ContextualJailbreak: Evolutionary Red-Teaming Via Simulated Conversational Priming

Large language models LLMs remain vulnerable to jailbreak attacks that bypass safety alignment and elicit harmful responses. A growing body of work shows that contextual priming, where earlier turns covertly bias later replies, constitutes a powerful attack surface, with hand-crafted multi-turn...

PT-2025-25451 · Undefined · Undefined

CVE-2025-46167 JSTargetFuzzer-V2 JSTargetFuzzer-v2.0 is a fuzzing approach that incorporates novel history-based guidance, using tailored seeds and custom mutation operators. It is built on top of the Fuzzilli fra... https://t.co/TUq3tMABu2...

PT-2025-25453 · Undefined · Undefined

CVE-2025-46169 JSTargetFuzzer-V2 JSTargetFuzzer-v2.0 is a fuzzing approach that incorporates novel history-based guidance, using tailored seeds and custom mutation operators. It is built on top of the Fuzzilli fra... https://t.co/3dWy3uR39j...

PT-2025-25452 · Undefined · Undefined

CVE-2025-46168 JSTargetFuzzer-V2 JSTargetFuzzer-v2.0 is a fuzzing approach that incorporates novel history-based guidance, using tailored seeds and custom mutation operators. It is built on top of the Fuzzilli fra... https://t.co/ioVUFu93Dp...

WAF-A-MoLE - A Guided Mutation-Based Fuzzer For ML-based Web Application Firewalls

A guided mutation-based fuzzer for ML-based Web Application Firewalls, inspired by AFL and based on the FuzzingBook by Andreas Zeller et al. Given an input SQL injection query, it tries to produce a semantic invariant query that is able to bypass the target WAF. You can use this tool for assessin...