Rooba
/
oss-fuzz
mirror of https://github.com/google/oss-fuzz.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Add some more details to metrics for post

This commit is contained in:
Oliver Chang 2024-05-27 10:08:53 +08:00 committed by GitHub
parent 44e9ababcb
commit 2aeec5fc73
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
infra/build/blog/content/posts/introducing-llm-based-harness-synthesis-for-unfuzzed-projects.md
View File

@ -16,7 +16,7 @@ categories = [
As part of the OSS-Fuzz-Gen project, we’ve been working on generating fuzzing harnesses for OSS-Fuzz projects with the goal of improving fuzzing coverage and unearthing more vulnerabilities.
Results previously published from our ongoing work described in our [blog post](https://security.googleblog.com/2023/08/ai-powered-fuzzing-breaking-bug-hunting.html) showed promising results, with absolute coverage increases of up to 35% across several projects, and 6 new vulnerabilities discovered. However, this work only applied to projects already integrated into OSS-Fuzz as it uses the existing fuzzing build setups scripts in the given OSS-Fuzz project.
Results previously published from our ongoing work described in our [blog post](https://security.googleblog.com/2023/08/ai-powered-fuzzing-breaking-bug-hunting.html) showed promising results, with absolute coverage increases of up to 35% across over 160 OSS-Fuzz projects, and [6 new vulnerabilities](https://github.com/google/oss-fuzz-gen/?tab=readme-ov-file#bugs-discovered) discovered. However, this work only applied to projects already integrated into OSS-Fuzz as it uses the existing fuzzing build setups scripts in the given OSS-Fuzz project.
Recently, we experimented with generating fuzzing harnesses for arbitrary C/C++ software projects, using the same LLM techniques.