Malicious code in ml-fdbk-shared (PyPI)
The PyPI package 'ml-fdbk-shared' versions 1.0.0 and 2.3.1 contains malicious code that exfiltrates basic system information and all environment variables during installation. This behavior classifies the package as a malicious infostealer with limited risk. No official patch or remediation guidance is currently provided.
AI Analysis
Technical Summary
The 'ml-fdbk-shared' package on PyPI, specifically versions 1.0.0 and 2.3.1, includes code that, upon installation, collects and exfiltrates basic system data such as IP address and username, as well as all environment variables. This exfiltration indicates a clear malicious intent, categorizing the package as an infostealer. There is no CVSS score assigned, and no known exploits in the wild have been reported. The package is not a cloud service, and no vendor advisory or patch information is available.
Potential Impact
The malicious code can leak sensitive environment variables and basic system information to an attacker, potentially exposing credentials, configuration secrets, or other sensitive data present in environment variables. This exposure can lead to further compromise depending on the data leaked. However, the risk is described as limited, likely due to the scope of data exfiltrated or the difficulty of exploitation beyond installation.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should avoid installing the affected versions (=1.0.0 and =2.3.1) of the 'ml-fdbk-shared' package. If already installed, remove the package and investigate any potential data exposure. Monitor for updates or advisories from the package maintainers or PyPI for remediation.
Malicious code in ml-fdbk-shared (PyPI)
Description
The PyPI package 'ml-fdbk-shared' versions 1.0.0 and 2.3.1 contains malicious code that exfiltrates basic system information and all environment variables during installation. This behavior classifies the package as a malicious infostealer with limited risk. No official patch or remediation guidance is currently provided.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The 'ml-fdbk-shared' package on PyPI, specifically versions 1.0.0 and 2.3.1, includes code that, upon installation, collects and exfiltrates basic system data such as IP address and username, as well as all environment variables. This exfiltration indicates a clear malicious intent, categorizing the package as an infostealer. There is no CVSS score assigned, and no known exploits in the wild have been reported. The package is not a cloud service, and no vendor advisory or patch information is available.
Potential Impact
The malicious code can leak sensitive environment variables and basic system information to an attacker, potentially exposing credentials, configuration secrets, or other sensitive data present in environment variables. This exposure can lead to further compromise depending on the data leaked. However, the risk is described as limited, likely due to the scope of data exfiltrated or the difficulty of exploitation beyond installation.
Mitigation Recommendations
No official patch or remediation is currently documented. Users should avoid installing the affected versions (=1.0.0 and =2.3.1) of the 'ml-fdbk-shared' package. If already installed, remove the package and investigate any potential data exposure. Monitor for updates or advisories from the package maintainers or PyPI for remediation.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-11200
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a6bdd859c2644c7f8da6f15
Added to database: 07/30/2026, 23:25:57 UTC
Last enriched: 07/30/2026, 23:29:53 UTC
Last updated: 07/30/2026, 23:32:36 UTC
Views: 3
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