Stars
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
The interactive graphing library for Python ✨ This project now includes Plotly Express!
An advanced memory forensics framework
The FLARE team's open-source tool to identify capabilities in executable files.
Unicorn is a simple tool for using a PowerShell downgrade attack and inject shellcode straight into memory. Based on Matthew Graeber's powershell attacks and the powershell bypass technique present…
FLARE Obfuscated String Solver - Automatically extract obfuscated strings from malware.
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Actionable analytics designed to combat threats
Logging Made Easy (LME) is a no-cost and open logging and protective monitoring solution serving all organizations.
FATT /fingerprintAllTheThings - a pyshark based script for extracting network metadata and fingerprints from pcap files and live network traffic
Cuckoo 3 is a Python 3 open source automated malware analysis system.
Python library to parse and convert Sigma rules into queries (and whatever else you could imagine)
A framework for orchestrating forensic collection, processing and data export
DFIQ is a collection of investigative questions and the approaches for answering them
Detect AI-generated text [relatively] quickly via compression ratios
Open Discourse is the first fully comprehensive corpus of the plenary proceedings of the federal German Parliament (Bundestag).
🔤 Measure edit distance based on keyboard layout
companion to our book of the same name, ISBN: 9781394199884
Converting data from services like Censys and Shodan to a common data model
FLARE floss applied to all unpacked+dumped samples in Malpedia, pre-processed for further use.
pySigma Elasticsearch backend
Cisco IOS XE implant scanning & detection (CVE-2023-20198, CVE-2023-20273)
This project is to score IoCs based on the LowRegret model.