Malware Analysis

This blog is the first in a 3 part series that will provide an in-depth technical analysis on the H1N1 malware. I’ll be looking at how H1N1 has evolved, its obfuscation, analyzing its execution including new information stealing and user account control bypass capabilities, and finally exploring how…

Cisco Systems is participating in the Federal Law Enforcement Training Center’s (FLETC) Cybercrime Conference, held July 6-8, 2016, in Glynco, Georgia. The purpose of this event is to foster education and awareness of the current threats and innovations that may impact today’s law enforcement office…

The post was authored by Mariano Graziano. Executive Summary Attacks have grown more and more complex over the years. The evolution of the threat landscape has demonstrated this where adversaries have had to modify their tactics to bypass mitigations and compromise systems in response to better miti…

The post was authored by Ben Baker. Qbot, AKA Qakbot, has been around for since at least 2008, but it recently experienced a large surge in development and deployments. Qbot primarily targets sensitive information like banking credentials. Here we are unveiling recent changes to the malware that h…

Most malware analysis technologies, like sandboxes, put some sort of hook or software inside their analysis environment in order to observe what is actually happening. This could be a specific DLL file, or a debugger. The problem with this approach is that malware authors are aware of it, they look…

In March 2015, Cisco created the AMP Threat Grid for Law Enforcement Program, empowering state and local law enforcement agencies with its dynamic malware analysis and threat intelligence platform. Cisco has renewed the program and made it a permanent part of Cisco Gives. Law Enforcement investigato…

This post is authored by Andrea Allievi and Holger Unterbrink Executive Summary Ransomware is malicious software that is designed to hold users’ files (such as photos, documents, and music) for ransom by encrypting their contents and demanding the user pay a fee to decrypt their files. Typical…

This post is authored by Earl Carter & Holger Unterbrink. Overview Talos is often tasked with mapping the backend network for a specific piece of malware. One approach is to first reverse engineer the sample and determine exactly how it operates. But what if there is no time or resources to take…

This post was authored by Karel Bartos, Vojtech Franc, & Michal Sofka. Malware is constantly evolving and changing. One way to identify malware is by analyzing the communication that the malware performs on the network. Using machine learning, these traffic patterns can be utilized to identify m…