Comments (3)
Phase 1 is done in #95
from fuzzuf.
As written in the description, I compared 4 fuzzers: the original AFL++ (the latest version), fuzzuf aflplusplus
, fuzzuf aflplusplus --slopt
, fuzzuf rezzuf
for 3 days against 5 programs.
I launched 10 instances of each fuzzer on the workstation with 64 cores of "Intel(R) Xeon(R) Gold 6338 CPU @ 2.00GHz".
As we can see, SLOPT successfully made code coverage grow faster at least in these 5 programs.
But fuzzuf aflplusplus
is too inefficient compared to the original AFL++.
We don't know why and it should be investigated.
While intuitively we can say SLOPT generally improves the performance, some people may think 5 programs are not enough to be sure. I will add 5 more programs and take another benchmark.
from fuzzuf.
Sooo good.
I think this result is enough to close this issue.
from fuzzuf.
Related Issues (15)
- Update Dockerfile for the build ease HOT 3
- Support Intel PT-based Feedback HOT 1
- Implement WalkerDiscreteDistribution
- Fuzzing Algorithm Documentation HOT 1
- Build fails when using a specific architecture HOT 2
- Fuzzuf crashes with floating-point exception while fuzzing with aflfast/afl HOT 3
- fuzzing failed for the specific instrumented binary HOT 4
- Reduce NativeLinuxExecutor Dependencies HOT 1
- Bug on Parsing Nautilus Grammar
- A roadmap to introduce fuzzuf-cc
- The first testcase is never used in the first cycle HOT 1
- Executor should show detailed error message on crash HOT 1
- Need for our own fuzzer: rezzuf HOT 1
- Implement K-scheduler
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from fuzzuf.