Which versions of keystackutilities are malicious?

The following PyPI versions of keystackutilities are flagged malicious: 99.99.1, 99.99.2, 99.99.3, 99.99.4. Treat any of these as compromised.

How do I remediate keystackutilities if I installed it?

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

If keystackutilities 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 keystackutilities part of a known attack campaign?

Yes — keystackutilities 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 keystackutilities across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for keystackutilities (4 malicious versions).

Malicious package

keystackutilitiesPyPI

Advisory published Apr 17, 2026Updated Apr 17, 2026

keystackutilities is a confirmed malicious PyPI package (MAL-2026-2833) that steals credentials and exfiltrates sensitive data (malicious versions 99.99.1, 99.99.2, 99.99.3…). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in keystackutilities (PyPI)

MAL-2026-2833

Immediate action

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

pip uninstall keystackutilities

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

4 flagged

99.99.199.99.299.99.399.99.4

Indicators of compromise (SHA-256)

4b76e011fdc2ff62186e932ab958f9daf671bcc8e727dcaed74441489b229468

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for keystackutilities (4 malicious versions).
If you installed it — respond
keystackutilities 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 keystackutilities 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. keystackutilities on PyPI has been identified as a malicious package (versions 99.99.1, 99.99.2, 99.99.3, 99.99.4 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 keystackutilities-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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