Which versions of szn-url are malicious?

The following PyPI versions of szn-url are flagged malicious: 1.0.1, 1.0.2. Treat any of these as compromised.

How do I remediate szn-url if I installed it?

szn-url 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 szn-url — how do I know if it already compromised me?

If szn-url 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 szn-url part of a known attack campaign?

Yes — szn-url 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 szn-url across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for szn-url (2 malicious versions).

Malicious package

szn-urlPyPI

Advisory published Jul 26, 2024Updated Dec 31, 2025

szn-url is a confirmed malicious PyPI package (MAL-2024-12357) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.1, 1.0.2). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in szn-url (PyPI)

MAL-2024-12357

Immediate action

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

pip uninstall szn-url

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

2 flagged

1.0.11.0.2

Indicators of compromise (SHA-256)

767256aa305f371f8d2eb7131ed8e483b8fa6e29ecf4b906636ca15b7e46d8d4

8dbd5099f883c22c11b6c3e27f199e23751f72efa73b3aac476a63ab17dda5dd

c31e2c28a3b60f0516273781f55290a406345a3b26e1b61378949eb5f82f58cf

8b6b4d13b866d39a292d8baddd358138fabb7a21e579140b6f779c584f70948c

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for szn-url (2 malicious versions).
If you installed it — respond
szn-url 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 szn-url 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. szn-url on PyPI has been identified as a malicious package (versions 1.0.1, 1.0.2 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 szn-url-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