MDIGuess: Improving Targeted Password Guessing by Combining Multi-Dimensional Heterogeneous Information
inforesearchPeer-Reviewed
securityresearch
Source: IEEE Xplore (Security & AI Journals)August 12, 2026
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.
Classification
Attack Type
Data Extraction
Attack SophisticationAdvanced
Impact (CIA+S)
confidentiality
AI Component TargetedModel
Related Issues
Monthly digest — independent AI security research
Original source: http://ieeexplore.ieee.org/document/11653423
First tracked: August 20, 2026 at 08:03 PM
Classified by LLM (prompt v3) · confidence: 82%