debugger-integration-skill
SolidAdvanced debugging integration for vulnerability research
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# Debugger Integration Skill
## Overview
This skill provides advanced debugging integration for vulnerability research and exploit development.
## Capabilities
- Control GDB/LLDB sessions programmatically
- Set conditional breakpoints
- Trace function calls and returns
- Monitor memory allocations
- Analyze crash dumps
- Support WinDbg for Windows
- Enable rr for record/replay
- Create debugging scripts
## Target Processes
- dynamic-analysis-runtime-testing.js
- exploit-development.js
- binary-reverse-engineering.js
- vulnerability-root-cause-analysis.js
## Dependencies
- GDB with pwndbg or gef
- LLDB
- WinDbg (Windows)
- rr (record/replay)
- Python 3.x (GDB Python API)
## Usage Context
This skill is essential for:
- Dynamic vulnerability analysis
- Exploit debugging
- Root cause analysis
- Memory corruption research
- Runtime behavior analysis
## Integration Notes
- Supports scripted debugging sessions
- Can record and replay executions
- Integrates with reverse engineering tools
- Supports remote debugging
- Can generate debugging reports
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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