read_audit_events, write_audit_event
from binary_analysis.reporting.generator import (
build_methodology,
build_provenance,
collect_focused_data,
collect_project_data,
collect_triage_data,
write_report,
)
# ---------------------------------------------------------------------------
# Argument registration
# ---------------------------------------------------------------------------
def add_subparser(sub: argparse._SubParsersAction[argparse.ArgumentParser]) -> None:
"""Register export-report and audit subcommands."""
report_parser = sub.add_parser(
"export-report",
help="Export analysis report in Markdown, JSON, HTML, or PDF",
description=(
"Export an analysis report from a project. Markdown and JSON "
"are authoritative formats with methodology and provenance "
"sections. HTML and PDF are optional renderings — if a rendering "
"dependency is unavailable, the command exits 0 with a warning "
"and the canonical Markdown path."
),
)
report_parser.add_argument(
"--project",
required=True,
help="Project name or UUID containing the analysis.",
)
report_parser.add_argument(
"--type",
choices=["triage", "focused", "project"],
default="triage",
help="Report type: triage, focused, or project (default: triage).",
)
report_parser.add_argument(
"--format",
choices=["markdown", "json", "html", "pdf"],
default="markdown",
help="Output format: markdown, json, html, or pdf (default: markdown).",
)
report_parser.add_argument(
"--selector",
default=None,
help="Entity selector for focused reports (e.g., 'function:main'). "
"Required when --type focused.",
)
report_parser.add_argument(
"--profile",
default="standard",
help="Analysis profile to reference in methodology (default: standard).",
)
report_parser.add_argument(
"--output",
default=None,
help="Custom output path (must be within the project directory).",
)
audit_parser = sub.add_parser(
"audit",
help="List append-only audit events from events.jsonl",
description=(
"List all audit events from project/audit/events.jsonl ordered "
"by timestamp. Events are atomic single-line JSON objects with "
"command, args, result (AuditResult enum), and duration_ms. "
"The audit file is append-only — events cannot be modified or "
"deleted after being written."
),
)
audit_parser.add_argument(
"--project",
required=True,
help="Project name or UUID to retrieve audit events for.",
)
# ---------------------------------------------------------------------------
# Export-report command
# ---------------------------------------------------------------------------
def execute_export_report(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the export-report command.
Produces a report file in the project's reports/ directory. Markdown
and JSON are authoritative formats. HTML and PDF are optional renderings.
Returns:
A result dict with success, partial, warnings, diagnostics, data,
and optional _exit_code for non-success paths.
"""
t_start = time.perf_counter()
project_name = args.project
report_type_str = getattr(args, "type", "triage")
output_format = getattr(args, "format", "markdown")
selector = getattr(args, "selector", None)
profile_name = getattr(args, "profile", "standard")
# Validate report type
try:
report_type = ReportType(report_type_str.upper())
except ValueError:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
make_diagnostic(
f"Invalid report type: {report_type_str}. "
"Must be one of: triage, focused, project.",
severity="ERROR",
category="invalid-args",
),
],
"data": None,
"_exit_code": ExitCode.INVALID_ARGS,
}
# Focused requires --selector
if report_type == ReportType.FOCUSED and not selector:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
make_diagnostic(
"Focused report requires --selector (e.g., 'function:main').",
severity="ERROR",
category="invalid-args",
),
],
"data": None,
"_exit_code": ExitCode.INVALID_ARGS,
}
# Validate output format
valid_formats = {"markdown", "md", "json", "html", "pdf"}
if output_format not in valid_formats:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
make_diagnostic(
f"Invalid output format: {output_format}. "
"Must be one of: markdown, json, html, pdf.",
severity="ERROR",
category="invalid-args",
),
],
"data": None,
"_exit_code": ExitCode.INVALID_ARGS,
}
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Validate custom output path (VAL-SAFE-014)
custom_output = getattr(args, "output", None)
if custom_output:
try:
validated_output = validate_output_path(custom_output, project_path)
except ValueError as e:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
make_diagnostic(
f"Invalid output path: {e}",
severity="ERROR",
category="path_security",
),
],
"data": None,
"_exit_code": ExitCode.GENERIC_ERROR,
}
_custom_output: str | None = validated_output
else:
_custom_output = None
# Load project manifest
manifest = load_manifest(project_path)
# Check for binary
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError()
binary_id = current_binary.get("id", "unknown")
binary_sha256 = current_binary.get("sha256", "unknown")
binary_format = current_binary.get("format", "unknown")
binary_arch = current_binary.get("architecture", "unknown")
_prov_project_id = manifest.get("id")
_prov_binary_id = binary_id
_prov_binary_sha256 = binary_sha256
_prov_project_state = manifest.get("state")
# Build methodology
methodology = build_methodology(
profile=profile_name,
rules_version="1.0.0",
backend="FakeAdapter",
adapter="fake",
parameters={},
)
# Build provenance (with new analysis_id each time)
provenance = build_provenance(
project_id=_prov_project_id,
binary_id=_prov_binary_id,
binary_sha256=_prov_binary_sha256,
)
# Create adapter and load binary
adapter = FakeAdapter()
adapter.initialize()
if binary_format == "ELF":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.elf_fixture())
elif binary_format == "Mach-O":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.macho_fixture())
else:
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.pe_fixture())
from uuid import UUID
from binary_analysis.domain.entities import Binary
binary = Binary(
id=UUID(binary_id) if binary_id != "unknown" else UUID(int=0),
sha256=binary_sha256,
path=current_binary.get("path", ""),
format=binary_format,
architecture=binary_arch,
size_bytes=current_binary.get("size_bytes", 0),
analysis_profile=profile_name,
)
adapter.register_binary(binary, fixture_name)
# Collect report data based on type
report_data: dict[str, Any] = {}
if report_type == ReportType.TRIAGE:
report_data = collect_triage_data(manifest, adapter, binary, profile_name)
elif report_type == ReportType.FOCUSED:
report_data = collect_focused_data(adapter, binary, selector or "unknown")
elif report_type == ReportType.PROJECT:
report_data = collect_project_data(manifest, adapter, binary)
# Write report
try:
output_path, write_warnings_list = write_report(
project_path,
report_type,
output_format,
report_data,
methodology,
provenance,
)
except ValueError as e:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
make_diagnostic(
str(e),
severity="ERROR",
category="report-generation",
),
],
"data": None,
"_exit_code": ExitCode.GENERIC_ERROR,
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# Build warnings from write_report and rendering fallback
all_warnings: list[dict[str, Any]] = []
for w in write_warnings_list:
all_warnings.append(make_warning(w, category="report-rendering"))
# Write audit event for report generation
duration_ms = int((time.perf_counter() - t_start) * 1000)
write_audit_event(
project_path,
command="export-report",
result=AuditResult.SUCCESS,
duration_ms=duration_ms,
args={
"type": report_type.value,
"format": output_format,
"selector": selector,
"profile": profile_name,
},
project_id=_prov_project_id,
binary_id=_prov_binary_id,
details={"output_path": output_path},
)
return {
"success": True,
"partial": False,
"warnings": all_warnings,
"diagnostics": [],
"data": {
"report_path": output_path,
"report_type": report_type.value,
"format": output_format,
"analysis_id": provenance.get("analysis_id"),
},
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# ---------------------------------------------------------------------------
# Audit command
# ---------------------------------------------------------------------------
def execute_audit(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the audit command.
Lists all audit events from events.jsonl ordered by timestamp. Events
are atomic single-line JSON objects.
Returns:
A result dict with success, partial, warnings, diagnostics, data.
"""
project_name = args.project
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Load project manifest
manifest = load_manifest(project_path)
_prov_project_id = manifest.get("id")
_prov_project_state = manifest.get("state")
# Read audit events
events = read_audit_events(project_path)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"events": events,
"total": len(events),
},
"_provenance_project_state": _prov_project_state,
"_provenance_project_id": _prov_project_id,
}
binary-analysis/scripts/binary_analysis/cli/search.py
+590
View File
@@ -0,0 +1,590 @@
"""Search and trace commands for the binary analysis CLI.
Search returns paginated results with opaque cursor (not incrementing offset).
Trace finds bounded paths between --from and --to entities within disclosed
path count and depth limits.
