Researchers at Google’s Threat Intelligence Group (GTIG) are tracking a new threat actor that’s impersonating help desks to trick users into installing malware. The threat actor, which GTIG tracks as “UNC6692,” begins by sending a large volume of spam emails to the victim, then initiates contact via Microsoft Teams to ostensibly help the user block the spam.
“As with many other intrusions in recent years, UNC6692 relied heavily on impersonating IT helpdesk employees, convincing their victim to accept a Microsoft Teams chat invitation from an account outside their organization,” GTIG says. “The UNC6692 campaign demonstrates an interesting evolution in tactics, particularly the use of social engineering, custom malware, and a malicious browser extension, playing on the victim’s inherent trust in several different enterprise software providers.”
After the attackers make contact with a victim on Teams, they send a link to a phishing page that poses as a “Mailbox Repair Utility.” This page is designed to harvest the user’s credentials.
“The harvesting script...employs a ‘double-entry’ psychological trick. “It is programmed to reject the first and second password attempts as incorrect. This serves two functions: it reinforces the user’s belief that the system is legitimate and performs real-time validation, and it ensures that the attacker captures the password twice, significantly reducing the risk of a typo in the stolen data.”
The phishing page then installs several strains of custom malware to establish a foothold on the user’s system.
The researchers conclude, “The UNC6692 campaign demonstrates how modern attackers blend social engineering and technical evasion to gain a foothold into environments. A critical element of this strategy is the systematic abuse of legitimate cloud services for payload delivery and exfiltration, and for command-and-control (C2) infrastructure. By hosting malicious components on trusted cloud platforms, attackers can often bypass traditional network reputation filters and blend into the high volume of legitimate cloud traffic.”
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