Tooling

Misconfigured email auto-configuration globally, manipulating GitHub contribution histories to infiltrate supply chains, and adversarial Android malware factories.

Background Autonomous malware analysis requires moving beyond static, predefined containment environments. Modern malware actively fingerprints its execution context, checking CPUID leaves, measuring execution time with RDTSC, and probing for virtualization-specific hardware devices [6, 13]. Traditional sandboxing methodologies rely on a one-size-fits-all containerization approach, which typically embeds an agent inside the guest OS to monitor API calls and system behavior [1, 12]. This in-guest presence provides a highly visible artifact for evasive malware to detect and subvert. ...

A layered analysis of threats to Kubernetes environments, exploring container escapes, control plane vulnerabilities, and real-world case studies.

A deep dive into TypeSafe AI’s Jev, exploring its role as a System One model that returns calibrated, typed decisions, and tracing the long history of alternative approaches in the field.