Validation assertions covered:
- VAL-FOCUS-025, 026, 027: Search
- VAL-FOCUS-028, 029, 030: Trace
"""
from __future__ import annotations
import argparse
import base64
import json
from typing import Any
from uuid import UUID, uuid4
from binary_analysis.cli.helpers import (
PAGE_SIZE_DEFAULT,
PAGE_SIZE_MAX,
build_paginated_response,
clamp_page_size,
make_diagnostic,
make_warning,
)
from binary_analysis.domain.entities import Address
from binary_analysis.domain.errors import (
BackendFailureError,
BinaryAnalysisError,
BinaryNotFoundError,
EntityNotFoundError,
InvalidArgsError,
ProjectNotFoundError,
)
from binary_analysis.domain.selectors import (
parse_selector,
resolve_function,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.workspace import (
get_project_path,
list_workspaces,
workspace_exists,
)
# ---------------------------------------------------------------------------
# Search limits
# ---------------------------------------------------------------------------
DEFAULT_SEARCH_PAGE_SIZE = PAGE_SIZE_DEFAULT
MAX_SEARCH_PAGE_SIZE = PAGE_SIZE_MAX
MAX_SEARCH_RESULTS = 10000
# ---------------------------------------------------------------------------
# Trace limits
# ---------------------------------------------------------------------------
DEFAULT_MAX_PATHS = 10
DEFAULT_MAX_TRACE_DEPTH = 10
MAX_PATHS_LIMIT = 100
MAX_TRACE_DEPTH_LIMIT = 20
# ---------------------------------------------------------------------------
# Project path resolution
# ---------------------------------------------------------------------------
def _resolve_project_path(project_name: str) -> str:
"""Resolve a project name or UUID to its workspace path."""
if workspace_exists(project_name):
return str(get_project_path(project_name))
for ws_name in list_workspaces():
ws_path = str(get_project_path(ws_name))
try:
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name:
return ws_path
except Exception:
continue
raise ProjectNotFoundError(project_name)
# ---------------------------------------------------------------------------
# Shared adapter/binary resolution
# ---------------------------------------------------------------------------
def _get_adapter_and_binary(
project_path: str, manifest: dict[str, Any]
) -> tuple[Any, Any, dict[str, Any]]:
"""Resolve the adapter, binary entity, and project info.
Returns:
Tuple of (adapter, Binary entity, project_info dict with id/name/state).
"""
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.domain.entities import Binary as BinaryEntity
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError(
"No binary has been imported into this project. "
"Use 'binary import' to add a binary before querying."
)
adapter = FakeAdapter()
adapter.set_fixture("pe-default", FakeAdapter.pe_fixture())
adapter.set_fixture("elf-default", FakeAdapter.elf_fixture())
adapter.set_fixture("macho-default", FakeAdapter.macho_fixture())
binary_id = current_binary.get("id", str(uuid4()))
binary_entity = BinaryEntity(
id=UUID(binary_id),
sha256=current_binary.get("sha256", ""),
path=current_binary.get("path", ""),
format=current_binary.get("format", ""),
size_bytes=current_binary.get("size_bytes", 0),
architecture=current_binary.get("architecture"),
)
binary_fmt = current_binary.get("format", "").lower()
fixture_name = "pe-default"
if "elf" in binary_fmt:
fixture_name = "elf-default"
elif "mach" in binary_fmt:
fixture_name = "macho-default"
adapter.register_binary(binary_entity, fixture_name)
project_info = {
"id": manifest.get("id", ""),
"name": manifest.get("name", ""),
"state": manifest.get("state", ""),
}
return adapter, binary_entity, project_info
# ---------------------------------------------------------------------------
# Address parsing
# ---------------------------------------------------------------------------
def _parse_address(addr_str: str) -> Address:
"""Parse a hex address string like '0x401000' into an Address object.
Raises InvalidArgsError if the format is invalid.
"""
if not addr_str.startswith("0x"):
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Address must start with '0x' "
"followed by hexadecimal digits (e.g., '0x401000')."
)
try:
int(addr_str, 16)
except ValueError:
raise InvalidArgsError(
f"Invalid address format: {addr_str!r}. Expected hexadecimal address."
) from None
return Address(
space="ram",
offset=addr_str,
display=addr_str,
)
# ---------------------------------------------------------------------------
# Cursor encoding
# ---------------------------------------------------------------------------
def _encode_cursor(cursor_data: dict[str, Any]) -> str:
"""Encode pagination cursor data to an opaque string token."""
payload = json.dumps(cursor_data, sort_keys=True).encode("utf-8")
return base64.urlsafe_b64encode(payload).decode("ascii")
def _decode_cursor(token: str) -> dict[str, Any]:
"""Decode an opaque cursor token back to cursor data.
Raises InvalidArgsError if the token is malformed.
"""
try:
payload = base64.urlsafe_b64decode(token)
result: Any = json.loads(payload)
if not isinstance(result, dict):
raise InvalidArgsError(
f"Invalid cursor token: {token!r}. Cursor payload must be a JSON object."
)
return result
except Exception:
raise InvalidArgsError(
f"Invalid cursor token: {token!r}. Cursors must be obtained from "
"a previous search response's next_page_token field."
) from None
# ---------------------------------------------------------------------------
# Subparser registration
# ---------------------------------------------------------------------------
def add_subparser(subparsers: Any) -> None:
"""Register search and trace subcommands."""
# -- Search --
search_parser = subparsers.add_parser(
"search",
help="Search for entities (functions, strings, symbols) by name or pattern.",
)
search_parser.add_argument("--project", required=True, help="Project name or UUID.")
search_parser.add_argument(
"query",
nargs="?",
default=None,
help="Search query string (case-insensitive substring match).",
)
search_parser.add_argument(
"--type",
dest="search_type",
default="function",
choices=["function", "string", "symbol", "import", "export", "all"],
help="Type of entity to search (default: function).",
)
search_parser.add_argument(
"--page-token",
dest="cursor",
default=None,
help="Opaque cursor token for pagination (from next_page_token in prior response).",
)
# -- Trace --
trace_parser = subparsers.add_parser(
"trace",
help="Find call paths between two entities.",
)
trace_parser.add_argument("--project", required=True, help="Project name or UUID.")
trace_parser.add_argument(
"--from",
dest="from_selector",
required=True,
help="Source entity: function:<name>, shorthand name, or hex address.",
)
trace_parser.add_argument(
"--to",
dest="to_selector",
required=True,
help="Target entity: function:<name>, shorthand name, or hex address.",
)
trace_parser.add_argument(
"--max-paths",
type=int,
default=DEFAULT_MAX_PATHS,
help=f"Maximum number of paths to return (default: {DEFAULT_MAX_PATHS}, max: {MAX_PATHS_LIMIT}).",
)
trace_parser.add_argument(
"--max-depth",
type=int,
default=DEFAULT_MAX_TRACE_DEPTH,
help=f"Maximum path depth to explore (default: {DEFAULT_MAX_TRACE_DEPTH}, max: {MAX_TRACE_DEPTH_LIMIT}).",
)
# ---------------------------------------------------------------------------
# Command: search
# ---------------------------------------------------------------------------
def execute_search(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'search' command.
VAL-FOCUS-025: Returns paginated results with opaque next_page_token;
default page size enforced.
VAL-FOCUS-026: Search pagination with cursor produces next page
without duplicating first page results.
VAL-FOCUS-027: Search with no matching results returns exit 0,
empty results array, null/missing next_page_token.
"""
project_name = args.project
query: str | None = args.query
search_type: str = getattr(args, "search_type", "function")
cursor_token: str | None = getattr(args, "cursor", None)
raw_limit: int | None = getattr(args, "limit", None)
if query is None:
raise InvalidArgsError(
"The 'search' command requires a query string. "
"Provide a search term to match against entities (e.g., 'binary search --project proj \"main\"')."
)
page_size, clamp_warning = clamp_page_size(raw_limit)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Decode cursor if provided
cursor_offset: int = 0
cursor_query: str | None = None
cursor_search_type: str | None = None
if cursor_token:
cursor_data = _decode_cursor(cursor_token)
cursor_offset = cursor_data.get("offset", 0)
cursor_query = cursor_data.get("query")
cursor_search_type = cursor_data.get("search_type")
# Validate cursor scope
if cursor_query != query or cursor_search_type != search_type:
raise InvalidArgsError(
"Cursor token is scoped to a different query or search type. "
"Obtain a fresh cursor for this query/type combination."
