{"data":{"id":"6c7d595e-3d44-4484-993f-3a5ea26b1301","title":"MobileInject: Evaluating Reasoning-to-Action Security of MLLM-Based Mobile Agents under Cross-Modal Consistency Injection","summary":"MobileInject is a benchmark for testing MLLM-based mobile agents against multimodal injection attacks, where malicious objectives are embedded in cross-application content. It covers 11 scenarios, 9 security-risk categories and 108 executable risk instances, and adds Cross-Modal Consistency Injection plus two attack methods, Multi-Role Collaborative Deception and Reasoning-Camouflage Injection. The authors report that mobile agents are broadly vulnerable, with many failures arising from reasoning hijacking at early stages.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.23307v1","publishedAt":"2026-10-16T11:10:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["MLLM-based mobile agents"],"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":"2026-10-16T11:10:30.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"preprint","atlasIds":["AML.T0051"]}}