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author | vanhauser-thc <vh@thc.org> | 2023-12-12 09:34:04 +0100 |
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committer | vanhauser-thc <vh@thc.org> | 2023-12-12 09:34:04 +0100 |
commit | a576f7aef42d190f969030a3efde7032d1425833 (patch) | |
tree | f98b0f0b4c94a0837572b453020ce81ac14d6893 /docs/afl-fuzz_approach.md | |
parent | ab532e7c151edaa1b563702dc26daabed09da157 (diff) | |
download | afl++-a576f7aef42d190f969030a3efde7032d1425833.tar.gz |
in-depth blog post
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. |