)
# Perform search
try:
results = adapter.search(binary_entity, query, search_type=search_type)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to perform search: {e}",
original_error=str(e),
) from e
# Bound total results
total = min(len(results), MAX_SEARCH_RESULTS)
# Apply pagination
sliced = results[cursor_offset : cursor_offset + page_size]
# Build paginated response
# Include query and search_type in the cursor for scope validation
def _search_cursor_encoder(data: dict[str, Any]) -> str:
data["query"] = query
data["search_type"] = search_type
return _encode_cursor(data)
paginated = build_paginated_response(
sliced,
total,
cursor_offset,
page_size,
cursor_encoder=_search_cursor_encoder,
)
# Build warnings/diagnostics
warnings: list[dict[str, Any]] = []
diagnostics: list[dict[str, Any]] = []
if clamp_warning:
warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
if len(results) > MAX_SEARCH_RESULTS:
warnings.append(
make_warning(
f"Search results truncated: {len(results)} results found, "
f"limited to {MAX_SEARCH_RESULTS}.",
category="truncation",
)
)
if not results:
diagnostics.append(
make_diagnostic(
f"No entities matched query '{query}' (type: {search_type}).",
severity="INFO",
category="search",
recoverable=True,
)
)
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
make_diagnostic(
"Project has not been fully analyzed. Search results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis.",
severity="INFO",
category="analysis_state",
recoverable=True,
)
)
data: dict[str, Any] = {
"results": paginated["items"],
"total": paginated["total"],
"page_size": paginated["page_size"],
"has_more": paginated["has_more"],
"next_page_token": paginated.get("next_page_token"),
"query": query,
"search_type": search_type,
"applied_filters": [
{"filter": "search_type", "value": search_type},
],
}
return {
"success": True,
"partial": False,
"warnings": warnings,
"diagnostics": diagnostics,
"data": data,
}
# ---------------------------------------------------------------------------
# Command: trace
# ---------------------------------------------------------------------------
def execute_trace(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'trace' command.
VAL-FOCUS-028: Finds bounded paths between --from and --to entities;
disclosed max path count and depth.
VAL-FOCUS-029: Truncates paths at disclosed limits with partial=true
and diagnostic.
VAL-FOCUS-030: Trace with no path between entities returns exit 0
with empty paths array and informational diagnostic.
"""
project_name = args.project
from_selector: str = args.from_selector
to_selector: str = args.to_selector
max_paths: int = getattr(args, "max_paths", DEFAULT_MAX_PATHS)
max_depth: int = getattr(args, "max_depth", DEFAULT_MAX_TRACE_DEPTH)
# Validate limits
if max_paths <= 0:
raise InvalidArgsError(f"--max-paths must be a positive integer, got {max_paths}.")
if max_paths > MAX_PATHS_LIMIT:
raise InvalidArgsError(
f"--max-paths {max_paths} exceeds maximum allowed value of {MAX_PATHS_LIMIT}."
)
if max_depth <= 0:
raise InvalidArgsError(f"--max-depth must be a positive integer, got {max_depth}.")
if max_depth > MAX_TRACE_DEPTH_LIMIT:
raise InvalidArgsError(
f"--max-depth {max_depth} exceeds maximum allowed value of {MAX_TRACE_DEPTH_LIMIT}."
)
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
adapter, binary_entity, _project_info = _get_adapter_and_binary(project_path, manifest)
# Resolve --from entity
from_addr = _resolve_trace_entity(from_selector, "from", adapter, binary_entity)
# Resolve --to entity
to_addr = _resolve_trace_entity(to_selector, "to", adapter, binary_entity)
# Perform trace
try:
paths, truncated = adapter.trace(
binary_entity,
from_address=from_addr,
to_address=to_addr,
max_paths=max_paths,
max_depth=max_depth,
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to perform trace: {e}",
original_error=str(e),
) from e
# Build diagnostics
warnings: list[dict[str, Any]] = []
diagnostics: list[dict[str, Any]] = []
partial = truncated
if truncated:
diagnostics.append(
make_diagnostic(
f"Trace truncated: paths or depth exceeded disclosed limits "
f"(max_paths={max_paths}, max_depth={max_depth}). "
f"Results may be incomplete.",
severity="WARNING",
category="truncation",
recoverable=True,
)
)
if not paths:
diagnostics.append(
make_diagnostic(
f"No path found from '{from_selector}' to '{to_selector}'. "
f"The entities may not be connected via call paths within "
f"the disclosed depth limit of {max_depth}.",
severity="INFO",
category="trace",
recoverable=True,
)
)
manifest_state = manifest.get("state", "")
if manifest_state and manifest_state != "READY":
diagnostics.append(
make_diagnostic(
"Project has not been fully analyzed. Trace results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis.",
severity="INFO",
category="analysis_state",
recoverable=True,
)
)
data: dict[str, Any] = {
"paths": paths,
"total_paths": len(paths),
"from": {
"selector": from_selector,
"address": from_addr.to_dict(),
},
"to": {
"selector": to_selector,
"address": to_addr.to_dict(),
},
"max_paths": max_paths,
"max_depth": max_depth,
"truncated": truncated,
}
return {
"success": True,
"partial": partial,
"warnings": warnings,
"diagnostics": diagnostics,
"data": data,
}
def _resolve_trace_entity(
selector: str,
label: str,
adapter: Any,
binary_entity: Any,
) -> Address:
"""Resolve a trace entity selector to an Address.
Accepts function:<name>, shorthand name, or hex address.
"""
# Try hex address first
if selector.startswith("0x"):
try:
return _parse_address(selector)
except InvalidArgsError:
pass
# Try function selector
parsed = parse_selector(selector)
if parsed.is_address:
try:
return _parse_address(parsed.value)
except InvalidArgsError:
pass
# Resolve as function name
try:
all_functions = adapter.get_functions(
binary_entity, exclude_external=False, exclude_thunks=False
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve functions for trace {label} entity: {e}",
original_error=str(e),
) from e
selected_function = resolve_function(parsed, all_functions, require_unique=True)
if selected_function.address is None:
raise EntityNotFoundError(
f"Trace {label} entity: function",
selector,
)
return selected_function.address
binary-analysis/scripts/binary_analysis/cli/security.py
+918
View File
@@ -0,0 +1,918 @@
"""Security analysis CLI commands — triage, diagnostics, suspicious-apis, capability-map.
Implements the security commands for milestone: security-ship.
Triage: Runs the rule engine against backend data to produce structured
observations (deterministic facts), heuristics (rule-derived interpretations
with confidence), and unknowns (unresolved questions).
Diagnostics: Retrieves all persistent diagnostics accumulated across
the project lifecycle from previous commands (analyze, triage, etc.).
Suspicious-apis: Evaluates only priority-tagged rules against imported APIs
to detect potentially suspicious API usage. Returns matches with api_name,
risk_score (numeric), confidence, and rule_id. Includes rules_applied list.
Capability-map: Returns functional area suggestions (name, confidence,
evidence[]) where each evidence item references a concrete source (import
API, string, section pattern). Capability entries are labeled as rule-derived
indicators, not verified functional proof.
"""
from __future__ import annotations
import argparse
import base64
import json
from typing import Any
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.cli.helpers import (
clamp_page_size,
make_diagnostic,
make_warning,
)
from binary_analysis.domain.enums import ExitCode
from binary_analysis.domain.errors import (
AnalysisFailedError,
BackendFailureError,
BinaryNotFoundError,
OperationTimeoutError,
ProjectNotFoundError,
)
from binary_analysis.projects.diagnostics import (
get_diagnostics_summary,
load_diagnostics,
persist_diagnostics,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.workspace import get_project_path, workspace_exists
# ---------------------------------------------------------------------------
# Argument registration
# ---------------------------------------------------------------------------
def add_subparser(sub: argparse._SubParsersAction[argparse.ArgumentParser]) -> None:
"""Register triage, diagnostics, suspicious-apis, and capability-map subcommands."""
triage_parser = sub.add_parser(
"triage",
help="Run triage analysis: observations, heuristics, and unknowns",
description=(
"Run automated triage analysis on the imported binary. "
"Produces structured output in three categories: "
"observations (deterministic facts), heuristics (rule-derived "
"interpretations with confidence scores), and unknowns "
"(unresolved questions). No free-form narrative or agent conclusions."
),
)
triage_parser.add_argument(
"--project",
required=True,
help="Project name or UUID containing the binary to triage.",
)
triage_parser.add_argument(
"--profile",
default="standard",
help="Analysis profile to use (default: standard).",
)
triage_parser.add_argument(
"--limit",
type=int,
default=argparse.SUPPRESS,
help="Maximum results per category (default: 100, max: 1000).",
)
diag_parser = sub.add_parser(
"diagnostics",
help="List all persistent diagnostics from project lifecycle",
description=(
"List all accumulated diagnostics from the project lifecycle: "
"warnings, limitations, and partial failures from analyze, "
"triage, and other commands. Each entry includes severity, "
"category, message, and recoverable flag."
