Which versions of gpu-discovery are malicious?

The following PyPI versions of gpu-discovery are flagged malicious: 99.99.99. Treat any of these as compromised.

How do I remediate gpu-discovery if I installed it?

gpu-discovery 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 gpu-discovery — how do I know if it already compromised me?

If gpu-discovery 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 gpu-discovery part of a known attack campaign?

Yes — gpu-discovery 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 gpu-discovery across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for gpu-discovery (version 99.99.99).

Malicious package

gpu-discoveryPyPI

Advisory published Feb 10, 2026Updated Feb 14, 2026

gpu-discovery is a confirmed malicious PyPI package (MAL-2024-12373) that steals credentials and exfiltrates sensitive data (malicious version 99.99.99). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in gpu-discovery (PyPI)

MAL-2024-12373

Immediate action

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

pip uninstall gpu-discovery

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

1 flagged

99.99.99

Indicators of compromise (SHA-256)

ea1fffa4a4969c85232301df3c8d107642ac143fbf51600d166cfd2f8d536e10

b88b5d159a81e51b534e569c8ea7c5657237a7d33d09c56aa8793482ef5cd136

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for gpu-discovery (version 99.99.99).
If you installed it — respond
gpu-discovery 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 gpu-discovery 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. gpu-discovery on PyPI has been identified as a malicious package (version 99.99.99 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 gpu-discovery-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

All malware advisories How O3 detects malware Vulnerability database