Comments (2)
- The advantage of FuzzBench is a standard tested program and uniform seed corpus. There is not much difference between API wrappers in FuzzBench and the corresponding utility programs from the official repo (e.g., FuzzBench libxml VS xmllint from libxml). We also tested other works (i.e., ecoFuzz and TortoiseFuzz) VS K-Scheduler on utility programs from official repos, and the advantage of K-Scheduler still holds. You can run more evaluations of K-Scheduler following the tutorial https://github.com/Dongdongshe/K-Scheduler/tree/main/afl_integration/build_example.
- All K-Scheduler FuzzBench settings are not based on docker. You can directly run it on any Linux platform.
- Please see tutorials on https://github.com/Dongdongshe/K-Scheduler/tree/main/libfuzzer_integration/build_example to set up experiments and see official documents about FuzzBench to learn more about wrapper in FuzzBench setting (https://google.github.io/fuzzbench/).
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Thanks.
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Related Issues (15)
- It seems not to work when set clang as below. HOT 2
- Dynamically-linked binary error on K-Scheduler and corresponding fix. HOT 7
- The problem of edge coverage result deviation HOT 2
- `ValueError: max() arg is an empty sequence` on gen_graph.py HOT 2
- Compiling harfbuzz reports an error HOT 2
- Some problems with afl integration HOT 4
- About the running of multiple fuzzing instances of the afl_integration. HOT 2
- interprocedure graph problem HOT 1
- build harfbuzz fuzzer wrapper problem HOT 1
- Problem about running K-Scheduler-based afl on an example program harfbuzz HOT 2
- list index out of range when generate a graph by the gen_graph.py HOT 4
- Segmentation fault when running afl-fuzz_kscheduler HOT 7
- 'grep "llvm.compiler.used" xxx_fix.ll' return non-zero exit status 1 HOT 2
- How do I set up the graph analysis module when running multiple K-Schedulers at the same time HOT 4
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