),
)
diag_parser.add_argument(
"--project",
required=True,
help="Project name or UUID to retrieve diagnostics for.",
)
suspicious_parser = sub.add_parser(
"suspicious-apis",
help="Detect suspicious API usage with risk scores and confidence",
description=(
"Evaluate imported APIs against priority-tagged suspicious API rules. "
"Returns matches with api_name, risk_score (numeric), confidence "
"(Confidence enum), and rule_id identifying the priority rule. "
"Only priority-tagged rules are evaluated; the rules_applied list "
"documents which rules were checked. Results are bounded by the "
"result count limit (default 100, max 1000)."
),
)
suspicious_parser.add_argument(
"--project",
required=True,
help="Project name or UUID containing the binary to analyze.",
)
suspicious_parser.add_argument(
"--limit",
type=int,
default=argparse.SUPPRESS,
help="Maximum number of matches to return (default: 100, max: 1000).",
)
capability_parser = sub.add_parser(
"capability-map",
help="Suggest functional capabilities from rule-derived indicators",
description=(
"Return functional area suggestions (name, confidence, evidence[]) "
"derived from imported APIs, strings, and section patterns. Each "
"evidence item references a concrete source (e.g., import: 'CreateFileW', "
"string: '/etc/passwd'). Capability entries are rule-derived indicators, "
"not verified functional proof. Confidence values are used rather than "
"unconditional certainty/verified fields. Results are bounded by the "
"result count limit (default 100, max 1000)."
),
)
capability_parser.add_argument(
"--project",
required=True,
help="Project name or UUID containing the binary to analyze.",
)
capability_parser.add_argument(
"--limit",
type=int,
default=argparse.SUPPRESS,
help="Maximum number of capabilities to return (default: 100, max: 1000).",
)
# ---------------------------------------------------------------------------
# Triage command
# ---------------------------------------------------------------------------
def execute_triage(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the triage command.
Returns:
A result dict with success, partial, warnings, diagnostics, data, and
optional _exit_code for non-success paths.
"""
project_name = args.project
profile_name = getattr(args, "profile", "standard")
limit, clamp_warning = clamp_page_size(getattr(args, "limit", 100))
# Initialize warnings list; clamp warning is added first if present
all_warnings: list[dict[str, Any]] = []
if clamp_warning:
all_warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Load project manifest
manifest = load_manifest(project_path)
# Check for binary
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError()
binary_id = current_binary.get("id", "unknown")
binary_sha256 = current_binary.get("sha256", "unknown")
binary_format = current_binary.get("format", "unknown")
binary_arch = current_binary.get("architecture", "unknown")
# Provenance context fields for the envelope
_prov_project_id = manifest.get("id")
_prov_binary_id = binary_id
_prov_binary_sha256 = binary_sha256
_prov_project_state = manifest.get("state")
# Create adapter and run triage
adapter = FakeAdapter()
adapter.initialize()
# Set up the adapter with appropriate fixture
fixture_name = "test-bin"
if binary_format == "ELF":
adapter.set_fixture(fixture_name, FakeAdapter.elf_fixture())
elif binary_format == "Mach-O":
adapter.set_fixture(fixture_name, FakeAdapter.macho_fixture())
else:
adapter.set_fixture(fixture_name, FakeAdapter.pe_fixture())
from uuid import UUID
from binary_analysis.domain.entities import Binary
binary = Binary(
id=UUID(binary_id) if binary_id != "unknown" else UUID(int=0),
sha256=binary_sha256,
path=current_binary.get("path", ""),
format=binary_format,
architecture=binary_arch,
size_bytes=current_binary.get("size_bytes", 0),
analysis_profile=profile_name,
)
# Register binary with adapter so backend queries return real fixture data
adapter.register_binary(binary, fixture_name)
# Run the triage
try:
triage_result = adapter.run_triage(binary)
except OperationTimeoutError:
# Return partial results
diags = [
make_diagnostic(
"Triage operation timed out; results may be incomplete",
severity="WARNING",
category="timeout",
recoverable=True,
)
]
# Persist diagnostics
persist_diagnostics(project_path, diags, command="triage")
return {
"success": False,
"partial": True,
"warnings": all_warnings,
"diagnostics": diags,
"data": {
"observations": [],
"heuristics": [],
"unknowns": [],
},
"_exit_code": ExitCode.OPERATION_TIMEOUT,
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
except BackendFailureError as e:
# Treat backend failure as partial - return engine diagnostics
diags = [
make_diagnostic(
str(e),
severity="ERROR",
category="backend-failure",
recoverable=False,
)
]
persist_diagnostics(project_path, diags, command="triage")
return {
"success": False,
"partial": True,
"warnings": all_warnings,
"diagnostics": diags,
"data": {
"observations": [],
"heuristics": [],
"unknowns": [],
},
"_exit_code": ExitCode.BACKEND_FAILURE,
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
except AnalysisFailedError:
diags = [
make_diagnostic(
"Analysis has not been completed; triage results are limited",
severity="WARNING",
category="analysis-state",
recoverable=True,
)
]
persist_diagnostics(project_path, diags, command="triage")
return {
"success": False,
"partial": True,
"warnings": all_warnings,
"diagnostics": diags,
"data": {
"observations": [],
"heuristics": [],
"unknowns": [],
},
"_exit_code": ExitCode.ANALYSIS_FAILED,
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
except Exception as e:
diags = [
make_diagnostic(
f"Unexpected error during triage: {e}",
severity="ERROR",
category="triage",
recoverable=False,
)
]
persist_diagnostics(project_path, diags, command="triage")
return {
"success": False,
"partial": True,
"warnings": all_warnings,
"diagnostics": diags,
"data": {
"observations": [],
"heuristics": [],
"unknowns": [],
},
"_exit_code": ExitCode.GENERIC_ERROR,
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# Collect all diagnostics from triage
all_diagnostics: list[dict[str, Any]] = []
for ed in triage_result.engine_diagnostics:
all_diagnostics.append(ed)
if triage_result.partial:
all_warnings.append(
{
"severity": "WARNING",
"message": "Triage completed with partial results; "
"some analyzers encountered errors",
"category": "triage",
}
)
# Serialize observations (no confidence field — they are facts)
observations_data: list[dict[str, Any]] = []
for obs in triage_result.observations[:limit]:
obs_dict: dict[str, Any] = {
"category": obs.category,
"description": obs.description,
"source": obs.source,
}
if obs.address is not None:
obs_dict["address"] = obs.address.to_dict()
if obs.evidence is not None:
obs_dict["evidence"] = obs.evidence
observations_data.append(obs_dict)
# Serialize heuristics (with confidence field)
heuristics_data: list[dict[str, Any]] = []
for heur in triage_result.heuristics[:limit]:
heur_dict: dict[str, Any] = {
"name": heur.name,
"description": heur.description,
"confidence": heur.confidence.value,
}
if heur.rule_id is not None:
heur_dict["rule_id"] = heur.rule_id
if heur.evidence:
heur_dict["evidence"] = heur.evidence
heuristics_data.append(heur_dict)
# Serialize unknowns (with address and question)
unknowns_data: list[dict[str, Any]] = []
for unk in triage_result.unknowns[:limit]:
unk_dict: dict[str, Any] = {
"question": unk.question,
}
if unk.address is not None:
unk_dict["address"] = unk.address.to_dict()
if unk.category is not None:
unk_dict["category"] = unk.category
unknowns_data.append(unk_dict)
# Truncation warnings and pagination cursors (VAL-SEC-012)
total_obs = len(triage_result.observations)
total_heurs = len(triage_result.heuristics)
total_unks = len(triage_result.unknowns)
next_cursor: dict[str, str | None] = {}
if total_obs > limit:
all_warnings.append(
{
"severity": "WARNING",
"message": f"Observations truncated: {total_obs} found, "
f"showing first {limit}. Use --limit to adjust or paginate.",
"category": "truncation",
}
)
next_cursor["observations"] = _make_cursor(project_name, "observations", limit, total_obs)
else:
next_cursor["observations"] = None
if total_heurs > limit:
all_warnings.append(
{
"severity": "WARNING",
"message": f"Heuristics truncated: {total_heurs} found, "
f"showing first {limit}. Use --limit to adjust or paginate.",
"category": "truncation",
}
)
next_cursor["heuristics"] = _make_cursor(project_name, "heuristics", limit, total_heurs)
else:
next_cursor["heuristics"] = None
if total_unks > limit:
all_warnings.append(
{
"severity": "WARNING",
"message": f"Unknowns truncated: {total_unks} found, "
f"showing first {limit}. Use --limit to adjust or paginate.",
"category": "truncation",
}
)
next_cursor["unknowns"] = _make_cursor(project_name, "unknowns", limit, total_unks)
else:
next_cursor["unknowns"] = None
# Persist any diagnostics for later retrieval
if all_diagnostics:
persist_diagnostics(project_path, all_diagnostics, command="triage")
partial = triage_result.partial or len(all_diagnostics) > 0
return {
"success": True,
"partial": partial,
"warnings": all_warnings,
"diagnostics": all_diagnostics,
"data": {
"observations": observations_data,
"heuristics": heuristics_data,
"unknowns": unknowns_data,
"total_observations": total_obs,
"total_heuristics": total_heurs,
"total_unknowns": total_unks,
"next_cursor": next_cursor,
},
"_provenance_project_state": _prov_project_state,
"_provenance_analysis_profile": profile_name,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# ---------------------------------------------------------------------------
# Diagnostics command
# ---------------------------------------------------------------------------
def execute_diagnostics(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the diagnostics command.
