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Author

Dan-Jun Liu

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Preprint Sep 2026

PrimSynth: An Agentic Approach to Discover, Validate, and Synthesize Exploit Primitives for Linux Kernel Vulnerabilities

Linux kernel vulnerabilities are critical to downstream systems. Despite extensive research on automated kernel exploitation, a fundamental challenge remains the conceptual gap between abstract exploit strategies and concrete technical operations. To fill this gap, this paper introduces a systematic characterization th...

Pengfei Wang, Anthea Chen, Dan-Jun Liu et al. · 0 citations
2026

SymSyz: Improving Hybrid Kernel Fuzzing With Environment Synchronization and Optimized Symbolic Execution

Hybrid kernel fuzzing combines kernel fuzzing and symbolic execution: symbolic execution resolves hard-to-reach branch conditions, while kernel fuzzing mitigates path explosion. This collaboration has shown strong potential for uncovering deep kernel vulnerabilities. However, existing approaches have not fully accounte...

Lu Xu, Baosheng Wang, Bo Yu et al. · 0 citations

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