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Labeling malware samples with their appropriate malware family helps understand and track malware evolution and develop mitigation techniques. Current malware analysis techniques that use supervised machine learning rely on classification models that are trained on malware traffic generated from a sandbox environment. These models are then used to classify future unseen observations. In practice,...
DNS has been increasingly abused by adversaries for cyber-attacks. Recent research has leveraged DNS failures (i.e. DNS queries that result in a Non-Existent-Domain response from the server) to identify malware activities, especially domain-flux botnets that generate many random domains as a rendezvous technique for command-&-control. Using ISP network traces, we conduct a systematic analysis...
The web has become a platform that attackers exploit to infect vulnerable hosts, or deceive victims into buying rogue software. To accomplish this, attackers either inject malicious scripts into popular web sites or manipulate content delivered by servers to exploit vulnerabilities in users' browsers. To hide malware distribution servers, attackers employ HTTP redirections, which automatically redirect...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.