During this 30-minute demo you will learn how to investigate suspicious files and endpoints using Genetic Malware Analysis technology. Get to know Intezer Analyze, including features such as code and string reuse, related samples, and dynamic unpacking. Threat examples include Emotet, Mirai, and the Bitpaymer ransomware recently exploiting organizations in Spain.
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Learn how Intezer Analyze helps cybersecurity teams enrich threat intelligence and proactively hunt for new cyber threats targeting their organization.
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The purpose of this white paper is to define the challenges involved in writing effective YARA rules. It explains how identifying code reuse between malicious files can be used to automatically produce advanced YARA rules, in order to increase the accuracy of malware detection and classification and improve threat hunting capabilities.
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Malware authors leverage code reuse when employing new campaigns. For defenders, this provides critical information for detection, classification, level of sophistication and threat actor capabilities. Learn more about Genetic Malware Analysis technology and Intezer Analyze™ here.
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The Intezer and Demisto integration equips security teams with an efficient workflow for security orchestration, malware analysis and incident response. Orchestrate Intezer’s Genetic Malware Analysis into an existing security pipeline through task-based playbooks, to accurately identify threats, classify them according to risk and severity and provide deep insights into every single alert.
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Malware analysis requires honed skills and a deep understanding of executable behavior. SANS Institute’s instructor Matt Bromiley discusses Intezer’s unique approach to malware analysis, enabling detection teams to classify and respond to a greater number of alerts with confidence.
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Leading Telecom Company Implements Genetic Malware Analysis to Accelerate its Incident Response Time: Intezer Analyze, is implemented to enable the telecom company’s incident response (IR) team to optimize processes, accelerate time to response, and adopt a proactive approach to threat hunting.
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At Intezer, information sharing is a key component of our makeup, and reflected in our technology. In the spirit of industry collaboration, and with the intent of bringing the research community closer together, we sat down with nine well-known researchers from across the world, to hear about some of the more interesting malware and campaigns they have […]
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Malware classifcation, which encompasses both the identification and attribution of code, has the power to unlock many clues that aid security teams in achieving this. Such clues provide a greater understanding of potential adversaries. Going beyond whether code is trustworthy or malicious offers a multifaceted view into attackers’ mindsets and ultimately, their goals.
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Detect the hidden attacks within your organization and speed-up investigation with Intezer’s solutions.
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Whether legitimate or malicious, nearly every software is composed of previously written code; the key to deeply understanding its nature and origins lies in discovering code that has appeared in previously known software.
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In the software development world, engineers frequently use ready-made code for various tasks. On the darker side of things, malware authors follow in the same path, why write your own code when existing code is prevalent and easy to use. A phenomenon that we see time and time again and one that proves beneficial in […]
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Because both trusted and malicious applications are based on previously written code, Code Intelligence™ can uncover the nature and identity of any unknown file.
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Security teams at even the largest organizations are often overwhelmed by the volume of flagged incidents and unknown files that need to be investigated. Meanwhile, businesses’ and customers’ sensitive information is at risk of being compromised by the needle in the haystack: the major threat hiding in plain sight among false positives
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