Telekom Security CTI has uncovered a new phishing-driven malware campaign distributing DarkGate malware. This campaign utilizes stolen email threads to trick users into downloading malicious payloads via hyperlinks. An initial false link to Emotet stirred the security community, but deeper analysis confirmed its true identity as DarkGate, with characteristics like AutoIt scripts and a known command-and-control protocol. This report by Fabian Marquardt details the intricate infection mechanisms, including MSI and VBS file deliveries, sophisticated evasion techniques, and a robust configuration extraction method surpassing current standards. The single developer behind DarkGate, active on cybercrime forums, has shifted the malware’s use from private to a rent-out model, implying an expected rise in its deployment. Researchers have also developed a decryption technique for the DarkGate malware, which aids in static analysis and detection, though it requires careful validation to avoid false positives.
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2023-10-31
- Author: Michael Haag, Splunk
- ID: a4727b27-9e68-48f0-94a2-253cfb30c15d
Telekom Security CTi has recently put a spotlight on the proliferation of DarkGate malware via a sophisticated malspam campaign, initially mistaken for the notorious Emotet malware. The campaign smartly manipulates stolen email conversations, embedding hyperlinks that, once clicked, activate a malware download. Fabian Marquardt’s analysis traces the infection’s footprint, revealing a dual delivery mechanism through MSI and VBS files. These files, cloaked in legitimate wrappers or obscured with junk code, ultimately download the malware via embedded scripts.
Marquardt delves into the AutoIt script-based infection, uncovering the calculated use of compiled scripts and base64-encoded data to disguise the execution of malicious shellcode. The subsequent stages of infection exhibit the malware’s capability to evade detection, leveraging memory allocation techniques to bypass security measures. Marquardt also explores the loader’s function, which decrypts further malicious payloads by interacting with the script’s encoded components.
The analytical narrative captures a cross-section of the cybersecurity landscape, reflecting the shift in DarkGate’s operational strategy from exclusive use by the developer to a broader dissemination through a Malware-as-a-Service (MaaS) model. This transition suggests an anticipated escalation in DarkGate-related attacks.
Significantly, the report contributes to cybersecurity defenses by outlining a more effective method for extracting malware configurations, providing the community with the means to anticipate and mitigate the evolving threats posed by this pernicious malware. With the insights gained, researchers and security professionals are better equipped to adapt their strategies, constructing more robust defenses against the sophisticated tactics employed by DarkGate and similar malware strains.
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