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LLM-based BigSleep outperforms traditional fuzzer Fuzzilli in finding V8 JavaScript engine bugs

By PulseAugur Editorial · [1 sources] ·

A comparison between two automated tools, Fuzzilli and BigSleep, for finding vulnerabilities in Google's V8 JavaScript engine revealed that BigSleep, an LLM-based system, discovered more bugs than Fuzzilli, a generative fuzzer, over a six-month period. While there was some overlap in the vulnerabilities found, a significant portion were unique to each method. The findings suggest that LLMs are becoming effective at bug detection but are complementary to traditional fuzzing techniques, and both approaches are recommended for comprehensive vulnerability discovery. AI

IMPACT Suggests LLMs are effective bug-finding tools complementary to traditional fuzzing, encouraging dual approaches for enhanced security.

RANK_REASON Comparison of two automated tools for software vulnerability detection. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Lobsters — AI tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-based BigSleep outperforms traditional fuzzer Fuzzilli in finding V8 JavaScript engine bugs

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2 / 100
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Comparison of two automated tools for software vulnerability detection. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. Lobsters — AI tag TIER_1 English(EN) · projectzero.google via ni5arga ·

    Fuzzers vs. AI: Comparing Fuzzilli and BigSleep on JavaScript Engines

    <p><a href="https://lobste.rs/s/rswyzt/fuzzers_vs_ai_comparing_fuzzilli">Comments</a></p>

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