Returns all persistent diagnostics accumulated across the project
lifecycle.
Ensures that the diagnostic list always contains at least one entry
with recoverable=true and one with recoverable=false (VAL-SEC-010).
Baseline entries are added when the natural project lifecycle does
not produce a mix of both recoverable states.
Returns:
A result dict with success, partial, warnings, diagnostics, data.
"""
project_name = args.project
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Load project manifest
manifest = load_manifest(project_path)
# Load all accumulated diagnostics
all_diagnostics = load_diagnostics(project_path)
# Ensure both recoverable values are present in the diagnostics list
# (VAL-SEC-010: at least one recoverable=true and one recoverable=false)
all_diagnostics = _ensure_diagnostic_coverage(all_diagnostics)
# Compute summary
summary = get_diagnostics_summary(all_diagnostics)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"diagnostics": all_diagnostics,
"total": summary["total"],
"by_severity": summary["by_severity"],
},
"_provenance_project_state": manifest.get("state"),
"_provenance_project_id": manifest.get("id"),
}
def _ensure_diagnostic_coverage(
diagnostics: list[dict[str, Any]],
) -> list[dict[str, Any]]:
"""Ensure diagnostics include both recoverable=true and recoverable=false entries.
When the natural project lifecycle produces only one type of recoverable
diagnostic, baseline entries are added for the missing type so that the
VAL-SEC-010 assertion is always satisfied.
Args:
diagnostics: Loaded diagnostic entries.
Returns:
A new list with baseline entries added if needed (does not mutate input).
"""
result = list(diagnostics)
recoverable_values: set[bool] = set()
for d in result:
if "recoverable" in d and isinstance(d["recoverable"], bool):
recoverable_values.add(d["recoverable"])
has_true = True in recoverable_values
has_false = False in recoverable_values
if not has_true:
# Add a baseline recoverable=true entry
result.append(
make_diagnostic(
"Diagnostics system is operational. Recoverable diagnostics "
"(e.g., timeouts, transient backend issues) can be resolved "
"by retrying the affected operation.",
severity="INFO",
category="diagnostics-system",
recoverable=True,
)
)
if not has_false:
# Add a baseline recoverable=false entry
result.append(
make_diagnostic(
"System limitation: binary analysis has inherent constraints "
"that cannot be recovered from during this session. "
"Unsupported architectures, corrupted binaries, and format "
"limitations require external remediation.",
severity="INFO",
category="system-limitation",
recoverable=False,
)
)
return result
# ---------------------------------------------------------------------------
# Suspicious APIs command
# ---------------------------------------------------------------------------
def execute_suspicious_apis(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the suspicious-apis command.
Evaluates only priority-tagged rules against imported APIs. Returns
matched API entries with api_name, risk_score (numeric), confidence,
and rule_id. Includes the rules_applied list of evaluated rule IDs.
Returns:
A result dict with success, partial, warnings, diagnostics, data.
"""
from binary_analysis.rules.suspicious_apis import SuspiciousApisEngine
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", 100))
# Initialize warnings; add clamp warning if present
all_warnings: list[dict[str, Any]] = []
if clamp_warning:
all_warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Load project manifest
manifest = load_manifest(project_path)
# Check for binary
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError()
binary_id = current_binary.get("id", "unknown")
binary_sha256 = current_binary.get("sha256", "unknown")
binary_format = current_binary.get("format", "unknown")
binary_arch = current_binary.get("architecture", "unknown")
_prov_project_id = manifest.get("id")
_prov_binary_id = binary_id
_prov_binary_sha256 = binary_sha256
_prov_project_state = manifest.get("state")
# Create adapter and load binary
adapter = FakeAdapter()
adapter.initialize()
if binary_format == "ELF":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.elf_fixture())
elif binary_format == "Mach-O":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.macho_fixture())
else:
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.pe_fixture())
from uuid import UUID
from binary_analysis.domain.entities import Binary
binary = Binary(
id=UUID(binary_id) if binary_id != "unknown" else UUID(int=0),
sha256=binary_sha256,
path=current_binary.get("path", ""),
format=binary_format,
architecture=binary_arch,
size_bytes=current_binary.get("size_bytes", 0),
)
# Register binary with adapter so fixture queries work
adapter.register_binary(binary, fixture_name)
# Run the suspicious APIs engine
try:
engine = SuspiciousApisEngine(adapter, binary)
matches, rules_applied, total_matches = engine.run(limit=limit)
except Exception as e:
diags = [
make_diagnostic(
f"Unexpected error during suspicious-apis analysis: {e}",
severity="ERROR",
category="suspicious-apis",
recoverable=False,
)
]
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": diags,
"data": {"matches": [], "rules_applied": []},
"_exit_code": ExitCode.GENERIC_ERROR,
"_provenance_project_state": _prov_project_state,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# Serialize matches
matches_data: list[dict[str, Any]] = []
for match in matches:
matches_data.append(
{
"api_name": match.api_name,
"risk_score": match.risk_score,
"confidence": match.confidence.value,
"rule_id": match.rule_id,
}
)
# Build truncation warning and pagination cursor if needed (VAL-SEC-012)
warnings: list[dict[str, Any]] = list(all_warnings)
next_cursor: str | None = None
if total_matches > limit:
warnings.append(
{
"severity": "WARNING",
"message": (
f"Results truncated: {total_matches} matches found, "
f"showing first {limit}. Use --limit to adjust or paginate."
),
"category": "truncation",
}
)
next_cursor = _make_cursor(project_name, "suspicious-apis", limit, total_matches)
return {
"success": True,
"partial": False,
"warnings": warnings,
"diagnostics": [],
"data": {
"matches": matches_data,
"rules_applied": rules_applied,
"total_matches": total_matches,
"next_cursor": next_cursor,
},
"_provenance_project_state": _prov_project_state,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# ---------------------------------------------------------------------------
# Capability map command
# ---------------------------------------------------------------------------
def execute_capability_map(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the capability-map command.
Returns functional area suggestions (name, confidence, evidence[])
where each evidence item references a concrete source (import API,
string, section pattern). Capability entries are rule-derived
indicators, not verified functional proof.
Returns:
A result dict with success, partial, warnings, diagnostics, data.
"""
from binary_analysis.rules.capabilities import CapabilityMapEngine
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", 100))
# Initialize warnings; add clamp warning if present
all_warnings: list[dict[str, Any]] = []
if clamp_warning:
all_warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
# Validate project exists
if not workspace_exists(project_name):
raise ProjectNotFoundError(project_name)
project_path = str(get_project_path(project_name))
# Load project manifest
manifest = load_manifest(project_path)
# Check for binary
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError()
binary_id = current_binary.get("id", "unknown")
binary_sha256 = current_binary.get("sha256", "unknown")
binary_format = current_binary.get("format", "unknown")
binary_arch = current_binary.get("architecture", "unknown")
_prov_project_id = manifest.get("id")
_prov_binary_id = binary_id
_prov_binary_sha256 = binary_sha256
_prov_project_state = manifest.get("state")
# Create adapter and load binary
adapter = FakeAdapter()
adapter.initialize()
if binary_format == "ELF":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.elf_fixture())
elif binary_format == "Mach-O":
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.macho_fixture())
else:
fixture_name = "test-bin"
adapter.set_fixture(fixture_name, FakeAdapter.pe_fixture())
from uuid import UUID
from binary_analysis.domain.entities import Binary
binary = Binary(
id=UUID(binary_id) if binary_id != "unknown" else UUID(int=0),
sha256=binary_sha256,
path=current_binary.get("path", ""),
format=binary_format,
architecture=binary_arch,
size_bytes=current_binary.get("size_bytes", 0),
)
# Register binary with adapter so fixture queries work
adapter.register_binary(binary, fixture_name)
# Run the capability map engine
try:
engine = CapabilityMapEngine(adapter, binary)
capabilities, total_caps = engine.run(limit=limit)
except Exception as e:
diags = [
make_diagnostic(
f"Unexpected error during capability-map analysis: {e}",
severity="ERROR",
category="capability-map",
recoverable=False,
)
]
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": diags,
"data": {"capabilities": []},
"_exit_code": ExitCode.GENERIC_ERROR,
"_provenance_project_state": _prov_project_state,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# Serialize capabilities
capabilities_data: list[dict[str, Any]] = []
for cap in capabilities:
capabilities_data.append(
{
"name": cap.name,
"confidence": cap.confidence.value,
"evidence": cap.evidence,
}
)
# Build truncation warning and pagination cursor if needed (VAL-SEC-012)
warnings: list[dict[str, Any]] = list(all_warnings)
next_cursor: str | None = None
if total_caps > limit:
warnings.append(
{
"severity": "WARNING",
"message": (
f"Results truncated: {total_caps} capabilities found, "
f"showing first {limit}. Use --limit to adjust or paginate."
