Unveiling the Black Box: a Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents

Reinforcement Learning RL agents are increasingly used to simulate sophisticated cyberattacks, but their decision-making processes remain opaque, hindering trust, debugging, and defensive preparedness. In high-stakes cybersecurity contexts, explainability is essential for understanding how...

USN-6709-1 openssl1.0 vulnerabilities

It was discovered that checking excessively long DH keys or parameters may be very slow. A remote attacker could possibly use this issue to cause OpenSSL to consume resources, resulting in a denial of service. CVE-2023-3446 After the fix for CVE-2023-3446 Bernd Edlinger discovered that a large q...