PoVSmith automates PoV test generation for library vulnerabilities in apps via call paths and LLM feedback, correctly identifying 96% of entry points and producing effective attack tests in 55% of 33 evaluated Java pairs.
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GitHub Security Advisories follow two review-latency regimes—a fast path for repository advisories and a slow path for NVD-first advisories—explained by a queueing model of the processing pipeline.
LiveFuzz extends directed greybox fuzzing with abstract path mapping and risk-based mutation to expose library vulnerabilities from client programs on a 61-case dataset, reaching more target paths and triggering three vulnerabilities no baseline found.
citing papers explorer
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Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
PoVSmith automates PoV test generation for library vulnerabilities in apps via call paths and LLM feedback, correctly identifying 96% of entry points and producing effective attack tests in 55% of 33 evaluated Java pairs.
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Characterizing and Modeling the GitHub Security Advisories Review Pipeline
GitHub Security Advisories follow two review-latency regimes—a fast path for repository advisories and a slow path for NVD-first advisories—explained by a queueing model of the processing pipeline.
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Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
LiveFuzz extends directed greybox fuzzing with abstract path mapping and risk-based mutation to expose library vulnerabilities from client programs on a 61-case dataset, reaching more target paths and triggering three vulnerabilities no baseline found.