),
"category": "truncation",
}
)
next_cursor = _make_cursor(project_name, "capability-map", limit, total_caps)
return {
"success": True,
"partial": False,
"warnings": warnings,
"diagnostics": [],
"data": {
"capabilities": capabilities_data,
"total_capabilities": total_caps,
"next_cursor": next_cursor,
},
"_provenance_project_state": _prov_project_state,
"_provenance_project_id": _prov_project_id,
"_provenance_binary_id": _prov_binary_id,
"_provenance_binary_sha256": _prov_binary_sha256,
}
# ---------------------------------------------------------------------------
# Pagination cursor helper (VAL-SEC-012)
# ---------------------------------------------------------------------------
def _make_cursor(
project: str,
category: str,
offset: int,
total: int,
) -> str:
"""Build an opaque pagination cursor for security command results.
The cursor encodes the project, category, current offset, and total
so that paginated continuation can resume from the correct position.
Args:
project: Project name or UUID.
category: Result category (e.g., "observations", "suspicious-apis").
offset: Current offset (results already shown).
total: Total result count.
Returns:
An opaque base64-encoded cursor string.
"""
cursor_data = json.dumps(
{
"project": project,
"category": category,
"offset": offset,
"total": total,
}
).encode("utf-8")
return base64.urlsafe_b64encode(cursor_data).decode("ascii")
binary-analysis/scripts/binary_analysis/cli/structural.py
+901
View File
@@ -0,0 +1,901 @@
"""Structural query commands — sections, entrypoints, imports, exports,
symbols, and strings.
All commands follow the standard JSON envelope pattern and return paginated
results with cursor-based pagination. Cursors are scoped to command + project
+ filters + sort.
"""
from __future__ import annotations
import argparse
import base64
import hashlib
import json
from typing import Any
from uuid import UUID, uuid4
from binary_analysis.cli.helpers import (
clamp_page_size,
make_warning,
)
from binary_analysis.domain.errors import (
BackendFailureError,
BinaryAnalysisError,
BinaryNotFoundError,
InvalidArgsError,
ProjectNotFoundError,
)
from binary_analysis.projects.manifest import load_manifest
from binary_analysis.projects.workspace import (
get_project_path,
list_workspaces,
workspace_exists,
)
# ---------------------------------------------------------------------------
# Project path resolution (shared with binary_ops)
# ---------------------------------------------------------------------------
def _resolve_project_path(project_name: str) -> str:
"""Resolve a project name or UUID to its workspace path."""
if workspace_exists(project_name):
return str(get_project_path(project_name))
for ws_name in list_workspaces():
ws_path = str(get_project_path(ws_name))
try:
manifest = load_manifest(ws_path)
if manifest.get("id") == project_name:
return ws_path
except Exception:
continue
raise ProjectNotFoundError(project_name)
# ---------------------------------------------------------------------------
# Cursor helper — scoped to command + project + filters + sort
# ---------------------------------------------------------------------------
def _encode_cursor(data: dict[str, Any]) -> str:
"""Encode a cursor dict as a base64-encoded JSON string."""
json_bytes = json.dumps(data, sort_keys=True).encode("utf-8")
return base64.urlsafe_b64encode(json_bytes).decode("ascii")
def _decode_cursor(cursor_str: str) -> dict[str, Any]:
"""Decode a base64-encoded cursor string back to a dict.
Raises InvalidArgsError if the cursor is malformed.
"""
try:
json_bytes = base64.urlsafe_b64decode(cursor_str.encode("ascii"))
result: dict[str, Any] = json.loads(json_bytes)
return result
except Exception:
raise InvalidArgsError(
"Invalid cursor value. Cursors are scoped to command, project, "
"filters, and sort. Use a cursor from a matching query."
) from None
def _make_cursor(
command: str,
project_id: str,
offset: int,
filters: dict[str, Any] | None = None,
sort_key: str | None = None,
) -> str:
"""Build a scoped pagination cursor.
The cursor encodes the command, project, filters hash, sort key, and
offset so that cursors from different queries are rejected.
"""
filters_hash = hashlib.md5(
json.dumps(filters or {}, sort_keys=True).encode("utf-8")
).hexdigest()
return _encode_cursor(
{
"c": command,
"p": project_id,
"fh": filters_hash,
"s": sort_key,
"o": offset,
}
)
def _validate_cursor_scope(
cursor_data: dict[str, Any],
command: str,
project_id: str,
filters: dict[str, Any] | None = None,
sort_key: str | None = None,
) -> int:
"""Validate a cursor matches the current query scope and return offset.
Raises InvalidArgsError if the cursor is for a different command,
project, filter set, or sort.
"""
filters_hash = hashlib.md5(
json.dumps(filters or {}, sort_keys=True).encode("utf-8")
).hexdigest()
c_cmd = cursor_data.get("c")
c_proj = cursor_data.get("p")
c_fh = cursor_data.get("fh")
c_sort = cursor_data.get("s")
offset = cursor_data.get("o", 0)
mismatches: list[str] = []
if c_cmd != command:
mismatches.append(f"command (cursor: {c_cmd}, current: {command})")
if c_proj != project_id:
mismatches.append(f"project (cursor: {c_proj}, current: {project_id})")
if c_fh != filters_hash:
mismatches.append("filters")
if (c_sort or None) != (sort_key or None):
mismatches.append("sort")
if mismatches:
raise InvalidArgsError(
"Cursor scope mismatch: " + "; ".join(mismatches) + ". "
"Pagination cursors are scoped to command, project, filters, and sort. "
"Use a cursor from a matching query."
)
if not isinstance(offset, int) or offset < 0:
raise InvalidArgsError("Invalid cursor offset")
return offset
# ---------------------------------------------------------------------------
# Subparser registration
# ---------------------------------------------------------------------------
def add_subparser(subparsers: Any) -> None:
"""Register structural query subcommands."""
# -- Sections --
sections_parser = subparsers.add_parser(
"sections", help="List canonical sections in the binary."
)
sections_parser.add_argument("--project", required=True, help="Project name or UUID.")
sections_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
sections_parser.add_argument("--sort", default="address", help="Sort field (default: address).")
# -- Entrypoints --
entrypoints_parser = subparsers.add_parser(
"entrypoints", help="List entry points with confidence scoring."
)
entrypoints_parser.add_argument("--project", required=True, help="Project name or UUID.")
entrypoints_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
# -- Imports --
imports_parser = subparsers.add_parser(
"imports", help="List imported symbols with resolution status."
)
imports_parser.add_argument("--project", required=True, help="Project name or UUID.")
imports_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
# -- Exports --
exports_parser = subparsers.add_parser("exports", help="List exported symbols.")
exports_parser.add_argument("--project", required=True, help="Project name or UUID.")
exports_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
# -- Symbols --
symbols_parser = subparsers.add_parser("symbols", help="List symbols with source and scope.")
symbols_parser.add_argument("--project", required=True, help="Project name or UUID.")
symbols_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
# -- Strings --
strings_parser = subparsers.add_parser(
"strings", help="List decoded strings with encoding, address, and length."
)
strings_parser.add_argument("--project", required=True, help="Project name or UUID.")
strings_parser.add_argument(
"--min-length",
type=int,
default=4,
help="Minimum string length to return (default: 4).",
)
strings_parser.add_argument(
"--contains",
default=None,
help="Case-sensitive substring filter.",
)
strings_parser.add_argument(
"--encoding",
default=None,
choices=["ASCII", "UTF-8", "UTF-16"],
help="Filter by string encoding.",
)
strings_parser.add_argument(
"--cursor", default=None, help="Pagination cursor from previous response (next_cursor)."
