Tag: Fraud
First detected in May 2018, DanaBot is a fraud trojan that has since shifted its targets from banks in Australia to banks in Europe, as well as global email providers such as Google, Microsoft and Yahoo for the holiday phishing season. Source link lol
Read MoreThe most common initial vector for phishing attacks is the fraudulent email. A well-crafted phishing email entices the victim to click on a malicious link that then takes them to an attacker’s site. Once that happens, that site must appear to be as authentic as possible. Images, fonts, layout, styles, and even the URL will…
Read MoreGozi “banking” trojan continues to shift its targets beyond banking as it employs client-side and server-side evasion techniques via time-tested web injection. Source link lol
Read MoreIn the Ramnit configuration, there were a number of targets that didn’t belong to a particular company or website: Instead, there were several words in French, Italian, and English. This is an innovation we have not seen in previous Ramnit configurations. It appears as though the Ramnit authors cast a wider net in hopes of…
Read MorePanda’s target list includes two productivity web applications that use Ajax. This is notable because unlike web applications that execute completely on a server, Ajax applications utilize functions across both the client and the server. This extends the possible attack surface, and allows for more opportunities to potentially inject malicious code, steal sessions/authentication tokens, or…
Read MoreConclusion Banking trojans—malware designed to attack the customers of financial institutions and engage in fraudulent activity when they log into a target bank—are just as effective now as they were a decade ago. One reason is because malware authors are good at evading detection, and many organizations have yet to implement web fraud prevention systems…
Read MoreThe next step in this process is to convert the decrypted and decompressed data file from binary into a human readable format. The following python snippet provides a regular expression that will roughly split the injects from one another: import re regex_res = re.split(‘[x00]{1}[x00-xff]{7}[x00]{2}[x01-xff]{1}’, data[7:]) The steps outlined here can be used on the different…
Read MoreDuring June and July, F5 researchers first noticed Trickbot campaigns aimed at a smaller set of geographically oriented targets and did not use redirection attacks—a divergence from previous Trickbot characteristics. In this research, we compared two different target configurations, one older, more “traditional” configuration that uses redirection, and a new Trickbot configuration that does not…
Read MoreIntroduction Welcome to F5 Labs’ third annual report on phishing and fraud. Once again, we’re bringing you data from our partner Webroot® as well as the F5 Security Operations Center. Phishing continues to be a major source of profit for cyber-criminals, and a big hassle for cyber-defenders. In the F5 Labs 2019 Application Protection Report,…
Read MoreCompletely investigating the underlying server architecture and CNC structure of banking trojans such as DanaBot is an area of continuing research for the F5 malware team. Conclusion As with all banking trojans, DanaBot actively updates its tactics, techniques, and target list to both avoid detection and maintain continual operations to optimize the attacker’s financial reward.…
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