QGrain/SyzGPT
[ISSTA 2025] Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG
This tool helps security researchers and kernel developers uncover vulnerabilities in the Linux kernel. It takes a corpus of existing system call programs and, using an AI model, generates new, effective test cases for system calls that are rarely exercised. The output is a set of specialized test programs that can improve code coverage and find bugs that are difficult to detect with traditional fuzzing methods.
Use this if you are performing kernel security research or development and need to generate more effective test cases for low-frequency system calls to find elusive bugs and improve code coverage.
Not ideal if you are a general software developer or penetration tester not focused on Linux kernel security or deep system call fuzzing.
Stars
52
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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