huntglyph

huntglyph — Detect homograph attacks Homograph attacks leverage the visual similarity of characters from different writing systems e.g., Latin 'a' vs. Cyrillic 'а' to spoof domain names, filenames, or other identifiers, tricking users into believing they are interacting with a legitimate source...

analyzer

This project automates the daily tasks of Threat Intelligence Analyzer role internally without external resources' interaction. It analyzes, visualizes and structures sensitive files Malware or data by extracting features, artifacts and IoC using different modules. The output of those modules can...

lib/parse.js Component DoS

The vulnerability of the lib/parse.js component, a library for analyzing and transforming string queries in Node QS, is related to insufficient validation of input data. Exploiting this vulnerability can allow an attacker to cause service failures...

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG

Malware Family Classification MFC aims to identify the fine-grained family e.g., GuLoader or BitRAT to which a potential malware sample belongs, in contrast to malware detection or sample classification that predicts only an Yes/No. Accurate family identification can greatly facilitate automated...

CannibalRAT targets Brazil

This post was authored by Warren Mercer and Vitor Ventura Introduction Talos has identified two different versions of a RAT, otherwise known as a remote access trojan, that has been written entirely in Python and is wrapped into a standalone executable. The RAT is impacting users of a Brazilian...

yarGen - A Generator for Yara Rules (for malware researchers)

yarGen is a generator for Yara rules. What does yarGen do? The main principle is the creation of yara rules from strings found in malware files while removing all strings that also appear in goodware files. Since version 0.14.0 it uses naive-bayes-classifier by Mustafa Atik and Nejdet Yucesoy in...