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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 ...
Project vulnerability is the project's susceptibility to being subject to negative events, the analysis of their impact, and the project's capability to cope with negative events. [5] Based on Systems Thinking, project systemic vulnerability management takes a holistic vision, and proposes the following process:
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.
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.
Log management: Focus on simple collection and storage of log messages and audit trails. [8] Security information management : Long-term storage as well as analysis and reporting of log data. [20] Security event manager : Real-time monitoring, correlation of events, notifications and console views.
MISP Threat Sharing (MISP), Malware Information Sharing Platform is an open source threat intelligence platform. The project develops utilities and documentation for more effective threat intelligence, by sharing indicators of compromise. [2] There are several organizations who run MISP instances, who are listed on the website. [3]
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]
Cyber threat intelligence (CTI) is a subfield of cybersecurity that focuses on the structured collection, analysis, and dissemination of data regarding potential or existing cyber threats. [ 1 ] [ 2 ] It provides organizations with the insights necessary to anticipate, prevent, and respond to cyberattacks by understanding the behavior of threat ...
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