mirror of
https://github.com/magnus919/agent-skills.git
synced 2026-09-12 20:16:29 +03:00
fix: relocate binary analysis skill
This commit is contained in:
username
@@ -0,0 +1,918 @@
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"""Security analysis CLI commands — triage, diagnostics, suspicious-apis, capability-map.
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Implements the security commands for milestone: security-ship.
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Triage: Runs the rule engine against backend data to produce structured
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observations (deterministic facts), heuristics (rule-derived interpretations
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with confidence), and unknowns (unresolved questions).
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Diagnostics: Retrieves all persistent diagnostics accumulated across
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the project lifecycle from previous commands (analyze, triage, etc.).
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Suspicious-apis: Evaluates only priority-tagged rules against imported APIs
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to detect potentially suspicious API usage. Returns matches with api_name,
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risk_score (numeric), confidence, and rule_id. Includes rules_applied list.
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Capability-map: Returns functional area suggestions (name, confidence,
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evidence[]) where each evidence item references a concrete source (import
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API, string, section pattern). Capability entries are labeled as rule-derived
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indicators, not verified functional proof.
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"""
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from __future__ import annotations
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import argparse
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import base64
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import json
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from typing import Any
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from binary_analysis.adapters.fake import FakeAdapter
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from binary_analysis.cli.helpers import (
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clamp_page_size,
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make_diagnostic,
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make_warning,
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)
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from binary_analysis.domain.enums import ExitCode
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from binary_analysis.domain.errors import (
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AnalysisFailedError,
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BackendFailureError,
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BinaryNotFoundError,
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OperationTimeoutError,
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ProjectNotFoundError,
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)
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from binary_analysis.projects.diagnostics import (
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get_diagnostics_summary,
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load_diagnostics,
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persist_diagnostics,
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)
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from binary_analysis.projects.manifest import load_manifest
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from binary_analysis.projects.workspace import get_project_path, workspace_exists
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# ---------------------------------------------------------------------------
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# Argument registration
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# ---------------------------------------------------------------------------
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def add_subparser(sub: argparse._SubParsersAction[argparse.ArgumentParser]) -> None:
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"""Register triage, diagnostics, suspicious-apis, and capability-map subcommands."""
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triage_parser = sub.add_parser(
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"triage",
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help="Run triage analysis: observations, heuristics, and unknowns",
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description=(
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"Run automated triage analysis on the imported binary. "
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"Produces structured output in three categories: "
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"observations (deterministic facts), heuristics (rule-derived "
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"interpretations with confidence scores), and unknowns "
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"(unresolved questions). No free-form narrative or agent conclusions."
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),
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)
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triage_parser.add_argument(
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"--project",
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required=True,
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help="Project name or UUID containing the binary to triage.",
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)
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triage_parser.add_argument(
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"--profile",
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default="standard",
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help="Analysis profile to use (default: standard).",
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)
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triage_parser.add_argument(
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"--limit",
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type=int,
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default=argparse.SUPPRESS,
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help="Maximum results per category (default: 100, max: 1000).",
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)
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diag_parser = sub.add_parser(
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"diagnostics",
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help="List all persistent diagnostics from project lifecycle",
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description=(
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"List all accumulated diagnostics from the project lifecycle: "
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"warnings, limitations, and partial failures from analyze, "
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"triage, and other commands. Each entry includes severity, "
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"category, message, and recoverable flag."
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),
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)
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diag_parser.add_argument(
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"--project",
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required=True,
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help="Project name or UUID to retrieve diagnostics for.",
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)
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suspicious_parser = sub.add_parser(
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"suspicious-apis",
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help="Detect suspicious API usage with risk scores and confidence",
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description=(
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"Evaluate imported APIs against priority-tagged suspicious API rules. "
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"Returns matches with api_name, risk_score (numeric), confidence "
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"(Confidence enum), and rule_id identifying the priority rule. "
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"Only priority-tagged rules are evaluated; the rules_applied list "
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"documents which rules were checked. Results are bounded by the "
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"result count limit (default 100, max 1000)."
