YaraHunter Logo

YaraHunter

0
Free
Visit Website

YaraHunter scans container images, running Docker containers, and filesystems to find indicators of malware. It uses a YARA ruleset to identify resources that match known malware signatures, and may indicate that the container or filesystem has been compromised. YaraHunter can be used in the following ways: - At build-and-test: scan build artifacts in the CI/CD pipeline, reporting on possible indicators of malware - At rest: scan local container images, for example, before they are deployed, to verify they do not contain malware - At runtime: scan running docker containers, for example, if you observe unusual network traffic or CPU activity - Against filesystems: at any time, YaraHunter can scan local filesystems for indicators of compromise Key capabilities: - Scan running and at-rest containers - Scan filesystems - Scan during CI/CD build operations Run anywhere: highly-portable, docker container form factor Designed for automation: easy-to-deploy, easy-to-parse JSON output YaraHunter is a work-in-progress (check the Roadmap and issues list), and will be integrated into the ThreatMapper threat discovery platform. We welcome any contributions to help improve this tool.

FEATURES

ALTERNATIVES

YARA syntax highlighting for Gtk-based text editors

A powerful tool for detecting and identifying malware using a rule-based system.

A collection of Android Fakebank and Tizi samples for analyzing spyware on Android devices.

FLARE-VM is a collection of software installation scripts for Windows systems designed for setting up and maintaining a reverse engineering environment on a virtual machine.

A serverless, real-time, and retroactive malware detection tool that scans files with YARA rules and alerts incident response teams.

Discontinued project for file-less persistence, attacks, and anti-forensic capabilities on Windows 7 32-bit systems.

A tool for searching a Git repository for interesting content

A command-line tool for identifying NoSQL injection vulnerabilities in MongoDB databases