{"data":{"id":"7ac5b200-5cc9-4fef-9413-b233cf1f4a35","title":"An Exploration of Attacks on AI Agent Systems","summary":"This paper investigates how prompt injection attacks can exploit both direct user inputs and inter-agent communication to leak sensitive information and trigger cross-agent infections. Its tests mainly highlight vulnerabilities in single-agent systems, and the authors extend the attacks to multi-agent frameworks to examine how weaknesses propagate across agents. The findings stress the need for more robust defenses as AI agents spread into real-world workflows.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.12524v1","publishedAt":"2026-10-08T02:29:20.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-10-08T02:29:20.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"preprint","atlasIds":["AML.T0051"]}}