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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 ...
Minimal - At Level 1 maturity, an organization incorporates threat intelligence indicator searches. It has a moderate or high level of routine data collection. Procedural - At Level 2 maturity, an organization follows analysis procedures created by others. It has a high or very high level of routine data collection.
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.
Rootkit technology is also seeing increasing use, [12] as newer spyware programs also have specific countermeasures against well known anti-malware products and may prevent them from running or being installed, or even uninstall them. [citation needed]
To prevent infected computers from updating their malware, law enforcement would have needed to pre-register 50,000 new domain names every day. From the point of view of botnet owner, they only have to register one or a few domains out of the several domains that each bot would query every day.
A fast-flux service network (FFSN) is a network infrastructure resultant of the fast-fluxed network of compromised hosts; the technique is also used by legitimate service providers such as content distribution networks (CDNs) where the dynamic IP address is converted to match the domain name of the internet host, usually for the purpose of load balancing using round-robin domain name system ...
The laboratory was involved in the forensic analysis of several high-profile targeted attacks. [5]In October 2011, CrySyS Lab discovered the Duqu malware; [6] pursued the analysis of the Duqu malware and as a result of the investigation, identified a dropper file with an MS 0-day kernel exploit inside; [7] and finally released a new open-source Duqu Detector Toolkit [8] to detect Duqu traces ...
Flame is an uncharacteristically large program for malware at 20 megabytes. It is written partly in the Lua scripting language with compiled C++ code linked in, and allows other attack modules to be loaded after initial infection. [6] [19] The malware uses five different encryption methods and an SQLite database to store structured information. [1]