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),
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)
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suspicious_parser.add_argument(
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"--project",
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required=True,
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help="Project name or UUID containing the binary to analyze.",
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)
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suspicious_parser.add_argument(
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"--limit",
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type=int,
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default=argparse.SUPPRESS,
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help="Maximum number of matches to return (default: 100, max: 1000).",
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)
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capability_parser = sub.add_parser(
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"capability-map",
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help="Suggest functional capabilities from rule-derived indicators",
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description=(
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"Return functional area suggestions (name, confidence, evidence[]) "
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"derived from imported APIs, strings, and section patterns. Each "
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"evidence item references a concrete source (e.g., import: 'CreateFileW', "
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"string: '/etc/passwd'). Capability entries are rule-derived indicators, "
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"not verified functional proof. Confidence values are used rather than "
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"unconditional certainty/verified fields. Results are bounded by the "
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"result count limit (default 100, max 1000)."
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),
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)
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capability_parser.add_argument(
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"--project",
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required=True,
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help="Project name or UUID containing the binary to analyze.",
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)
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capability_parser.add_argument(
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"--limit",
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type=int,
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default=argparse.SUPPRESS,
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help="Maximum number of capabilities to return (default: 100, max: 1000).",
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)
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# ---------------------------------------------------------------------------
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# Triage command
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# ---------------------------------------------------------------------------
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def execute_triage(args: argparse.Namespace) -> dict[str, Any]:
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"""Execute the triage command.
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Returns:
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A result dict with success, partial, warnings, diagnostics, data, and
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optional _exit_code for non-success paths.
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"""
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project_name = args.project
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profile_name = getattr(args, "profile", "standard")
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limit, clamp_warning = clamp_page_size(getattr(args, "limit", 100))
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# Initialize warnings list; clamp warning is added first if present
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all_warnings: list[dict[str, Any]] = []
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if clamp_warning:
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all_warnings.append(make_warning(clamp_warning, severity="WARNING", category="pagination"))
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# Validate project exists
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if not workspace_exists(project_name):
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raise ProjectNotFoundError(project_name)
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project_path = str(get_project_path(project_name))
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# Load project manifest
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manifest = load_manifest(project_path)
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# Check for binary
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current_binary = manifest.get("current_binary")
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if current_binary is None:
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raise BinaryNotFoundError()
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binary_id = current_binary.get("id", "unknown")
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binary_sha256 = current_binary.get("sha256", "unknown")
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binary_format = current_binary.get("format", "unknown")
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binary_arch = current_binary.get("architecture", "unknown")
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# Provenance context fields for the envelope
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_prov_project_id = manifest.get("id")
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_prov_binary_id = binary_id
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_prov_binary_sha256 = binary_sha256
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_prov_project_state = manifest.get("state")
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# Create adapter and run triage
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adapter = FakeAdapter()
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adapter.initialize()
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# Set up the adapter with appropriate fixture
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fixture_name = "test-bin"
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if binary_format == "ELF":
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adapter.set_fixture(fixture_name, FakeAdapter.elf_fixture())
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elif binary_format == "Mach-O":
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adapter.set_fixture(fixture_name, FakeAdapter.macho_fixture())
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else:
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adapter.set_fixture(fixture_name, FakeAdapter.pe_fixture())
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from uuid import UUID
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from binary_analysis.domain.entities import Binary
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binary = Binary(
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id=UUID(binary_id) if binary_id != "unknown" else UUID(int=0),
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sha256=binary_sha256,
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path=current_binary.get("path", ""),
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format=binary_format,
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architecture=binary_arch,
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size_bytes=current_binary.get("size_bytes", 0),
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analysis_profile=profile_name,
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)
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# Register binary with adapter so backend queries return real fixture data
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adapter.register_binary(binary, fixture_name)
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# Run the triage
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try:
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triage_result = adapter.run_triage(binary)
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except OperationTimeoutError:
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# Return partial results
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diags = [
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make_diagnostic(
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"Triage operation timed out; results may be incomplete",
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severity="WARNING",
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category="timeout",
