Which versions of oaieval are malicious?

The following PyPI versions of oaieval are flagged malicious: 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6. Treat any of these as compromised.

How do I remediate oaieval if I installed it?

oaieval 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 oaieval — how do I know if it already compromised me?

If oaieval 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 oaieval part of a known attack campaign?

Yes — oaieval is associated with the GENERIC-standard-pypi-install-pentest, RLMA-2026-00566 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 oaieval across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for oaieval (6 malicious versions).

Malicious package

oaievalPyPI

Advisory published Jul 26, 2024Updated Mar 19, 2026

oaieval is a confirmed malicious PyPI package (MAL-2024-12315) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.1, 1.0.2, 1.0.3…). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in oaieval (PyPI)

MAL-2024-12315

Immediate action

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

pip uninstall oaieval

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

1.0.11.0.21.0.31.0.41.0.51.0.6

Indicators of compromise (SHA-256)

4fd2d50c99b655b45a3a1a6846c006743a391654ac8f7558bda412b3b09fac14

fd257dee43f966eaacc56e07462eae9170a8a81dc1be6f0df9145f8c3a44de59

211ed96118a5f40e88c6197c74c89c6a29c7419332fa3d55b1353631ce1eb049

af87ffc864d83aeb78ff923fd197996a4c4641c2ff512ddd201d41ee94efe60a

e767a93790e5536e5bc019d6f94756873f724716638bc2b832cb26d3854b1916

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for oaieval (6 malicious versions).
If you installed it — respond
oaieval 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 oaieval 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. oaieval on PyPI has been identified as a malicious package (versions 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

GENERIC-standard-pypi-install-pentestRLMA-2026-00566

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193)
ReversingLabs · finder

Detect & block this

O3 blocks oaieval-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

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