mulot

mulot -4285F4?logo=googlechrome&logoColor=white Agentic AI web pentester that drives a browser. An open-weights LLM GLM-5.2, Gemma or Qwen drives a real headless Chromium through a Burp-style toolkit and works a target the way a human pentester would. No frontier model, no agent running inside a...

Activation Surgery: Jailbreaking White-Box LLMs without Touching the Prompt

Most jailbreak techniques for Large Language Models LLMs primarily rely on prompt modifications, including paraphrasing, obfuscation, or conversational strategies. Meanwhile, abliteration techniques also known as targeted ablations of internal components have been used to study and explain LLM...

Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control

Large language models LLMs have transformed the way we access information. These models are often tuned to refuse to comply with requests that are considered harmful and to produce responses that better align with the preferences of those who control the models. To understand how this "censorship...