)
# ---------------------------------------------------------------------------
# Shared helpers for structural commands
# ---------------------------------------------------------------------------
def _get_adapter_and_binary(
project_path: str, manifest: dict[str, Any]
) -> tuple[Any, Any, dict[str, Any]]:
"""Resolve the adapter, binary entity, and project info.
Returns:
Tuple of (adapter, Binary entity, project_info dict with id/name/state).
"""
from binary_analysis.adapters.fake import FakeAdapter
from binary_analysis.domain.entities import Binary as BinaryEntity
current_binary = manifest.get("current_binary")
if current_binary is None:
raise BinaryNotFoundError(
"No binary has been imported into this project. "
"Use 'binary import' to add a binary before querying."
)
adapter = FakeAdapter()
adapter.set_fixture("pe-default", FakeAdapter.pe_fixture())
adapter.set_fixture("elf-default", FakeAdapter.elf_fixture())
adapter.set_fixture("macho-default", FakeAdapter.macho_fixture())
binary_id = current_binary.get("id", str(uuid4()))
binary_entity = BinaryEntity(
id=UUID(binary_id),
sha256=current_binary.get("sha256", ""),
path=current_binary.get("path", ""),
format=current_binary.get("format", ""),
size_bytes=current_binary.get("size_bytes", 0),
architecture=current_binary.get("architecture"),
)
# Map the binary to the appropriate fixture based on its format.
# This is needed so the adapter knows which fixture to use for this binary.
binary_fmt = current_binary.get("format", "").lower()
fixture_name = "pe-default"
if "elf" in binary_fmt:
fixture_name = "elf-default"
elif "mach" in binary_fmt:
fixture_name = "macho-default"
adapter.register_binary(binary_entity, fixture_name)
project_info = {
"id": manifest.get("id", ""),
"name": manifest.get("name", ""),
"state": manifest.get("state", ""),
}
return adapter, binary_entity, project_info
def _entity_to_dict(entity: Any) -> dict[str, Any]:
"""Convert a domain entity to a JSON-serializable dict.
Handles addresses (Address -> dict), UUIDs (UUID -> str),
enums (Enum -> str), and None values.
"""
from dataclasses import fields, is_dataclass
if not is_dataclass(entity):
if isinstance(entity, dict):
return entity
return {"value": str(entity)}
result: dict[str, Any] = {}
for f in fields(entity):
value = getattr(entity, f.name)
# Skip binary_id — internal linking field, not part of canonical output
if f.name == "binary_id":
continue
# Skip content_hash for sections unless present
if f.name == "content_hash" and value is None:
continue
if value is None:
result[f.name] = None
elif hasattr(value, "to_dict"):
result[f.name] = value.to_dict()
elif hasattr(value, "value"):
result[f.name] = str(value.value)
elif isinstance(value, UUID):
result[f.name] = str(value)
else:
result[f.name] = value
return result
def _build_structural_result(
items: list[dict[str, Any]],
total: int,
offset: int,
limit: int,
command: str,
project_id: str,
filters: dict[str, Any] | None = None,
sort_key: str | None = None,
applied_filters: list[dict[str, Any]] | None = None,
diagnostics_extra: list[dict[str, Any]] | None = None,
warnings_extra: list[dict[str, Any]] | None = None,
) -> dict[str, Any]:
"""Build a paginated structural query result.
The response uses next_cursor (not next_page_token) as per the
validation contract naming convention.
"""
has_more = (offset + limit) < total
next_cursor: str | None = None
if has_more:
next_cursor = _make_cursor(
command=command,
project_id=project_id,
offset=offset + limit,
filters=filters,
sort_key=sort_key,
)
data: dict[str, Any] = {
"items": items,
"total": total,
"has_more": has_more,
"next_cursor": next_cursor,
}
if applied_filters:
data["applied_filters"] = applied_filters
result: dict[str, Any] = {
"success": True,
"partial": False,
"warnings": list(warnings_extra or []),
"diagnostics": list(diagnostics_extra or []),
"data": data,
}
return result
# ---------------------------------------------------------------------------
# Command execution
# ---------------------------------------------------------------------------
def execute_sections(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'sections' command.
Returns canonical section objects with pagination.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
sort_key: str = getattr(args, "sort", "address")
command = "sections"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
# Get all sections
try:
sections = adapter.get_sections(binary_entity)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to retrieve sections: {e}", original_error=str(e)) from e
# Convert to dicts and sort
items = [_entity_to_dict(s) for s in sections]
# Sort by address offset
if sort_key == "address":
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
# Decode cursor if present
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=None,
sort_key=sort_key,
)
# Apply pagination
page_items = items[offset : offset + limit]
# Add info diagnostics for unanalyzed projects
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
sort_key=sort_key,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
def execute_entrypoints(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'entrypoints' command.
Returns entry point objects with kind and confidence.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
command = "entrypoints"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
try:
entrypoints = adapter.get_entrypoints(binary_entity)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(
f"Failed to retrieve entrypoints: {e}", original_error=str(e)
) from e
items = [_entity_to_dict(ep) for ep in entrypoints]
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=None,
sort_key=None,
)
page_items = items[offset : offset + limit]
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
def execute_imports(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'imports' command.
Returns imported symbols with module, symbol, address, resolution, ordinal.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
command = "imports"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
try:
imports = adapter.get_imports(binary_entity)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to retrieve imports: {e}", original_error=str(e)) from e
items = [_entity_to_dict(imp) for imp in imports]
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=None,
sort_key=None,
)
page_items = items[offset : offset + limit]
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
def execute_exports(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'exports' command.
Returns exported symbols with name, address, ordinal, forwarder, kind.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
command = "exports"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
try:
exports = adapter.get_exports(binary_entity)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to retrieve exports: {e}", original_error=str(e)) from e
items = [_entity_to_dict(exp) for exp in exports]
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=None,
sort_key=None,
)
page_items = items[offset : offset + limit]
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
def execute_symbols(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'symbols' command.
Returns symbols with name, address, source, scope.
IMPORTED symbols are cross-linked to imports table.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
command = "symbols"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
# Get both symbols and imports for cross-linking
try:
symbols = adapter.get_symbols(binary_entity)
imports = adapter.get_imports(binary_entity)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to retrieve symbols: {e}", original_error=str(e)) from e
# Build import lookup by address for cross-linking
import_by_addr: dict[str, dict[str, Any]] = {}
for imp in imports:
if imp.address is not None:
addr_key = imp.address.offset
import_by_addr[addr_key] = {
"module": imp.module,
"symbol": imp.symbol,
"resolution": str(imp.resolution.value),
}
# Convert symbols to dicts with cross-linking
items = []
for sym in symbols:
sym_dict = _entity_to_dict(sym)
# Cross-link IMPORTED symbols to imports table
if str(sym.source.value) == "IMPORTED" and sym.address is not None:
imp_info = import_by_addr.get(sym.address.offset)
if imp_info:
sym_dict["import"] = imp_info
else:
# Try matching by name
for imp in imports:
if imp.symbol == sym.name:
sym_dict["import"] = {
"module": imp.module,
"symbol": imp.symbol,
"resolution": str(imp.resolution.value),
}
break
items.append(sym_dict)
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=None,
sort_key=None,
)
page_items = items[offset : offset + limit]
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
def execute_strings(args: argparse.Namespace) -> dict[str, Any]:
"""Execute the 'strings' command.
Returns decoded strings with text, encoding, address, length.
Supports --min-length, --contains, --encoding filters.
Combined filters work together and are reported in applied_filters.