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recoverable=True,
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)
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]
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# Persist diagnostics
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persist_diagnostics(project_path, diags, command="triage")
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return {
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"success": False,
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"partial": True,
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"warnings": all_warnings,
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"diagnostics": diags,
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"data": {
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"observations": [],
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"heuristics": [],
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"unknowns": [],
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},
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"_exit_code": ExitCode.OPERATION_TIMEOUT,
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"_provenance_project_state": _prov_project_state,
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"_provenance_analysis_profile": profile_name,
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"_provenance_project_id": _prov_project_id,
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"_provenance_binary_id": _prov_binary_id,
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"_provenance_binary_sha256": _prov_binary_sha256,
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}
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except BackendFailureError as e:
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# Treat backend failure as partial - return engine diagnostics
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diags = [
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make_diagnostic(
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str(e),
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severity="ERROR",
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category="backend-failure",
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recoverable=False,
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)
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]
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persist_diagnostics(project_path, diags, command="triage")
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return {
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"success": False,
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"partial": True,
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"warnings": all_warnings,
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"diagnostics": diags,
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"data": {
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"observations": [],
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"heuristics": [],
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"unknowns": [],
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},
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"_exit_code": ExitCode.BACKEND_FAILURE,
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"_provenance_project_state": _prov_project_state,
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"_provenance_analysis_profile": profile_name,
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"_provenance_project_id": _prov_project_id,
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"_provenance_binary_id": _prov_binary_id,
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"_provenance_binary_sha256": _prov_binary_sha256,
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}
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except AnalysisFailedError:
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diags = [
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make_diagnostic(
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"Analysis has not been completed; triage results are limited",
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severity="WARNING",
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category="analysis-state",
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recoverable=True,
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)
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]
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persist_diagnostics(project_path, diags, command="triage")
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return {
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"success": False,
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"partial": True,
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"warnings": all_warnings,
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"diagnostics": diags,
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"data": {
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"observations": [],
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"heuristics": [],
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"unknowns": [],
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},
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"_exit_code": ExitCode.ANALYSIS_FAILED,
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"_provenance_project_state": _prov_project_state,
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"_provenance_analysis_profile": profile_name,
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"_provenance_project_id": _prov_project_id,
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"_provenance_binary_id": _prov_binary_id,
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"_provenance_binary_sha256": _prov_binary_sha256,
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}
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except Exception as e:
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diags = [
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make_diagnostic(
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f"Unexpected error during triage: {e}",
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severity="ERROR",
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category="triage",
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recoverable=False,
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)
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]
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persist_diagnostics(project_path, diags, command="triage")
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return {
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"success": False,
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"partial": True,
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"warnings": all_warnings,
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"diagnostics": diags,
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"data": {
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"observations": [],
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"heuristics": [],
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"unknowns": [],
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},
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"_exit_code": ExitCode.GENERIC_ERROR,
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"_provenance_project_state": _prov_project_state,
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"_provenance_analysis_profile": profile_name,
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"_provenance_project_id": _prov_project_id,
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"_provenance_binary_id": _prov_binary_id,
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"_provenance_binary_sha256": _prov_binary_sha256,
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}
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# Collect all diagnostics from triage
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all_diagnostics: list[dict[str, Any]] = []
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for ed in triage_result.engine_diagnostics:
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all_diagnostics.append(ed)
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if triage_result.partial:
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all_warnings.append(
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{
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"severity": "WARNING",
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"message": "Triage completed with partial results; "
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"some analyzers encountered errors",
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"category": "triage",
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}
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)
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# Serialize observations (no confidence field — they are facts)
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observations_data: list[dict[str, Any]] = []
