jd-mlops

GHSA-6mfm-5hpq-43m2

Malicious code in jd-mlops (PyPI)

Details

**Severity:** Critical

**Affected versions:** `= 99.99.99`

## Source: kam193 (27e0c1b0bb778a762b23a541daa571391b073db56f64e90af5a403dffe5bbff3)
Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.


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Category: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.


Campaign: GENERIC-standard-pypi-install-pentest


Reasons (based on the campaign):


 - The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.


 - The package overrides the install command in setup.py to execute malicious code during installation.

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Credit: [OpenSSF](https://github.com/ossf/malicious-packages) ([source](https://github.com/ossf/malicious-packages/blob/49d0cfba3689ed9b195d101d3a2a964c6a77f767/osv/malicious/pypi/jd-mlops/MAL-2025-6528.json))

**References:**
- https://bad-packages.kam193.eu/pypi/package/jd-mlops
- https://github.com/ossf/malicious-packages/blob/49d0cfba3689ed9b195d101d3a2a964c6a77f767/osv/malicious/pypi/jd-mlops/MAL-2025-6528.json
- https://github.com/advisories/GHSA-6mfm-5hpq-43m2

Compromised versions (1)

= 99.99.99

Any computer that installed or ran a compromised version should be considered fully compromised. Rotate every secret on that machine from a clean environment.