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FireEye Labs Research Outlines Techniques Malware Authors Use to Evade File-Based Sandboxes

MILPITAS, CA — (Marketwired) — 08/01/13 — FireEye®, Inc., the leader in stopping today-s new breed of cyber attacks, today released a new report titled, “Hot Knives Through Butter: How Malware Evades Automated File-based Sandboxes,” that reveals several techniques used by advanced malware to sidestep signature-based defenses during attacks. Today-s sophisticated, polymorphic malware is able to hide, replicate, and disable host protections using a variety of techniques, rendering single-flow, file-based sandbox solutions ineffective.

“In today-s threat landscape, traditional sandboxes no longer offer a silver bullet against sophisticated attackers,” said Zheng Bu, senior director of research and co-author of the report. “Malware is increasingly able to determine when it is running in a virtual environment and alter its behavior to avoid detection. Effective detection requires analyzing the context of behavior and correlating disparate phases of an attack through multi-flow analysis — which is how our researchers identified the malware samples outlined in this paper.”

The FireEye Labs research team leveraged the company-s Multi-Vector Virtual Execution (MVX) engine-s signature-less, dynamic, real-time detection capability to identify new evasion techniques.

The FireEye report outlines the methodologies malware authors are using to evade file-based sandboxes, which typically fall into one or more of the following categories:

Malware that involves human interaction lies dormant until it detects signs of human interaction. The UpClicker Trojan discovered by FireEye in December 2012 used mouse clicks to detect human activity, establishing communication with malicious CnC servers only after detecting a click of the left mouse button.

Sandboxes mimic the physical computers they are protecting, yet they are still configured to a defined set of parameters. Most sandboxes only monitor files for a few minutes before moving on to the next file. Therefore, cybercriminals simply wait out the sandbox and attack after the monitoring process is completed.

Malware often seeks to exploit flaws present only in specific versions of an application. If a predefined configuration within a sandbox lacks a particular combination of operating system and applications, some malware will not execute, evading detection.

VMware, a popular virtual-machine tool, is particularly easy to identify because of its distinctive configuration, which proves useful to malware writers. For example, VMWare-s distinctive configuration allows malware to check for VMWare services before executing.

Understanding the techniques malware authors are using to evade detection from file-based sandboxes will allow security professionals to better identify the potential for an Advanced Persistent Threat (APT) attack.

To download the full report, “Hot Knives Through Butter: Evading Automated File-based Sandboxes,” please visit

® has invented a purpose-built, virtual machine-based security platform that provides real-time threat protection to enterprises and governments worldwide against the next generation of cyber attacks. These highly sophisticated cyber attacks easily circumvent traditional signature-based defenses, such as next-generation firewalls, IPS, anti-virus, and gateways. The provides real-time, dynamic threat protection without the use of signatures to protect an organization across the primary threat vectors, including Web, email, and files and across the different stages of an attack life cycle. The core of the FireEye platform is a virtual execution engine, complemented by dynamic threat intelligence, to identify and block cyber attacks in real time. FireEye has over 1,000 customers across more than 40 countries, including over one-third of the Fortune 100.

FireEye is a registered trademark of FireEye, Inc. All other brands, products, or service names are or may be trademarks or service marks of their respective owners.

Katherine Nellums
LEWIS PR
+1.415.432.2451

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