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| author | van Hauser <vh@thc.org> | 2023-12-15 09:29:11 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-12-15 09:29:11 +0100 |
| commit | 108fb0b29ad1586e668ba23e23a0eb1a13c45c49 (patch) | |
| tree | 28a5f5091317e9cb7d9151e53f33c7b56cec552b /docs/afl-fuzz_approach.md | |
| parent | ef706ad668b36e65d24f352f5bcee22957f5f1cc (diff) | |
| parent | 8a7705aedbb759dd8ff331d47a99cc6bbc17902b (diff) | |
| download | afl++-108fb0b29ad1586e668ba23e23a0eb1a13c45c49.tar.gz | |
Merge pull request #1933 from AFLplusplus/dev v4.09c
push to stable
Diffstat (limited to 'docs/afl-fuzz_approach.md')
| -rw-r--r-- | docs/afl-fuzz_approach.md | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/docs/afl-fuzz_approach.md b/docs/afl-fuzz_approach.md index 7d18b178..9ea06325 100644 --- a/docs/afl-fuzz_approach.md +++ b/docs/afl-fuzz_approach.md @@ -5,6 +5,10 @@ instrumentation-guided genetic algorithm. It uses a modified form of edge coverage to effortlessly pick up subtle, local-scale changes to program control flow. +Note: If you are interested in a more current up-to-date deep dive how AFL++ +works then we commend this blog post: +[https://blog.ritsec.club/posts/afl-under-hood/](https://blog.ritsec.club/posts/afl-under-hood/) + Simplifying a bit, the overall algorithm can be summed up as: 1) Load user-supplied initial test cases into the queue. |