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2. Malware analysis - Wikipedia

   en.wikipedia.org/wiki/Malware_Analysis

   Malware analysis is the study or process of determining the functionality, origin and potential impact of a given malware sample such as a virus, worm, trojan horse, rootkit, or backdoor. [1] Malware or malicious software is any computer software intended to harm the host operating system or to steal sensitive data from users, organizations or ...

3. Sandbox (computer security) - Wikipedia

   en.wikipedia.org/wiki/Sandbox_(computer_security)

   Security researchers rely heavily on sandboxing technologies to analyse malware behavior. By creating an environment that mimics or replicates the targeted desktops, researchers can evaluate how malware infects and compromises a target host. Numerous malware analysis services are based on the sandboxing technology. [12]

4. Malware - Wikipedia

   en.wikipedia.org/wiki/Malware

   Antivirus software typically uses two techniques to detect malware: (i) static analysis and (ii) dynamic/heuristic analysis. [60] Static analysis involves studying the software code of a potentially malicious program and producing a signature of that program. This information is then used to compare scanned files by an antivirus program.

5. Malware research - Wikipedia

   en.wikipedia.org/wiki/Malware_research

   Research in combining static and dynamic malware analysis techniques is also currently being conducted in an effort to minimize the shortcomings of both. Studies by researchers such as Islam et al. [13] are working to integrate static and dynamic techniques in order to better analyze and classify malware and malware variants.

6. Cyber threat hunting - Wikipedia

   en.wikipedia.org/wiki/Cyber_threat_hunting

   Situational-Awareness Driven: "Crown Jewel analysis, enterprise risk assessments, company- or employee-level trends" Intelligence-Driven: "Threat intelligence reports, threat intelligence feeds, malware analysis, vulnerability scans" The analysts research their hypothesis by going through vast amounts of data about the network.

7. Volatility (software) - Wikipedia

   en.wikipedia.org/wiki/Volatility_(software)

   Volatility is an open-source memory forensics framework for incident response and malware analysis. It is written in Python and supports Microsoft Windows, Mac OS X, and Linux (as of version 2.5 [1]). Volatility was created by Aaron Walters, drawing on academic research he did in memory forensics. [2] [3]