{"data":{"id":"84cd38e0-0be7-44dd-b435-44bb86ee7f2a","title":"PromptFuzz: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs","summary":"PromptFuzz is a testing framework that applies software fuzzing techniques to assess how robust LLMs are against prompt injection attacks. It runs in two stages, a prepare phase that selects seed prompts and collects few-shot examples, and a focus phase that generates diverse prompt injections. In a real-world competition it ranked 7th of over 4000 participants within 2 hours, and 92% of 50 popular LLM-integrated applications were exploitable with its prompts.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11405858","publishedAt":"2026-02-23T13:19:07.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["LLM-integrated online applications","Coze","OpenAI","LLM-based resume judging applications"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-02-23T13:19:07.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","safety"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":["AML.T0051"]}}