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HTTP Headers Hashing (HHHash) is a technique used to create a fingerprint of an HTTP server based on the headers it returns.
For all these times you're asking yourself "what is this panel again?"
A curated list of GPT agents for cybersecurity
Collection of Remote Management Monitoring tool artifacts, for assisting forensics and investigations
vulnerability detection in python source code with LSTM networks
A few seccomp samples, that can be run in a vagrant VM
A blazing fast and fully configurable Blind SQL Injection optimization and automation framework.
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
This repository contains Open Source freely usable Threat Intel feeds that can be used without additional requirements. Contains multiple types such as IP, URL, CVE and Hash.
✨ A curated list of awesome threat detection and hunting resources 🕵️♂️
Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifyin…
A natural language interface for computers
Vovk is framework of tools that include a WinDbg extension that generates in-depth YARA rules for malware.
An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
Some resources to facilitate my blog on auditd for security monitoring
Some of my rough notes for Docker threat detection
Effort to list and aggregate known malicious Google Chrome Extension IDs
A framework for synthesizing lateral movement login data.
Simple Workspace Attack Tool (SWAT) is a tool for simulating malicious behavior against Google Workspace in reference to the MITRE ATT&CK framework.
A collection of sources of indicators of compromise.
DeRF (Detection Replay Framework) is an "Attacks As A Service" framework, allowing the emulation of offensive techniques and generation of repeatable detection samples in the cloud. Built on Google…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming