Malicious code in ml-core-airflow-auth (PyPI)
The PyPI package 'ml-core-airflow-auth' version 0.0.1 contains malicious code that downloads and executes remote executables using multiple fallback methods, including Cloudflare Workers and DNS TXT records. It uses a persistence mechanism via a .pth file to run on every Python start and attempts to exfiltrate basic system data such as IP address and username. The package also overrides the install command to execute malicious code during installation and covers its tracks by removing the downloaded binary after execution.
AI Analysis
Technical Summary
The 'ml-core-airflow-auth' PyPI package (version 0.0.1) includes malicious functionality disguised as a telemetry module. It attempts to download a malicious executable from multiple sources, first via Cloudflare Workers and then via DNS TXT records from specific domains, reconstructing the executable in parts. The binary is executed and then deleted to evade detection. Persistence is achieved by abusing Python's .pth files to run the malicious code on each Python startup. Additionally, the package overrides the setup.py install command to run malicious code during installation and exfiltrates basic system information such as IP and username. This campaign is identified as malicious with clear intent to maintain persistence and cover tracks.
Potential Impact
The malicious package can execute arbitrary code on the affected system, leading to potential compromise. It exfiltrates basic system information, establishes persistence on the host, and removes traces of the downloaded executable to evade detection. The overriding of the install command means the malicious code runs during package installation, increasing the risk of infection. Although no known exploits in the wild are reported, the capability to download and execute arbitrary binaries poses a significant security risk.
Mitigation Recommendations
No official patch or fix is available for this malicious package. The best mitigation is to avoid installing or using 'ml-core-airflow-auth' version 0.0.1 from PyPI. Security teams should audit their environments for the presence of this package and remove it if found. Monitor for suspicious .pth files that could indicate persistence mechanisms. Since this is a malicious package rather than a vulnerability in legitimate software, remediation involves removing the package and any associated malicious artifacts.
Malicious code in ml-core-airflow-auth (PyPI)
Description
The PyPI package 'ml-core-airflow-auth' version 0.0.1 contains malicious code that downloads and executes remote executables using multiple fallback methods, including Cloudflare Workers and DNS TXT records. It uses a persistence mechanism via a .pth file to run on every Python start and attempts to exfiltrate basic system data such as IP address and username. The package also overrides the install command to execute malicious code during installation and covers its tracks by removing the downloaded binary after execution.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The 'ml-core-airflow-auth' PyPI package (version 0.0.1) includes malicious functionality disguised as a telemetry module. It attempts to download a malicious executable from multiple sources, first via Cloudflare Workers and then via DNS TXT records from specific domains, reconstructing the executable in parts. The binary is executed and then deleted to evade detection. Persistence is achieved by abusing Python's .pth files to run the malicious code on each Python startup. Additionally, the package overrides the setup.py install command to run malicious code during installation and exfiltrates basic system information such as IP and username. This campaign is identified as malicious with clear intent to maintain persistence and cover tracks.
Potential Impact
The malicious package can execute arbitrary code on the affected system, leading to potential compromise. It exfiltrates basic system information, establishes persistence on the host, and removes traces of the downloaded executable to evade detection. The overriding of the install command means the malicious code runs during package installation, increasing the risk of infection. Although no known exploits in the wild are reported, the capability to download and execute arbitrary binaries poses a significant security risk.
Mitigation Recommendations
No official patch or fix is available for this malicious package. The best mitigation is to avoid installing or using 'ml-core-airflow-auth' version 0.0.1 from PyPI. Security teams should audit their environments for the presence of this package and remove it if found. Monitor for suspicious .pth files that could indicate persistence mechanisms. Since this is a malicious package rather than a vulnerability in legitimate software, remediation involves removing the package and any associated malicious artifacts.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-10919
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a5e7a5c2a4a8d59899ddcfc
Added to database: 07/20/2026, 19:43:24 UTC
Last enriched: 07/20/2026, 20:31:15 UTC
Last updated: 07/21/2026, 04:43:07 UTC
Views: 7
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