I'm sorry but 1024 bytes for an x86 Hello World PE is still way too big and bloated...

🚨 CRITICAL: Active supply chain attack on axios -- one of npm's most depended-on packages. The latest axios@1.14.1 now pulls in plain-crypto-js@4.2.1, a package that did not exist before today. This is a live compromise. This is textbook supply chain installer malware. axios has 100M weekly downloads. Every npm install pulling the latest version is potentially compromised right now. Socket AI analysis confirms this is malware. plain-crypto-js is an obfuscated dropper/loader that: • Deobfuscates embedded payloads and operational strings at runtime • Dynamically loads fs, os, and execSync to evade static analysis • Executes decoded shell commands • Stages and copies payload files into OS temp and Windows ProgramData directories • Deletes and renames artifacts post-execution to destroy forensic evidence If you use axios, pin your version immediately and audit your lockfiles. Do not upgrade.

We fine-tuned an 8B model to pop a GOAD domain…using only synthetic training data. No real networks. No frontier model distillation. Just a world model that simulates AD environments and generates realistic pentesting trajectories. See how @shncldwll and @0xdab0 did it: dreadnode.io/blog/worlds-a-s…

"Offense and defense aren't peers. Defense is offense's child." - @JohnLaTwC We built an LLM-powered AMSI provider and paired it against a red team agent. Then, @0xdab0 wrote a blog about it: dreadnode.io/blog/llm-powere… A few observations from the experiment: >>> To advance, we must generate unique, ground-truth datasets. >>> Defenses will need to live at the edge. >>> The real potential lies in the interaction between red and blue. >>> This is a blueprint for generative adversarial reinforcement learning.