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authorhexcoder- <heiko@hexco.de>2023-12-28 22:08:05 +0100
committerhexcoder- <heiko@hexco.de>2023-12-28 22:08:05 +0100
commit25f9c1f4fb5c099ffc9cc93f7988f4fc4af9ab03 (patch)
treecaf02baa0ee84f63215000bd564d86cd79ec73bd /docs/afl-fuzz_approach.md
parent934a02f7f638d5a0505afc1bd46b4d1a827b4689 (diff)
parentb01ef97569060bb9f7451d1c2c301b5e774b8358 (diff)
downloadafl++-25f9c1f4fb5c099ffc9cc93f7988f4fc4af9ab03.tar.gz
Merge branch 'dev' of https://github.com/AFLplusplus/AFLplusplus into dev
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@@ -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.