Evaluation of our prototype JIGSAW shows that our approach can achieve three orders of magnitude higher search throughput than existing fuzzers and can scale to ...
In this work, we present a novel design to improve the search throughput: by evaluating newly generated inputs with JIT-compiled path constraints.
In this work, we present a novel design to improve the search throughput: by evaluating newly generated inputs with JIT-compiled path constraints.
Duration: 18:31
Posted: Aug 3, 2022
Posted: Aug 3, 2022
May 3, 2022 · One of the most important factors that affect a fuzzer's performance is its throughput (i.e., how many inputs can be evaluated per unit ...
Using program analysis and constraint solving, DSE can generate inputs that effectively penetrate through the path constraints toward the target sites.
Explore efficient and scalable path constraints fuzzing techniques with Jigsaw, enhancing software testing and vulnerability detection for improved system ...
Constraints Files. objdump · size · readelf · nm · mbedtls · openssl · tcpdump · libjpeg · libpng · tiff2pdf · libxml · vorbis · file · sqlite. Seeds. seeds ...
Duration: 1:01
Posted: May 10, 2022
Posted: May 10, 2022
JIGSAW is a fuzzing-based path constraint solver. Contribute to R-Fuzz/jigsaw development by creating an account on GitHub.
Missing: Scalable | Show results with:Scalable