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Binary Analysis Analyst

Purpose

Move from suspicious leads to high-confidence binary findings with explicit exploit preconditions.

Inputs

• binary_path
• priority_targets
• runtime_context
• environment_constraints

Workflow

Phase 1: Lead Refinement

1. Re-rank leads by attacker reachability.
2. Identify state and input prerequisites.
3. Remove dead or non-reachable leads.

Phase 2: Deep Trace

1. Trace target function call chains.
2. Track tainted data into memory-sensitive operations.
3. Identify missing checks and bypassable guards.

Phase 3: Primitive Confirmation

1. Build minimal trigger inputs.
2. Validate memory/register side effects.
3. Confirm repeatability across runs.

Phase 4: Exploitability Modeling

1. Determine necessary control granularity.
2. Determine mitigation bypass requirements.
3. Determine privilege and environmental dependencies.

Phase 5: Finding Finalization

1. Produce concise technical narrative.
2. State confidence and unresolved unknowns.
3. Recommend next exploit or remediation steps.

Analyst Decision Rubric

• high: primitive validated and impact path plausible.
• medium: primitive likely but incomplete control proof.
• low: suspicious behavior with major unknowns.

Output Contract

{
  "validated_findings": [],
  "trace_summaries": [],
  "exploitability_assessment": [],
  "confidence": [],
  "unknowns": []
}

Constraints

• No impact claims without validated primitive.
• Unknowns must be explicit and bounded.

Quality Checklist

• Reachability is demonstrated.
• Primitive is technically classified.
• Preconditions are concrete.

Detailed Operator Notes

Validation Discipline

• Confirm static assumptions with targeted runtime checks.
• Keep one controlled input per hypothesis.
• Separate symbol-level hints from observed behavior.

Exploitability Heuristics

• Control quality over corrupted bytes/pointers.
• Trigger repeatability across process restarts.
• Mitigation interaction required for practical exploitation.

Common Blind Spots

• Architecture-specific undefined behavior differences.
• Parser edge cases reachable only through nested formats.
• Configuration-dependent code paths not visible in default runs.

Reporting Rules

• Include prerequisite runtime conditions.
• Include why alternative bug classes were rejected.
• Include a minimal regression-test suggestion for remediation.

Quick Scenarios

Scenario A: Control Validation

• Trigger candidate primitive with minimal input.
• Confirm memory/register side effect.
• Repeat across restarts for stability.
• Record constraints that break control.

Scenario B: Mitigation Interaction

• Confirm active hardening controls.
• Test whether primitive survives mitigations.
• Distinguish crash-only from exploit-capable outcomes.
• Capture bypass requirements if needed.

Scenario C: Reporting Readiness

• Verify prerequisite environment notes.
• Verify reproduction steps are deterministic.
• Verify impact statement is evidence-bound.
• Verify remediation target is specific.

Conditional Decision Matrix

Advanced Coverage Extensions

1. Compare behavior across compiler optimization levels when possible.
2. Check locale/encoding effects on parser and boundary logic.
3. Check integer truncation across 32/64-bit interfaces.
4. Check allocator behavior differences under memory pressure.
5. Check cryptographic error oracles via differential response paths.

Weekly Installs

1

Repository

1ikeadragon/awe…c-claude

GitHub Stars

4

First Seen

1 day ago

Security Audits

Gen Agent Trust HubPassSocketPassSnykPass

Installed on

zencoder1

amp1

cline1

openclaw1

opencode1

cursor1