Examining SnakeKeylogger’s Loader and its Tactics, Techniques, and Procedures
Snake Keylogger is a Trojan Stealer that emerged as a significant threat in November 2020, showcasing a fusion of credential theft and keylogging functionalities. Developed using .NET, its arsenal includes keystroke logging, harvesting stored credentials, and capturing screenshots. Moreover, it exhibits adeptness in gathering clipboard data, browser credentials, and conducting system and network reconnaissance. This comprehensive array of capabilities underscores its sophistication and the importance of robust cybersecurity measures to counter such malicious tools effectively.
This Trojan Stealer employs a multifaceted approach to data exfiltration, leveraging various Command and Control (C2) servers such as FTP, SMTP, and Telegram. By utilizing these diverse channels, it enhances its ability to discreetly transmit the collected data from the targeted host to the attacker’s infrastructure. The use of FTP facilitates the secure transfer of files, while SMTP enables the sending of emails containing sensitive information. Additionally, integration with Telegram offers a real-time communication platform, allowing for immediate transmission of stolen data.
By diversifying its C2 infrastructure, the Trojan Stealer maximizes its operational efficacy while evading traditional cybersecurity defenses, emphasizing the need for comprehensive and dynamic threat mitigation strategies.
In this blog, the Splunk Threat Research Team provides valuable insights to enable security analysts and blue teamers to defend and be aware of these scam tactics. Below, we’ll cover:
- How the Snake Keylogger loader works
- Tactics and techniques employed by Snake Keylogger
- Security content you can use to help defend against this threat
- Indicators of compromise identified by our team
Snake Keylogger Loader
In addition to employing phishing campaigns for propagation, Snake Keylogger exhibits notable sophistication by utilizing a variety of cryptors or loaders to obfuscate its code and evade detection by sandboxes. This dynamic strategy poses significant challenges for analysts attempting to dissect and analyze its inner workings.
