HyllFuzz uses LLMs to solve constraints and generate modified inputs for hard-to-reach branches in hybrid fuzzing, reporting 31-59% higher branch coverage than CoFuzz, Intriguer and QSYM plus seven new bugs found.
Intriguer: Field-level constraint solving for hybrid fuzzing
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Large Language Model assisted Hybrid Fuzzing
HyllFuzz uses LLMs to solve constraints and generate modified inputs for hard-to-reach branches in hybrid fuzzing, reporting 31-59% higher branch coverage than CoFuzz, Intriguer and QSYM plus seven new bugs found.