Malicious code in donutautosellsrc (PyPI)
The donutautosellsrc package on PyPI contains malicious code that uses steganography to hide a Python application with a native extension module. This module is an obfuscated infostealer that collects sensitive data and exfiltrates it to a command and control server whose address is retrieved from transaction history on the Polygon blockchain. The package versions 0.3.7, 0.3.8, and 0.3.9 are affected.
AI Analysis
Technical Summary
During installation, the donutautosellsrc package fetches code hidden within an image containing a Python application with a native extension module. This native module is obfuscated and functions as an infostealer, collecting sensitive information from the infected system. It exfiltrates the stolen data to a command and control server whose address is dynamically retrieved from transaction history on the Polygon blockchain. The campaign associated with this package demonstrates clear malicious intent, including downloading and executing remote executables, use of steganography, obfuscation, and native code to evade detection.
Potential Impact
Sensitive data on systems where affected versions of donutautosellsrc are installed can be stolen and sent to a remote attacker-controlled server. This compromises confidentiality and potentially enables further attacks or data misuse. The use of obfuscation and blockchain-based C2 retrieval complicates detection and mitigation.
Mitigation Recommendations
No official patch or remediation is indicated. Users should immediately uninstall affected versions (=0.3.7, =0.3.8, =0.3.9) of donutautosellsrc and avoid installing this package. Monitor for any unauthorized data exfiltration and consider forensic analysis if the package was installed. Since no vendor advisory or patch is provided, patch status is not yet confirmed — check the vendor advisory or PyPI security notices for updates.
Malicious code in donutautosellsrc (PyPI)
Description
The donutautosellsrc package on PyPI contains malicious code that uses steganography to hide a Python application with a native extension module. This module is an obfuscated infostealer that collects sensitive data and exfiltrates it to a command and control server whose address is retrieved from transaction history on the Polygon blockchain. The package versions 0.3.7, 0.3.8, and 0.3.9 are affected.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
During installation, the donutautosellsrc package fetches code hidden within an image containing a Python application with a native extension module. This native module is obfuscated and functions as an infostealer, collecting sensitive information from the infected system. It exfiltrates the stolen data to a command and control server whose address is dynamically retrieved from transaction history on the Polygon blockchain. The campaign associated with this package demonstrates clear malicious intent, including downloading and executing remote executables, use of steganography, obfuscation, and native code to evade detection.
Potential Impact
Sensitive data on systems where affected versions of donutautosellsrc are installed can be stolen and sent to a remote attacker-controlled server. This compromises confidentiality and potentially enables further attacks or data misuse. The use of obfuscation and blockchain-based C2 retrieval complicates detection and mitigation.
Defensive Guidance
No official patch or remediation is indicated. Users should immediately uninstall affected versions (=0.3.7, =0.3.8, =0.3.9) of donutautosellsrc and avoid installing this package. Monitor for any unauthorized data exfiltration and consider forensic analysis if the package was installed. Since no vendor advisory or patch is provided, patch status is not yet confirmed — check the vendor advisory or PyPI security notices for updates.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17192
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["PyPI"]
Threat ID: 6ab89bcff7a7c54106941f46
Added to database: 09/27/2026, 04:30:07 UTC
Last enriched: 09/27/2026, 04:38:02 UTC
Last updated: 09/27/2026, 17:05:56 UTC
Views: 32
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