FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

EUVD-2025-204305

An authentication bypass vulnerability exists in AnythingLLM v1.8.5 in via the /api/workspaces endpoint. The endpoint fails to implement proper authentication checks, allowing unauthenticated remote attackers to enumerate and retrieve detailed information about all configured workspaces. Exposed...

CVE-2025-63390

An authentication bypass vulnerability exists in AnythingLLM v1.8.5 in via the /api/workspaces endpoint. The endpoint fails to implement proper authentication checks, allowing unauthenticated remote attackers to enumerate and retrieve detailed information about all configured workspaces. Exposed...