Which versions of pytorch-mutex are malicious?

The following PyPI versions of pytorch-mutex are flagged malicious: 0.0.0, 1, 7.0.0, 7.0.1, 7.0.3, 10.0.0. Treat any of these as compromised.

How do I remediate pytorch-mutex if I installed it?

pytorch-mutex is built to steal secrets, so assume every credential the build or runtime could read is compromised. Remove it from your project and lockfile, then rotate ALL exposed secrets — npm/registry tokens, cloud keys, CI/CD secrets, SSH keys, and any .env values — from a known-clean machine. Audit logs for unauthorized use of those credentials.

I already installed pytorch-mutex — how do I know if it already compromised me?

If pytorch-mutex was installed, its post-install payload may already have run. Removing the package does not undo that — check outbound connections and credential use from the install window onward.

Is pytorch-mutex part of a known attack campaign?

Yes — pytorch-mutex is associated with the GENERIC-standard-pypi-install-pentest campaign. Packages in the same campaign often share infrastructure and payloads, so check whether any related packages are also in your dependency tree.

How do I find pytorch-mutex across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for pytorch-mutex (6 malicious versions).

Malicious package

pytorch-mutexPyPI

Advisory published Jan 28, 2026Updated Jan 28, 2026

pytorch-mutex is a confirmed malicious PyPI package (MAL-2026-590) that steals credentials and exfiltrates sensitive data (malicious versions 0.0.0, 1, 7.0.0…). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in pytorch-mutex (PyPI)

MAL-2026-590

Immediate action

Remove the package, then rotate any secrets the build/runtime could reach.

pip uninstall pytorch-mutex

What this malware does

Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.

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.

Malicious versions

6 flagged

0.0.017.0.07.0.17.0.310.0.0

Indicators of compromise (SHA-256)

4959fc9ffb04b2e53d068fa3e6564a21dd3bd4b6374324416a643c3e58ebe330

59a2cea7a7578f7a9b290751c635ebf20230b644028ec76b9d1dca97e08c491e

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for pytorch-mutex (6 malicious versions).
If you installed it — respond
pytorch-mutex is built to steal secrets, so assume every credential the build or runtime could read is compromised. Remove it from your project and lockfile, then rotate ALL exposed secrets — npm/registry tokens, cloud keys, CI/CD secrets, SSH keys, and any .env values — from a known-clean machine. Audit logs for unauthorized use of those credentials.
Did it already run?
If pytorch-mutex was installed, its post-install payload may already have run. Removing the package does not undo that — check outbound connections and credential use from the install window onward.

Frequently asked questions

No. pytorch-mutex on PyPI has been identified as a malicious package (versions 0.0.0, 1, 7.0.0, 7.0.1, 7.0.3, 10.0.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

GENERIC-standard-pypi-install-pentest

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks pytorch-mutex-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.

Malware detection Runtime egress monitoring

Explore

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