GitHub Blog · AI & ML· Antonio Morales·· 7 d ago
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
AI summary
GitHub Security Lab released Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects. Given a GitHub repository, it identifies entry points, analyses build systems, writes harnesses, runs AFL++, reads coverage reports and improves harnesses, then classifies every crash and generates vulnerability reports.
Selection record
Threshold 60Official, first-handFirst 62Second 62
AdmittedSum of both 124 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：GitHub Security Lab的LLM Agent驱动模糊测试流水线
- Why it was chosen
- The article fully describes the architecture's responsibilities and coverage feedback loop, showing practical boundaries for LLM agents in security automation.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: GitHub Blog · AI & ML · github.blog