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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
Attackers use BitLocker encryption and office printers to extort organizations in Latin America for small ransoms.
AI-generated code introduces an average of 15 vulnerabilities per codebase, but the actual risk varies significantly depending on the programming language, framework, and use case. Certain frameworks amplify the risk because they handle sensitive operations like authentication, database queries, or input validation that are particularly error-prone when generated by models without full application context.
AI-generated code introduces an average of 15 vulnerabilities per codebase, but the actual risk varies significantly depending on the programming language, framework, and use case. Certain frameworks amplify the risk because they handle sensitive operations like authentication, database queries, or input validation that are particularly error-prone when generated by models without full application context.
The article describes how attackers are poisoning AI coding assistant configuration files to achieve silent persistence and spread across organizations. The Mini Shai-Hulud worm targets config files of tools like Claude Code, Copilot, and Cursor.
Tenable reveals that attackers now target configuration files for AI coding assistants, such as settings.json and .cursorrules, to inject persistent malware. This new worm class evades AI-based scanners and propagates through organizational repositories by leveraging developer workflows.
The article describes how attackers are poisoning AI coding assistant configuration files to achieve silent persistence and spread across organizations. The Mini Shai-Hulud worm targets config files of tools like Claude Code, Copilot, and Cursor.