Malicious code in mlflow-ui (PyPI)
--- _-= Per source details. Do not edit below this line.=-_ ## Source: kam193 (efedaf471fdd5b95baee95d9bd0d330c8ce0f5da06b5cdf89458fd4ea7a38015) During installation, the package first collects local information, environment variables, and probes connections to typically expected services like databanks. Results are exfiltrated and then, the next stage code is downloaded and executed. It then continues exfiltrating data by looking for credentials to databases, exfiltrating SQLite databases and bruteforcing&exfiltrating other databases reachable from the running environment. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2026-07-mlflow-ui Reasons (based on the campaign): - files-exfiltration - exfiltration-env-variables - dependency-confusion - Downloads and executes a remote malicious script. - exfiltration-credentials - network-scan - exfiltration-cloud-tokens
AI Analysis
Technical Summary
The mlflow-ui PyPI package versions 2.7.1, 2.7.2, and 2.7.3 are identified as malicious. Upon installation, the package collects local system information and environment variables, probes for connections to common services like databases, and exfiltrates this data. It downloads and executes further malicious code, continuing to exfiltrate credentials and database contents, including SQLite databases. The package also performs network scanning and brute forces other accessible databases, exfiltrating cloud tokens and other sensitive information. This behavior classifies it as an infostealer with dependency confusion characteristics.
Potential Impact
Installation of these specific mlflow-ui package versions leads to unauthorized data exfiltration including environment variables, database credentials, SQLite databases, and cloud tokens. The malicious code also performs network reconnaissance and brute forcing of databases, potentially compromising additional systems and data within the environment where the package is installed.
Mitigation Recommendations
No official patch or remediation is currently documented for this malicious package. Users should avoid installing mlflow-ui versions 2.7.1, 2.7.2, and 2.7.3 from PyPI. Verify package integrity and source before installation. Consider removing these versions if already installed and monitor for suspicious activity related to credential or data exfiltration. Check vendor or PyPI advisories for updates on remediation.
Malicious code in mlflow-ui (PyPI)
Description
--- _-= Per source details. Do not edit below this line.=-_ ## Source: kam193 (efedaf471fdd5b95baee95d9bd0d330c8ce0f5da06b5cdf89458fd4ea7a38015) During installation, the package first collects local information, environment variables, and probes connections to typically expected services like databanks. Results are exfiltrated and then, the next stage code is downloaded and executed. It then continues exfiltrating data by looking for credentials to databases, exfiltrating SQLite databases and bruteforcing&exfiltrating other databases reachable from the running environment. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2026-07-mlflow-ui Reasons (based on the campaign): - files-exfiltration - exfiltration-env-variables - dependency-confusion - Downloads and executes a remote malicious script. - exfiltration-credentials - network-scan - exfiltration-cloud-tokens
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The mlflow-ui PyPI package versions 2.7.1, 2.7.2, and 2.7.3 are identified as malicious. Upon installation, the package collects local system information and environment variables, probes for connections to common services like databases, and exfiltrates this data. It downloads and executes further malicious code, continuing to exfiltrate credentials and database contents, including SQLite databases. The package also performs network scanning and brute forces other accessible databases, exfiltrating cloud tokens and other sensitive information. This behavior classifies it as an infostealer with dependency confusion characteristics.
Potential Impact
Installation of these specific mlflow-ui package versions leads to unauthorized data exfiltration including environment variables, database credentials, SQLite databases, and cloud tokens. The malicious code also performs network reconnaissance and brute forcing of databases, potentially compromising additional systems and data within the environment where the package is installed.
Mitigation Recommendations
No official patch or remediation is currently documented for this malicious package. Users should avoid installing mlflow-ui versions 2.7.1, 2.7.2, and 2.7.3 from PyPI. Verify package integrity and source before installation. Consider removing these versions if already installed and monitor for suspicious activity related to credential or data exfiltration. Check vendor or PyPI advisories for updates on remediation.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-10779
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a5ba18244ab8fbf7c78a17c
Added to database: 07/18/2026, 15:53:38 UTC
Last enriched: 07/18/2026, 16:24:35 UTC
Last updated: 07/18/2026, 20:38:16 UTC
Views: 13
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