Infect
发表于 2025-3-28 15:34:46
A Formal Framework for Environmentally Sensitive Malwaredel is that it cannot account for the most common approach to obfuscation used by malware: the observer effect. The observer effect describes the situation in which the act of observing something changes it. Malware implements the observer effect by detecting and acting on changes in its environment
gratify
发表于 2025-3-28 19:52:29
: A Tool for Massive Malware Labelingnce datasets in turn used for evaluating malware clustering and training malware classification approaches. Oftentimes, such labeling is based on labels output by antivirus engines. While AV labels are well-known to be inconsistent, there is often no other information available for labeling, thus se
Eviction
发表于 2025-3-29 00:12:14
Semantics-Preserving Dissection of JavaScript Exploits via Dynamic JS-Binary Analysist statements that uniquely characterize the exploit and the payload location in the exploit. However, the current diagnosis techniques are inadequate because they approach the problem either from a JavaScript perspective and fail to account for “implicit” data flow invisible at JavaScript level, or
constellation
发表于 2025-3-29 05:46:31
The Messenger Shoots Back: Network Operator Based IMSI Catcher Detectionke phone calls, SMS or data transmission unbeknown to the user. They are readily available as commercial products as well as do-it-yourself projects running open-source software, and are obtained and used by law enforcement agencies and criminals alike. Multiple countermeasures have been proposed re
Myofibrils
发表于 2025-3-29 10:44:47
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Ruptured-Disk
发表于 2025-3-29 13:17:32
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注意力集中
发表于 2025-3-29 18:42:37
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Indigence
发表于 2025-3-29 19:46:28
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Invigorate
发表于 2025-3-30 02:56:34
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作茧自缚
发表于 2025-3-30 06:18:32
SandPrint: Fingerprinting Malware Sandboxes to Provide Intelligence for Sandbox Evasionngle sandbox. In fact, using supervised learning techniques, we show that adversaries can automatically generate a classifier that can reliably tell a sandbox and a real system apart. Finally, we show that we can use similar techniques to stealthily detect commercial malware security appliances of three popular vendors.