Comments (4)
Thanks. I am still reorganizing it.
I will let you know when it is ready.
from t-fuzz.
The paper is very interesting and we want to integrate this as part of https://github.com/google/oss-fuzz and benefit the larger open source software community. Looking forward to code release.
from t-fuzz.
Code will be released during Oakland, we're working on packaging, readme, and documentation.
Abhishek, please reach out via email, we'd be happy to dive into this. T-Fuzz is a new mechanism to trigger deeper bugs. The two main issues that will need some work are:
- better mapping from modified program to original program to reduce triaging cost (especially for large and complex programs symbolic execution/constraint tracking reaches its limit when mapping crash paths back to the original program)
- selection strategy for when the mutate, how much to mutate, and how to schedule mutations
from t-fuzz.
It would also be interesting to integrate T-Fuzz with https://github.com/google/fuzzer-test-suite so that we can A/B test it against other engines.
from t-fuzz.
Related Issues (19)
- Example issue HOT 4
- Initial seeds HOT 1
- An error in create_dict in utils.py
- afl master only run first cycle? HOT 2
- tfuzz did not consider cannot-renamed programs HOT 4
- TFuzz take too long time for create_dict when fuzzing big binaries
- T-Fuzz generated too many transformed binaires which take too much disk space
- Problems during installation HOT 2
- T-Fuzz used wrong code to filter crashing seed?
- Fuzzer says no program left HOT 3
- Got error when I tried to fuzz the target_programs just like examples HOT 7
- Dockerfile request HOT 2
- ModuleNotFoundError: No module named 'ah' , dpkt
- No matching distribution found for pkg-resources==0.0.0 HOT 2
- verison of capstone does not support MIPS instruction HOT 3
- T-Fuzz was aborted when fuzz the target_programs like examples HOT 3
- AFL Error: Suboptimal CPU scaling governor HOT 4
- T-Fuzz stuck there. HOT 3
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