Malware

ransomware

0 mentions in 7 days · 2 in 30 days · 2 total · first seen Aug 21, 2026 · last 11d ago

Timeline2 articles

Cost-Aware Hierarchical Multi-Agent Ransomware Detection and Family Attribution

Researchers propose a hierarchical multi-agent system that cuts ransomware analysis cost by 44% while reaching 96.57% detection accuracy.

An arXiv paper (2609.04820) presents a Cost-Aware Hierarchical Multi-Agent System (HMAS) for adaptive ransomware detection and family attribution. Specialized agents run static analysis first, with dynamic and memory modalities invoked only when confidence is insufficient or specialists disagree; a Meta Orchestrator balances accuracy against computational cost via a cost model, and a locally deployed LLM verifies difficult cases. The system achieved 96.57% accuracy, 0.96 F1-score, and 0.99 ROC-AUC for binary detection, and 0.90 macro-F1 for multiclass family attribution. Average analysis cost dropped 43.97% versus exhaustive analysis, with 56.05% of cases resolved using static evidence alone.

arXiv cs.CRSep 4, 07:17 UTC · 11d agoResearch

Endpoint Blind Spots: The 5 Places Ransomware Hides Before It Detonates

Cyble outlines five endpoint blind spots where ransomware operators stage access, steal credentials, and move laterally before detonating.

This educational write-up explains that ransomware usually has a long pre-execution phase during which attackers establish access, steal credentials, move laterally, and identify valuable systems. Cyble argues this activity often blends with legitimate administration, letting attackers evade endpoint detection. The piece lists five endpoint security blind spots defenders should monitor before encryption, extortion, or data theft begins.

CybleAug 21, 07:51 UTC · 25d agoResearch

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product endpoint security 1 vendor Cyble 1

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