Which versions of supersafecalc are malicious?

The following PyPI versions of supersafecalc are flagged malicious: 2.0.0, 2.0.1, 3.0.1. Treat any of these as compromised.

How do I remediate supersafecalc if I installed it?

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

If supersafecalc 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 supersafecalc part of a known attack campaign?

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

Search your lockfiles and build artifacts for supersafecalc (3 malicious versions).

Malicious package

supersafecalcPyPI

Advisory published Jul 28, 2025Updated Dec 12, 2025

supersafecalc is a confirmed malicious PyPI package (MAL-2025-191881) that steals credentials and exfiltrates sensitive data (malicious versions 2.0.0, 2.0.1, 3.0.1). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in supersafecalc (PyPI)

MAL-2025-191881

Immediate action

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

pip uninstall supersafecalc

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

3 flagged

2.0.02.0.13.0.1

Indicators of compromise (SHA-256)

73e1cc99e0130fa0f184ade0d88f1d3e2e7c03061f1aa8486df169a73583229d

7e6f4c47c6eaf1976109a771b78c82dbda4409960e11301f85bf120add36b78c

c1d27f510d8cdefa593bdc4566545621d011a34a90ae60f0d19e382ebf0be3a1

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for supersafecalc (3 malicious versions).
If you installed it — respond
supersafecalc 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 supersafecalc 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. supersafecalc on PyPI has been identified as a malicious package (versions 2.0.0, 2.0.1, 3.0.1 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 supersafecalc-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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