Category: Malware Analysis

2019-10-21
A year ago this fall, we introduced the VMRay Analyzer IDA plugin for IDA Pro disassembler and decompiler. With Version 1.0 of the plugin (nicknamed IDARay), malware analysts and DFIR teams could use the output of VMRay Analyzer to enrich IDA Pro static analysis with behavior-based data. The plugin sped
2019-09-04
In July, VMRay released version 3.1 of VMRay Analyzer, our flagship platform for automated malware analysis and detection. Among several major enhancements, 3.1 mapped our existing VMRay Threat Indicators (VTIs) to MITRE ATT&CK, the industry-standard framework and knowledge base of adversary tactics and techniques, threat groups, and related software and
In order for SOC Teams to be more effective, they need access to rich sources of threat intelligence in order to gain visibility and insight into potential threats. At VMRay, our goal is to make the sharing of threat data from each analysis easy. An update to our connector for
2019-08-01
This content covered in the blog is based on my Objective By the Sea talk “Hypervisor-Based Analysis of macOS Malware”. You can access the slides from my presentation here. A Growing Threat and a Dearth of Tools Compared to Windows, macOS accounts for only a small percentage of all malware,
With the latest release of our flagship platform for malware analysis, VMRay Analyzer 3.1, we are enhancing enterprise security in four broad areas: providing greater platform coverage, improved scalability, additional access security, and greater detection efficacy. In Version v3.1 we have: Mapped malicious behavior to the industry-standard MITRE ATT&CK framework,
In this era of Ransomware attacks and Zero Day attacks, it’s easy to forget about pervasive threats like Banking Trojans which have been around for some time. These same threats have evolved significantly over the past years, constantly presenting new challenges to security teams. In this post—condensed from a SANS
2019-06-25

Ursnif is a group of malware families based on the same leaked source code. When fully executed Urnsif has the capability to steal banking and online account credentials. In this blog post, we will analyze the payload of a Ursnif sample and demonstrate how a malware sandbox can expedite the

URLs are a ubiquitous infection vector. Embedded in emails, documents, and webpages, they are encountered early and often in the infection cycle. In addition to hosting exploits and delivering malicious files, they also play a major role in concealing threats and attacks by misdirecting analysis tools and security professionals. To
In a recent major update of our flagship platform, VMRay Analyzer 3.0, we made dramatic improvements in the system’s memory dumping capabilities. In an automated approach we call smart memory dumping, VMRay Analyzer now triggers more frequent and more relevant memory dumps to capture a comprehensive view of malware characteristics
Like a modern Superbug that has grown resistant to conventional antibiotics, malware today has evolved rapidly and become increasingly complex. While much has been written about malware’s ability to evade sandboxes, little has been made of the specific techniques malware authors are employing to evade detection. In this post—condensed from

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