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-rw-r--r--docs/afl-fuzz_approach.md4
-rw-r--r--docs/tutorials.md5
2 files changed, 8 insertions, 1 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.
diff --git a/docs/tutorials.md b/docs/tutorials.md
index a5ee3322..0a09f6dc 100644
--- a/docs/tutorials.md
+++ b/docs/tutorials.md
@@ -21,7 +21,7 @@ training, then we can highly recommend the following:
 
 * [https://github.com/antonio-morales/Fuzzing101](https://github.com/antonio-morales/Fuzzing101)
 
-Here is a good forkflow description (and tutorial) for qemu_mode:
+Here is a good workflow description (and tutorial) for qemu_mode:
 
 * [https://airbus-seclab.github.io/AFLplusplus-blogpost/](https://airbus-seclab.github.io/AFLplusplus-blogpost/)
 
@@ -41,6 +41,9 @@ structure is), these links have you covered (some are outdated though):
 * Superion for AFL++:
   [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
 
+For a very in-depth explanation on how AFL++ works check out:
+[https://blog.ritsec.club/posts/afl-under-hood/](https://blog.ritsec.club/posts/afl-under-hood/)
+
 ## Video Tutorials
 
 * [Install AFL++ Ubuntu](https://www.youtube.com/watch?v=5dCvhkbi3RA)