{"data":{"id":"e92b7095-3ab3-4da3-9f04-f2b621e2047c","title":"AGFPS: An Automated Gradient-Free Framework for Prompt Stealing","summary":"Researchers present AGFPS, an automated gradient-free framework that uses evolutionary optimization to steal system prompts from LLM applications. The method treats prompt stealing as a discrete optimization problem, with adversarial queries evolved through elite retention, selection, adaptive crossover and mutation. It reports a 95.2% exact system prompt stealing success rate and outperforms gradient-based methods in 80.6% of scenarios, with queries that transfer across models and remain robust against various defenses.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11425813","publishedAt":"2026-03-09T13:17:52.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"low","attackType":["data_extraction"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["LLM applications","mainstream LLMs"],"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":"2026-03-09T13:17:52.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}