ZXzX41ZdbW·Jun 20, 2024
In A buffer overflow in the XNU kernelgoogle
oss-fuzz-gen
Python2024–2024
google / oss-fuzz-gen · Archived
oss-fuzz-gen
LLM powered fuzzing via OSS-Fuzz.
3Distinct people
3Mentions
0Explicit recommenders
1.5KGitHub stars
What to know before exploring
What it is
LLM powered fuzzing via OSS-Fuzz.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week3 dated mentions
Observed mentions: 2024-02-03 23:08:26 UTC to 2024-06-20 21:08:02 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jan 29 | 2024-01-29 00:00:00 UTC | 2024-02-05 00:00:00 UTC | 1 | 1 | 0 |
| Feb 5 | 2024-02-05 00:00:00 UTC | 2024-02-12 00:00:00 UTC | 0 | 0 | 0 |
| Feb 12 | 2024-02-12 00:00:00 UTC | 2024-02-19 00:00:00 UTC | 0 | 0 | 0 |
| Feb 19 | 2024-02-19 00:00:00 UTC | 2024-02-26 00:00:00 UTC | 0 | 0 | 0 |
| Feb 26 | 2024-02-26 00:00:00 UTC | 2024-03-04 00:00:00 UTC | 0 | 0 | 0 |
| Mar 4 | 2024-03-04 00:00:00 UTC | 2024-03-11 00:00:00 UTC | 0 | 0 | 0 |
| Mar 11 | 2024-03-11 00:00:00 UTC | 2024-03-18 00:00:00 UTC | 0 | 0 | 0 |
| Mar 18 | 2024-03-18 00:00:00 UTC | 2024-03-25 00:00:00 UTC | 0 | 0 | 0 |
| Mar 25 | 2024-03-25 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 1 | 2024-04-01 00:00:00 UTC | 2024-04-08 00:00:00 UTC | 0 | 0 | 0 |
| Apr 8 | 2024-04-08 00:00:00 UTC | 2024-04-15 00:00:00 UTC | 0 | 0 | 0 |
| Apr 15 | 2024-04-15 00:00:00 UTC | 2024-04-22 00:00:00 UTC | 0 | 0 | 0 |
| Apr 22 | 2024-04-22 00:00:00 UTC | 2024-04-29 00:00:00 UTC | 0 | 0 | 0 |
| Apr 29 | 2024-04-29 00:00:00 UTC | 2024-05-06 00:00:00 UTC | 0 | 0 | 0 |
| May 6 | 2024-05-06 00:00:00 UTC | 2024-05-13 00:00:00 UTC | 0 | 0 | 0 |
| May 13 | 2024-05-13 00:00:00 UTC | 2024-05-20 00:00:00 UTC | 0 | 0 | 0 |
| May 20 | 2024-05-20 00:00:00 UTC | 2024-05-27 00:00:00 UTC | 0 | 0 | 0 |
| May 27 | 2024-05-27 00:00:00 UTC | 2024-06-03 00:00:00 UTC | 0 | 0 | 0 |
| Jun 3 | 2024-06-03 00:00:00 UTC | 2024-06-10 00:00:00 UTC | 0 | 0 | 0 |
| Jun 10 | 2024-06-10 00:00:00 UTC | 2024-06-17 00:00:00 UTC | 1 | 0 | 1 |
| Jun 17 | 2024-06-17 00:00:00 UTC | 2024-06-24 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
3 sourcesThe article seems rather hand-wavy and over-confident about predicting the future, but it seems worth trying.
"Search" is a generalization of "generate and test" and rejection sampling. It's classic AI. Back before the dot-com era, I took an intro to AI course and we learned about writing programs to do searches in Prolog.
The speed depends on how long it takes to generate a candidate, how long it takes to test it, and how many candidates you need to try. If they are slow, it will be slow.
An example of "human in the loop" rejection sampling is when you use an image generator and keep trying different prompts until you get an image you like. But the loop is slow due to how long it takes to generate a new image. If image generation were so fast that it worked like Google Image search, then we'd really have something.
Theorem proving and pr
Read the rest
ogram fuzzing seem like good candidates for combining search with LLM's, due to automated, fast, good evaluation functions.
And it looks like Google has released a fuzzer [1] that can be connected to whichever LLM's you like. Has anyone tried it?
[1] https://github.com/google/oss-fuzz-gen
Google/OSS-fuzz-gen: LLM powered fuzzing via OSS-Fuzz
5 points · Open discussion