PickleFuzzer applies differential testing with a custom grammar to uncover 14 previously unknown discrepancies across Python pickle implementations, four of which bypass security scanners.
Demystify the fuzzing methods: A comprehensive survey,
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A framework combining AFL++ with SystemC-TLM virtual prototypes enables realistic stateful fuzzing of embedded software, eliminating false positives while matching state-of-the-art code coverage and performance.
citing papers explorer
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PickleFuzzer: A Case Study in Fuzzing for Discrepancies Between Python Pickle Implementations
PickleFuzzer applies differential testing with a custom grammar to uncover 14 previously unknown discrepancies across Python pickle implementations, four of which bypass security scanners.
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Stateful Embedded Fuzzing with Peripheral-Accurate SystemC Virtual Prototypes
A framework combining AFL++ with SystemC-TLM virtual prototypes enables realistic stateful fuzzing of embedded software, eliminating false positives while matching state-of-the-art code coverage and performance.