{"data":{"id":"84958b3a-b40c-4d67-9e03-491db2de53da","title":"Urey-ML: A Machine Learning-Based Distance Deception Attack Against Apple UWB Interaction Frameworks","summary":"Researchers developed Urey-ML, a machine learning-based attack that can trick Apple's Ultra-Wideband (UWB, a wireless technology for precise distance measurement) systems into reporting false distances between devices. The attack works by exploiting two weaknesses: an unprotected message during key negotiation (the process of establishing secure communication) that allows the attacker to bypass encryption, and a reinforcement learning algorithm (a type of AI that learns by trial and error) that generates fake signals mimicking normal human movement to fool Apple's defense mechanism.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11422978","publishedAt":"2026-03-06T13:18:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedVendors":["Apple"],"affectedVendorsRaw":["Apple"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-06T13:18:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}