Malicious code in ml-fdbk-shared (PyPI)
The PyPI package ml-fdbk-shared contained malicious code that exfiltrates system information and environment variables during installation. The package was identified and reported as part of the 2026-07-ml-shared malicious campaign.
- Disclosed
- Last updated
- Blast radius
- All users who installed affected versions of ml-fdbk-shared from PyPI
- Ecosystems
- Attack vectors
- Threat actor
- Affected entities
- ml-fdbk-sharedPyPI package containing malicious code
The ml-fdbk-shared package distributed via PyPI contained malicious code designed to exfiltrate sensitive system information. During package installation, the code collects and transmits basic system data including IP address, username, and all environment variables.\n\nThe malicious package was identified and attributed to campaign 2026-07-ml-shared, with clear intent to steal system and environmental data from affected installations. The package was reported by the OpenSSF's malicious-packages project (MAL-2026-11200).\n\nThe incident was disclosed on 2026-07-31 via GitHub Security Advisory GHSA-hf8q-5jww-9c56. Users who installed this package during the active distribution period are at risk of information disclosure.
Indicators of compromise
- Packages
- ml-fdbk-shared
Remediation
- Immediately uninstall ml-fdbk-shared from all systems
- Review system logs and environment variable history for potential exposure
- Rotate any credentials or sensitive data that may have been in environment variables
- Check for any unauthorized access or lateral movement from affected systems
- Use a package manager to verify the integrity of other installed packages
Sources
- GitHub Advisory GHSA-hf8q-5jww-9c56 · GitHub Advisory Database
Cite this entry
"Malicious code in ml-fdbk-shared (PyPI)." supplychainattack.org, Supply Chain Attack Incident Catalog. Disclosed July 31, 2026; last updated July 31, 2026. https://supplychainattack.org/incident/malicious-code-in-ml-fdbk-shared-pypi-1p6lrj
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