Full Report
Fortinet discovers two malicious Python packages, Zebo-0.1.0 and Cometlogger-0.1, designed to steal data, capture keystrokes, and gain system control. Learn about their malicious behavior and how to protect yourself
Analysis Summary
# Tool/Technique: Zebo-0.1.0 and Cometlogger-0.1
## Overview
Zebo-0.1.0 and Cometlogger-0.1 are Python-based malware families identified for their capability to steal user data from infected systems.
## Technical Details
- Type: Malware family
- Platform: Implied to be platforms supporting Python execution (likely Windows, macOS, or Linux, characteristic of Python malware deployment).
- Capabilities: Stealing user data.
- First Seen: Not explicitly provided in the context.
## MITRE ATT&CK Mapping
*Note: Specific mappings are inferred based on the stated capability of stealing user data.*
- T1003 - Credential Access
- T1003.001 - OS Credential Dumping
- T1119 - Automated Collection
- T1119.002 - For Data Staged
- T1560 - Archive Collected Data
- T1560.001 - Archive via Utility
## Functionality
### Core Capabilities
- Data Exfiltration: Primarily focused on identifying and stealing user data from the compromised host.
### Advanced Features
- Python-based implementation, suggesting potential cross-platform compatibility depending on library usage.
## Indicators of Compromise
- File Hashes: [Not provided]
- File Names: [Zebo-0.1.0, Cometlogger-0.1 (indicating versions or packages)]
- Registry Keys: [Not provided]
- Network Indicators: [Not provided]
- Behavioral Indicators: Executing scripts with the intent to locate and transmit user information.
## Associated Threat Actors
- [Not explicitly named in the provided context, but associated with cybercriminal activity targeting user data.]
## Detection Methods
- Signature-based detection: Signatures targeting the specific file names (Zebo-0.1.0, Cometlogger-0.1) or Python code patterns related to data collection.
- Behavioral detection: Monitoring for suspicious file access patterns, especially targeting user profile directories, and outbound network connections initiated by Python interpreters for data staging/exfiltration.
- YARA rules if available: [Not provided]
## Mitigation Strategies
- Prevention measures: Ensure Python environments are restricted where possible. Employ application control to limit execution from untrusted sources.
- Hardening recommendations: Limit user permissions to prevent widespread data access. Implement strong endpoint detection and response (EDR) solutions capable of monitoring script execution and data egress.
## Related Tools/Techniques
- Other Python-based malware that performs data theft or infostealer functions.