Suggested grammar/token based custom mutator #1892
Unanswered
ocisecfuzzing
asked this question in
Q&A
Replies: 0 comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hi folks!
I was doing some research into fuzzing programs with structured inputs and I was wondering which custom mutator is likely to garner the best results in targeting language interpreters. I noticed that there are several options (gramatron (grammar), atnwalk (grammar), grammar_mutator (grammar), autotokens (token-based)). I've been trying to compare the effectiveness of each of these but thus far have had poor results in getting the grammar_mutator to achieve my target coverage levels. Before I attempt another mutator, could someone point me in the right direction if I'm trying to maximize coverage beyond that possible with a mutation based fuzzer? I'm not sure what state of development most of these mutators are in.
Beta Was this translation helpful? Give feedback.
All reactions