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for obs in triage_result.observations[:limit]:
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obs_dict: dict[str, Any] = {
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"category": obs.category,
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"description": obs.description,
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"source": obs.source,
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}
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if obs.address is not None:
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obs_dict["address"] = obs.address.to_dict()
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if obs.evidence is not None:
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obs_dict["evidence"] = obs.evidence
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observations_data.append(obs_dict)
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# Serialize heuristics (with confidence field)
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heuristics_data: list[dict[str, Any]] = []
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for heur in triage_result.heuristics[:limit]:
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heur_dict: dict[str, Any] = {
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"name": heur.name,
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"description": heur.description,
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"confidence": heur.confidence.value,
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}
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if heur.rule_id is not None:
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heur_dict["rule_id"] = heur.rule_id
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if heur.evidence:
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heur_dict["evidence"] = heur.evidence
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heuristics_data.append(heur_dict)
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# Serialize unknowns (with address and question)
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unknowns_data: list[dict[str, Any]] = []
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for unk in triage_result.unknowns[:limit]:
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unk_dict: dict[str, Any] = {
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"question": unk.question,
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}
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if unk.address is not None:
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unk_dict["address"] = unk.address.to_dict()
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if unk.category is not None:
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unk_dict["category"] = unk.category
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unknowns_data.append(unk_dict)
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# Truncation warnings and pagination cursors (VAL-SEC-012)
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total_obs = len(triage_result.observations)
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total_heurs = len(triage_result.heuristics)
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total_unks = len(triage_result.unknowns)
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next_cursor: dict[str, str | None] = {}
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if total_obs > limit:
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all_warnings.append(
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{
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"severity": "WARNING",
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"message": f"Observations truncated: {total_obs} found, "
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f"showing first {limit}. Use --limit to adjust or paginate.",
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"category": "truncation",
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}
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)
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next_cursor["observations"] = _make_cursor(project_name, "observations", limit, total_obs)
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else:
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next_cursor["observations"] = None
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if total_heurs > limit:
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all_warnings.append(
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{
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"severity": "WARNING",
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"message": f"Heuristics truncated: {total_heurs} found, "
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f"showing first {limit}. Use --limit to adjust or paginate.",
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"category": "truncation",
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}
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)
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next_cursor["heuristics"] = _make_cursor(project_name, "heuristics", limit, total_heurs)
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else:
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next_cursor["heuristics"] = None
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if total_unks > limit:
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all_warnings.append(
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{
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"severity": "WARNING",
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"message": f"Unknowns truncated: {total_unks} found, "
|
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f"showing first {limit}. Use --limit to adjust or paginate.",
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"category": "truncation",
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}
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)
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next_cursor["unknowns"] = _make_cursor(project_name, "unknowns", limit, total_unks)
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else:
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next_cursor["unknowns"] = None
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# Persist any diagnostics for later retrieval
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if all_diagnostics:
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persist_diagnostics(project_path, all_diagnostics, command="triage")
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partial = triage_result.partial or len(all_diagnostics) > 0
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return {
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"success": True,
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"partial": partial,
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"warnings": all_warnings,
|
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"diagnostics": all_diagnostics,
|
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"data": {
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"observations": observations_data,
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"heuristics": heuristics_data,
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"unknowns": unknowns_data,
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"total_observations": total_obs,
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"total_heuristics": total_heurs,
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"total_unknowns": total_unks,
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"next_cursor": next_cursor,
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},
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"_provenance_project_state": _prov_project_state,
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"_provenance_analysis_profile": profile_name,
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"_provenance_project_id": _prov_project_id,
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"_provenance_binary_id": _prov_binary_id,
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"_provenance_binary_sha256": _prov_binary_sha256,
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}
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# ---------------------------------------------------------------------------
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# Diagnostics command
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# ---------------------------------------------------------------------------
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|
||||
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def execute_diagnostics(args: argparse.Namespace) -> dict[str, Any]:
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"""Execute the diagnostics command.
|
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|
||||
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).
|
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Baseline entries are added when the natural project lifecycle does
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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")
|
||||
Reference in New Issue
Block a user