Which versions of caas-jupyter-tools are malicious?

The following PyPI versions of caas-jupyter-tools are flagged malicious: 0.0.2. Treat any of these as compromised.

How do I remediate caas-jupyter-tools if I installed it?

caas-jupyter-tools 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 caas-jupyter-tools — how do I know if it already compromised me?

If caas-jupyter-tools 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 caas-jupyter-tools part of a known attack campaign?

Yes — caas-jupyter-tools 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 caas-jupyter-tools across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for caas-jupyter-tools (version 0.0.2).

Malicious package

caas-jupyter-toolsPyPI

Advisory published Aug 19, 2025Updated Dec 3, 2025

caas-jupyter-tools is a confirmed malicious PyPI package (MAL-2025-191697) that steals credentials and exfiltrates sensitive data (malicious version 0.0.2). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in caas-jupyter-tools (PyPI)

MAL-2025-191697

Immediate action

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

pip uninstall caas-jupyter-tools

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

0.0.2

Indicators of compromise (SHA-256)

13bce61649470aab7d002005da937df95c7ebc1f0d59b7c1ae89aa03183fb334

48a472c7cfbdf9c730e06e827de93f0566895c78f6b1130ec814a31958409d94

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for caas-jupyter-tools (version 0.0.2).
If you installed it — respond
caas-jupyter-tools 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 caas-jupyter-tools 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. caas-jupyter-tools on PyPI has been identified as a malicious package (version 0.0.2 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)

Detect & block this

O3 blocks caas-jupyter-tools-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