CuckooBees

10469266899?profile=RESIZE_400xAn elusive and sophisticated cyberespionage campaign orchestrated by the China-backed Winnti group has managed evade detection since at least 2019.  Named by investigators "Operation CuckooBees,” the massive intellectual property theft operation enabled the threat actor to exfiltrate hundreds of gigabytes of information.  Targets included technology and manufacturing companies primarily located in East Asia, Western Europe, and North America.  "The attackers targeted intellectual property developed by the victims, including sensitive documents, blueprints, diagrams, formulas, and manufacturing-related proprietary data," the researchers said.  "In addition, the attackers collected information that could be used for future cyberattacks, such as details about the target company's business units, network architecture, user accounts and credentials, employee emails, and customer data."

Winnti, also tracked by other cybersecurity vendors under the names APT41, Axiom, Barium, and Bronze Atlas, is known to be active since at least 2007.[1]  The group's intent is towards theft of intellectual property from organizations in developed economies, and with moderate confidence that this is on behalf of China to support decision making in a range of Chinese economic sectors.

The multi-phased infection chain documented by researchers involves the exploitation of internet-facing servers to deploy a web shell with the goal of conducting reconnaissance, lateral movement, and data exfiltration activities.  It is both complex and intricate, following a "house of cards" approach in that each component of the Killchain depends on other modules in order to function, rendering analysis exceedingly difficult.  "This demonstrates the thought and effort that was put into both the malware and operational security considerations, making it almost impossible to analyze unless all pieces of the puzzle are assembled in the correct order," the researchers explained.

The data harvesting is facilitated by means of a modular loader called Spyder, which is used to decrypt and load additional payloads.  Also used are four different payloads STASHLOG, SPARKLOG, PRIVATELOG, and DEPLOYLOG that are sequentially deployed to drop the WINNKIT, a kernel-level rootkit.

Crucial to the stealthness of the campaign is the use of "rarely seen" techniques such as the abuse of Windows Common Log File System (CLFS) mechanism to stash the payloads, enabling the hacking group to conceal their payloads and evade detection by traditional security products.

Interestingly, parts of the attack sequence were previously detailed by Mandiant in September 2021, while pointing out the misuse of CLFS to hide second-stage payloads in an attempt to circumvent detection.  The cybersecurity firm attributed the malware to an unknown actor but cautioned that it could have been deployed as part of a highly targeted activity.  "Because the file format is not widely used or documented, there are no available tools that can parse CLFS log files," Mandiant said at the time. "This provides attackers with an opportunity to hide their data as log records in a convenient way, because these are accessible through API functions."

WINNKIT, for its part, has a compilation timestamp of May 2019 and has almost zero detection rate in VirusTotal, highlighting the evasive nature of the malware that enabled the authors to stay undiscovered for years.  The ultimate goal of the intrusions, the researchers assessed, is to siphon proprietary information, research documents, source code, and blueprints for various technologies.  Winnti is one of the most industrious groups operating on behalf of Chinese state-aligned interests.  The threat [actor] employed an elaborate, multi-stage infection chain that was critical to enabling the group to remain undetected for so long.

Red Sky Alliance is a Cyber Threat Analysis and Intelligence Service organization.  For questions, comments or assistance, please contact the office directly at 1-844-492-7225, or feedback@wapacklabs. com    

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[1] https://thehackernews.com/2022/05/chinese-hackers-caught-stealing.html

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