{"data":{"id":"8f8606be-7568-4c75-8ead-823d610462f4","title":"MDIGuess: Improving Targeted Password Guessing by Combining Multi-Dimensional Heterogeneous Information","summary":"MDIGuess is an AI system that improves targeted password guessing attacks by combining multiple types of information about a user, including their past passwords, personal details (PII, or personally identifiable information), and passwords leaked from other services. The system uses an autoregressive neural framework (a type of AI that predicts passwords one piece at a time based on patterns) and achieves a 35% success rate cracking passwords within 1,000 guesses, significantly outperforming existing attack methods.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11653423","publishedAt":"2026-08-12T13:16:39.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-08-12T13:16:39.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.82,"researchCategory":"peer_reviewed","atlasIds":null}}