Analyzing Malicious Intent in Python Code: A Case Study

Two malicious packages, Zebo-0.1.0 and Cometlogger-0.1, were identified by an AI-driven OSS malware detection system. These packages contain Python scripts designed for surveillance, data exfiltration, and unauthorized control. Zebo-0.1.0 uses obfuscation techniques, keylogging, screen capturing, and data exfiltration to a remote server. It also implements a persistence mechanism to ensure re-execution upon system startup. Cometlogger-0.1 exhibits webhook manipulation, information theft from various platforms, anti-VM detection, dynamic file modification, and persistence mechanisms. Both packages pose significant security risks, including credential leaks and sensitive information theft. The analysis highlights the importance of cybersecurity awareness and robust defensive measures against such malicious code. Author: AlienVault

Related Tags:
zebo-0.1.0

T1059.006

T1056.001

T1547.001

T1555

T1552.001

python

T1078

T1112

Associated Indicators:
E01C61DC52514B011C83C293CF19092C40CB606A28A87675B4F896BE5AFEBED2

839D0CFCC52A130ADD70239B943D8C82C4234B064D6F996EEAAE142F05CC9E85