FreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2)
Overview In the first installment of this series, I walked through how I leveraged large language models to assist in identifying several vulnerabilities in the FreeBSD kernel, including a stack-based buffer overflow assigned CVE-2026-3038. This raised a natural follow-up question. Can language models effectively write exploits for memory corruption vulnerabilities? This article explores that question. […]
Bypassing LLM Supervisor Agents Through Indirect Prompt Injection
Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.
Which Came First: The System Prompt, or the RCE?
During a recent penetration test, we came across an AI-powered desktop application that acted as a bridge between Claude (Opus 4.5) and a third-party asset management platform. The idea is simple: instead of clicking through dashboards and making API calls, users just ask the agent to do it for them. “How many open tickets do […]
AI-Driven Offensive Security: The Current Landscape and What It Means for Defense
The capabilities of modern AI models have advanced far beyond what most people in the security industry have fully internalized. AI-generated phishing, script writing, and basic offensive automation are getting plenty of attention, but what happens when you apply agentic AI to the full lifecycle of building, testing, and refining custom malware and command-and-control (C2) […]