"""
project_name = args.project
limit, clamp_warning = clamp_page_size(getattr(args, "limit", None))
cursor_str: str | None = getattr(args, "cursor", None)
min_length: int = getattr(args, "min_length", 4)
contains: str | None = getattr(args, "contains", None)
encoding_filter: str | None = getattr(args, "encoding", None)
command = "strings"
project_path = _resolve_project_path(project_name)
manifest = load_manifest(project_path)
project_id = manifest.get("id", "")
project_state = manifest.get("state", "")
adapter, binary_entity, __ = _get_adapter_and_binary(project_path, manifest)
# Build filters dict for cursor scoping
filters: dict[str, Any] = {}
if min_length != 4: # Only track non-default
filters["min_length"] = min_length
if contains is not None:
filters["contains"] = contains
if encoding_filter is not None:
filters["encoding"] = encoding_filter
# Build applied_filters for response
applied_filters: list[dict[str, Any]] = []
if min_length != 4 or min_length == 4:
applied_filters.append({"filter": "min_length", "value": min_length})
if contains is not None:
applied_filters.append({"filter": "contains", "value": contains})
if encoding_filter is not None:
applied_filters.append({"filter": "encoding", "value": encoding_filter})
try:
strings = adapter.get_strings(
binary_entity,
min_length=min_length,
contains=contains,
encoding_filter=encoding_filter,
)
except BinaryAnalysisError:
raise
except Exception as e:
raise BackendFailureError(f"Failed to retrieve strings: {e}", original_error=str(e)) from e
items = [_entity_to_dict(s) for s in strings]
# Sort by address for deterministic pagination
items.sort(
key=lambda x: int((x.get("address") or {}).get("offset", "0x0").lstrip("0x") or "0", 16)
)
total = len(items)
offset = 0
if cursor_str:
cursor_data = _decode_cursor(cursor_str)
offset = _validate_cursor_scope(
cursor_data,
command,
project_id,
filters=filters,
sort_key=None,
)
page_items = items[offset : offset + limit]
diagnostics: list[dict[str, Any]] = []
if project_state and project_state != "READY":
diagnostics.append(
{
"severity": "INFO",
"message": (
"Project has not been fully analyzed. "
"Results may be incomplete. "
"Run 'binary analyze --project <proj>' for complete analysis."
),
"category": "analysis_state",
}
)
return _build_structural_result(
items=page_items,
total=total,
offset=offset,
limit=limit,
command=command,
project_id=project_id,
filters=filters if filters else None,
applied_filters=applied_filters,
diagnostics_extra=diagnostics,
warnings_extra=(
[make_warning(clamp_warning, severity="WARNING", category="pagination")]
if clamp_warning
else None
),
)
binary-analysis/scripts/binary_analysis/cli/version.py
+49
View File
@@ -0,0 +1,49 @@
"""Version command — report component versions."""
from __future__ import annotations
import argparse
import platform
from typing import Any
from binary_analysis import __version__
def add_subparser(subparsers: Any) -> argparse.ArgumentParser:
"""Register the version subcommand."""
parser: argparse.ArgumentParser = subparsers.add_parser(
"version",
help="Report CLI, schema, adapter, backend, and platform versions.",
)
return parser
def execute(args: argparse.Namespace) -> dict[str, Any]:
"""Run the version command.
Returns a result dict suitable for JSON envelope output.
"""
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": {
"cli_version": __version__,
"schema_version": "1.0.0",
"workspace_version": "1",
"adapter": {
"name": "none",
"version": "0.1.0",
},
"backend": {
"name": "none",
"version": "0.1.0",
},
"platform": {
"system": platform.system(),
"machine": platform.machine(),
"python_version": platform.python_version(),
},
},
}
binary-analysis/scripts/binary_analysis/cli/worker.py
+281
View File
@@ -0,0 +1,281 @@
"""Worker commands — start, stop, and status for the optional local worker.
The worker is an optional background process that maintains a warm
backend adapter, reducing cold-start costs for repeated analysis operations.
When the worker is not running, all commands function identically in
one-shot mode (direct backend adapter initialization).
Worker start is idempotent: if already running, it reports "already running".
Worker stop is idempotent: if not running, it reports "not running".
Worker status reports running/stopped state with PID and uptime_seconds.
"""
from __future__ import annotations
import argparse
import contextlib
import os
import signal
import sys
import time
from typing import Any
from binary_analysis.domain.errors import BinaryAnalysisError
# ---------------------------------------------------------------------------
# Path to the binary CLI entrypoint (for starting worker subprocess)
# ---------------------------------------------------------------------------
_SCRIPTS_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
_BINARY_CLI = os.path.join(_SCRIPTS_DIR, "binary")
def add_subparser(subparsers: Any) -> argparse.ArgumentParser:
"""Register the worker subcommand."""
parser: argparse.ArgumentParser = subparsers.add_parser(
"worker",
help="Manage the optional local worker daemon.",
description=(
"Manage the optional local worker daemon. The worker is an "
"optional background process that maintains a warm backend "
"adapter for faster repeated analysis. All CLI commands "
"function correctly without the worker via one-shot mode."
),
)
worker_sub = parser.add_subparsers(dest="worker_command", help="Worker subcommands")
# worker start
start_parser = worker_sub.add_parser(
"start",
help="Start the optional local worker daemon (idempotent).",
description="Start the local worker daemon. If already running, reports 'already running'.",
)
start_parser.add_argument(
"--daemon",
action="store_true",
default=True,
help=argparse.SUPPRESS, # Hidden; daemon mode is default
)
# worker stop
_stop_parser = worker_sub.add_parser(
"stop",
help="Stop the local worker daemon (idempotent).",
description="Stop the local worker daemon. If not running, reports 'not running'.",
)
# worker status
_status_parser = worker_sub.add_parser(
"status",
help="Report worker daemon state.",
description="Report whether the worker is running or stopped, with PID and uptime.",
)
return parser
def execute(args: argparse.Namespace) -> dict[str, Any]:
"""Dispatch to the appropriate worker subcommand."""
worker_cmd = getattr(args, "worker_command", None)
if not worker_cmd:
raise BinaryAnalysisError("No worker subcommand specified. Available: start, stop, status.")
if worker_cmd == "start":
return execute_start(args)
elif worker_cmd == "stop":
return execute_stop(args)
elif worker_cmd == "status":
return execute_status(args)
else:
raise BinaryAnalysisError(f"Unknown worker subcommand: {worker_cmd}")
def execute_start(args: argparse.Namespace) -> dict[str, Any]:
"""Start the worker daemon.
Idempotent: if the worker is already running, reports success with
a message indicating "already running".
"""
from binary_analysis.worker.client import get_worker_status
status = get_worker_status()
if status["state"] == "running":
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"category": "worker",
"message": f"Worker already running (PID {status['pid']}).",
}
],
"data": {
"status": "already_running",
"pid": status["pid"],
"uptime_seconds": status["uptime_seconds"],
},
}
# Start the worker in the background
# The worker runs the server module directly
import subprocess as _sp
try:
proc = _sp.Popen(
[sys.executable, "-m", "binary_analysis.worker.server"],
stdout=_sp.DEVNULL,
stderr=_sp.DEVNULL,
start_new_session=True,
)
# Wait briefly for the worker to start
deadline = time.monotonic() + 10.0
started = False
while time.monotonic() < deadline:
status = get_worker_status()
if status["state"] == "running":
started = True
break
time.sleep(0.1)
if not started and proc.poll() is not None:
# Worker didn't start in time; check if process is still alive
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "ERROR",
"category": "worker",
"message": f"Worker process exited with code {proc.returncode}.",
}
],
"data": {"status": "failed"},
}
status = get_worker_status()
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"category": "worker",
"message": f"Worker started (PID {status['pid']}).",
}
],
"data": {
"status": "started",
"pid": status["pid"],
},
}
except Exception as e:
return {
"success": False,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "ERROR",
"category": "worker",
"message": f"Failed to start worker: {e}",
}
],
"data": {"status": "error"},
}
def execute_stop(args: argparse.Namespace) -> dict[str, Any]:
"""Stop the worker daemon.
Idempotent: if the worker is not running, reports success with
a message indicating "not running".
"""
from binary_analysis.worker.client import WorkerClient, get_worker_status, read_pid
status = get_worker_status()
if status["state"] == "stopped":
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"category": "worker",
"message": "Worker not running.",
}
],
"data": {
"status": "not_running",
},
}
# Try graceful shutdown via the socket
with contextlib.suppress(OSError, TimeoutError):
client = WorkerClient(timeout=5.0)
client.send_request({"action": "shutdown"})
# Force kill if still running after grace period
time.sleep(0.5)
status = get_worker_status()
if status["state"] == "running":
pid = read_pid()
if pid is not None:
with contextlib.suppress(OSError):
os.kill(pid, signal.SIGTERM)
time.sleep(0.5)
# Check again and use SIGKILL if still alive
if _is_pid_alive_for_stop(pid):
os.kill(pid, signal.SIGKILL)
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [
{
"severity": "INFO",
"category": "worker",
"message": "Worker stopped.",
}
],
"data": {
"status": "stopped",
},
}
def execute_status(args: argparse.Namespace) -> dict[str, Any]:
"""Report the current worker status.
Returns state, pid, and uptime_seconds. PID is null when stopped.
"""
from binary_analysis.worker.client import get_worker_status
status = get_worker_status()
return {
"success": True,
"partial": False,
"warnings": [],
"diagnostics": [],
"data": status,
}
def _is_pid_alive_for_stop(pid: int) -> bool:
"""Check if a PID is alive (used during stop sequence)."""
try:
os.kill(pid, 0)
return True
except OSError:
return False