Which versions of sjc are malicious?

The following PyPI versions of sjc are flagged malicious: 9.6. Treat any of these as compromised.

How do I remediate sjc if I installed it?

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

If sjc 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 sjc part of a known attack campaign?

Yes — sjc is associated with the RLMA-2024-11165, 2024-11-byted-dast, RLUA-2026-00761 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 sjc across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for sjc (version 9.6).

Part of a larger attack: 2024-11-byted-dast published 183 malicious packages. See the full campaign →

Malicious package

sjcPyPI

Advisory published Nov 6, 2024Updated Mar 19, 2026

sjc is a confirmed malicious PyPI package (MAL-2024-11707) that steals credentials and exfiltrates sensitive data (malicious version 9.6). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in sjc (PyPI)

MAL-2024-11707

Immediate action

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

pip uninstall sjc

What this malware does

A campaign of probably pentest packages flooding PYPI. Installing the package or importing the module triggers reporting basic info like hostname, path and the username to the package author. There is no other purpose of the package.

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: 2024-11-byted-dast

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.
typosquatting
dependency-confusion

Malicious versions

1 flagged

9.6

Indicators of compromise (SHA-256)

760bc6bfb38c9472d8c710d2e8b4bb067344fc8eac234e5cbf98f246cef7e30e

907511770ce985f93aa91f70f2c66c4b8e6e104d2606cb0cad86b9ec9c27c4e8

71f3307413c616a4f315b9b5c1670c54e14682823c92d77f84a202f11983b5c3

31764514d0403c6acbe3987838aab88300002c22b9fa14f3f69592fef4e93e86

f5b3bef898fa7f8294bcdd2c50035fd3c359844993dca3c3aacfb3f5678b1994

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for sjc (version 9.6).
If you installed it — respond
sjc 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 sjc 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. sjc on PyPI has been identified as a malicious package (version 9.6 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

RLMA-2024-111652024-11-byted-dastRLUA-2026-00761

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193)
ReversingLabs · finder

Detect & block this

O3 blocks sjc-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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