{"data":{"id":"db9902a2-d372-406b-ba77-677df183b99c","title":"What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection Attacks","summary":"Researchers studied how targets of prompt-injection attacks reuse and respond to attacks they received, using 563,349 attack records from Tensor Trust, an online game where players defended and attacked LLM-guarded accounts. Targets reused attacks mainly when they had broken a defense: within a week they reused 10.0% of successful attacks versus 0.03% of matched attacks, and breaches were followed by defense changes that made same-family attacks 24.5 percentage points less successful. Previously received texts accounted for 23.2% of the successful hijacks analyzed.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.36422v1","publishedAt":"2026-10-27T00:04:45.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["Tensor Trust"],"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":"2026-10-27T00:04:45.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":["AML.T0051"]}}