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Persistent DFIR Chaos Monkeys: Experimenting with Headlong

Persistent DFIR Chaos Monkeys: Experimenting with Headlong Goals For the past week or so I've been experimenting with local models in the home lab using Headlong a microharness for persistent agents. The goals for this experiment have been kind of modest:  Have fun exploring the "inner life" of Headlong's Persistent agent  Continuously explore new interfaces and harnesses for AI which might shape future product directions Seriously explore Hugging Face's lessons learned with commercial API Refusals and begin exploring "Local Open-Weight Models" Explore tasking out DFIR tasks to various agents as a potential pathway to scale a response by an army of robots Lab Notes Initially the planned architecture was to have a headless Debian minimal install running, ollama and serving up qwen3:8b to a Headlong docker instance. This worked but it was painfully slow without good GPUs in my old laptop's hardware. A truly independent and capable open-weight model run...

Blueteam Blues 2026

Blueteam Blues 2026 Coming out of Black Hat, the cybersecurity industry is abuzz about autonomous and agentic security. Whether it's agentic triage, autonomous SOC, autonomous vuln management, or attack tools, there is a ton of focus on how devastatingly effective these thinking machine super computers are against the doomed legacy security models of most corporations. A lot of this is driven by the excitement of sharks who see blood in the water, mixed with the satisfaction of "I told you so" from defenders and researchers who have been saying our computer security sucks for the last 30 years. In cybersecurity fear sells, wallets will open, blinky lights will blink, and our faith in the next savior will erode as zero trust becomes explicit trust exception by exception. Industry insiders closely guard our industry's open secret: that "secure" describes the mental and emotional well-being of an animal, not the runtime state of a Rube Goldberg machine harnessi...

Stored Flammables: How Local Privilege Escalation Threatens Your Security Program

  TL;DR: LPE scores low in vulnerability management because it requires local access to exploit. That's the wrong frame once an attacker already has a foothold: LPE invalidates your security architecture and compresses lateral movement time to near zero. Here's something you might not think about: Building codes save more lives from fire than firefighters do. When you look at the sheetrock in a modern home, you don't stop to consider that someone did fire resistance testing. The code works because it's invisible, unglamorous, and does its job before the fire starts. Security architecture works the same way. When a network is built right, attacks can't spread quickly. Incidents get mitigated down to inconveniences. Nobody notices. Most security programs never evaluate what happens when flammable materials end up somewhere they weren't designed to be stored. Cluttered garages degrade fire resistance. A building's fire resistance rating is calibrated fo...

Copy Fail / Dirty Frag: Learning the Lessons of Tomorrow Today

TL;DR: The past week was an AI-empowered security disruption that was built on capabilities already surpassed. Reflect on your Copy Fail and Dirty Frag response while it's fresh. Flag every extraordinary effort, every gap. Design tomorrow's response like you'll need to do this every day. You will. Copy Fail (CVE-2026-31431) is a Linux kernel local privilege escalation: an unprivileged local user to root, immediate, on all major distributions. CISA added it to their Known Exploited Vulnerabilities (KEV) catalog two days after disclosure, the agency's clearest signal that a vulnerability is being actively exploited and needs immediate attention, with a May 15 federal remediation deadline. Before that deadline closed, Dirty Frag dropped: a chained exploit (CVE-2026-43284, CVE-2026-43500) extending the same bug class, bypassing the Copy Fail mitigation entirely, public PoC, no patch at disclosure. Same capability. Not on the KEV catalog. Both were found using AI-assisted r...