FakeNet Genie: Improving Dynamic Malware Analysis with Cheat Codes for FakeNet-NG

As developers of the network simulation tool FakeNet-NG, reverse engineers on the FireEye FLARE team, and malware analysis instructors, we get to see how different analysts use FakeNet-NG and the challenges they face. We have learned that FakeNet-NG provides many useful features and solutions of...

New FakeNet-NG Feature: Content-Based Protocol Detection

I Matthew Haigh recently contributed to FLARE’s FakeNet-NG network simulator by adding content-based protocol detection and configuration. This feature is useful for analyzing malware that uses a protocol over a non-standard port; for example, HTTP over port 81. The new feature also detects and...

New FakeNet-NG Feature: Content-Based Protocol Detection

I Matthew Haigh recently contributed to FLARE’s FakeNet-NG network simulator by adding content-based protocol detection and configuration. This feature is useful for analyzing malware that uses a protocol over a non-standard port; for example, HTTP over port 81. The new feature also detects and...

The Windows Malware Analysis Distribution: flare-vm

FLARE VM is a freely available and open sourced Windows-based security distribution designed for reverse engineers, malware analysts, incident responders, forensicators, and penetration testers. Inspired by open-source Linux-based security distributions like Kali Linux, REMnux and others, FLARE V...

Introducing Linux Support for FakeNet-NG: FLARE’s Next Generation Dynamic Network Analysis Tool

Introduction In 2016, FLARE introduced FakeNet-NG, an open-source network analysis tool written in Python. FakeNet-NG allows security analysts to observe and interact with network applications using standard or custom protocols on a single Windows host, which is especially useful for malware...

Introducing Linux Support for FakeNet-NG: FLARE’s Next Generation Dynamic Network Analysis Tool

Introduction In 2016, FLARE introduced FakeNet-NG, an open-source network analysis tool written in Python. FakeNet-NG allows security analysts to observe and interact with network applications using standard or custom protocols on a single Windows host, which is especially useful for malware...

Introducing Linux Support for FakeNet-NG: FLARE’s Next Generation Dynamic Network Analysis Tool

Introduction In 2016, FLARE introduced FakeNet-NG, an open-source network analysis tool written in Python. FakeNet-NG allows security analysts to observe and interact with network applications using standard or custom protocols on a single Windows host, which is especially useful for malware...

Analyzing the Malware Analysts – Inside FireEye’s FLARE Team

At the Black Hat USA 2016 conference in Las Vegas last week, I was fortunate to sit down with Michael Sikorski, Director, FireEye Labs Advanced Reverse Engineering FLARE Team. During our conversation we discussed the origin of the FLARE team, what it takes to analyze malware, Michael’s book...

Analyzing the Malware Analysts – Inside FireEye’s FLARE Team

At the Black Hat USA 2016 conference in Las Vegas last week, I was fortunate to sit down with Michael Sikorski, Director, FireEye Labs Advanced Reverse Engineering FLARE Team. During our conversation we discussed the origin of the FLARE team, what it takes to analyze malware, Michael’s book...

Dynamic Network Analysis Tool: FakeNet-NG

Dynamic Network Analysis Tool FakeNet-NG is a next generation dynamic network analysis tool for malware analysts and penetration testers. It is open source and designed for the latest versions of Windows. FakeNet-NG is based on the excellent Fakenet tool developed by Andrew Honig and Michael...

FakeNet-NG: Next Generation Dynamic Network Analysis Tool

As a reverse engineer on the FLARE FireEye Labs Advanced Reverse Engineering team, I regularly perform basic dynamic analysis of malware samples. The goal is to quickly observe runtime characteristics by running binaries in a safe environment. One important task during dynamic analysis is to...