AI SAST vs traditional SAST, compared: how reasoning changes detection of authorization flaws, false positives, triage, fixes, speed, and cost ...
A 450-task benchmark built from real CVEs shows even the best AI coding agent writes code that's both working and secure only ...
AI code review vs SAST: how detection, bug coverage, determinism, false positives, and cost differ, and why combining them ...
Traditional Java decompilers (like JD-GUI, standalone Fernflower, or CLI CFR) are built for manual human inspection: they dump entire archives to disk, emit thousands of lines of code into a single ...
For injection attacks (SQLi, SSTI, SSRF, XXE, command injection, PHP type juggling, PHP file inclusion), see server-side.md. For deserialization attacks (Java, Pickle) and race conditions, see ...
Le CERT-FR a publié le 30 octobre un avis sur trois vulnérabilités touchant des composants de l’écosystème MongoDB. Les ...
Black Hat 2014 Antoine Delignat-Lavaud präsentierte auf der Black Hat 2014 mehrere neue Sicherheitsprobleme in HTTPS, die zum ...
Studie vom Oktober 2026: „Claude Opus 5.5“ von Anthropic und „GPT-6-Sol“ von OpenAI führen gemeinsam mit einem Rekordwert von ...
Veracode, the pioneer in application risk management, announces a jump from 56 percent to 62 percent in overall AI-generated ...
"Veracode has found the most significant improvement in AI code security since 2025, with a jump from 56% to 62% in the average pass rate, alongside a drop in vulnerabilities from 44% to 38%." ...