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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 ...
An XSS worm, sometimes referred to as a cross site scripting virus, [1] is a malicious (or sometimes non-malicious) payload, usually written in JavaScript, that breaches browser security to propagate among visitors of a website in the attempt to progressively infect other visitors. [2]
peacenotwar is a piece of malware, which has been characterized as protestware, [1] created by Brandon Nozaki Miller. In March 2022, it was added as a dependency in an update for node-ipc, a common JavaScript dependency.
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]
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.
Injection flaws can be identified through source code examination, [1] Static analysis, or dynamic testing methods such as fuzzing. [2] There are numerous types of code injection vulnerabilities, but most are errors in interpretation—they treat benign user input as code or fail to distinguish input from system commands.
The scripted malware would then have access to all the memory mapped to the address space of the running browser. [61] The exploit using remote JavaScript follows a similar flow to that of a local machine code exploit: flush cache → mistrain branch predictor → timed reads (tracking hit / miss).
As the JavaScript code was also processing user input and rendering it in the web page content, a new sub-class of reflected XSS attacks started to appear that was called DOM-based cross-site scripting. In a DOM-based XSS attack, the malicious data does not touch the web server.