What does the mlc-llm-nightly-cu123 malware do?

Installing the package exfiltrates information about the host, including environmental variables. Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2025-01-mlc-ai-nightly 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. - exfiltration-env-variables - dependency-confusion

Which versions of mlc-llm-nightly-cu123 are malicious?

The following PyPI versions of mlc-llm-nightly-cu123 are flagged malicious: 9.9.9. Treat any of these as compromised.

How do I remediate mlc-llm-nightly-cu123 if I installed it?

mlc-llm-nightly-cu123 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 mlc-llm-nightly-cu123 — how do I know if it already compromised me?

If mlc-llm-nightly-cu123 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 mlc-llm-nightly-cu123 part of a known attack campaign?

Yes — mlc-llm-nightly-cu123 is associated with the RLMA-2025-01224, 2025-01-mlc-ai-nightly, RLUA-2026-00529 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 mlc-llm-nightly-cu123 across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for mlc-llm-nightly-cu123 (version 9.9.9).

Malicious package

mlc-llm-nightly-cu123PyPI

Advisory published Jan 21, 2025Updated Mar 19, 2026

mlc-llm-nightly-cu123 is a confirmed malicious PyPI package (MAL-2025-1983) that steals credentials and exfiltrates sensitive data (malicious version 9.9.9). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in mlc-llm-nightly-cu123 (PyPI)

MAL-2025-1983

Immediate action

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

pip uninstall mlc-llm-nightly-cu123

What this malware does

Installing the package exfiltrates information about the host, including environmental variables.

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2025-01-mlc-ai-nightly

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.
exfiltration-env-variables
dependency-confusion

Malicious versions

1 flagged

9.9.9

Indicators of compromise (SHA-256)

c09da026c5998414ae1ced8ce734499d1dc89c5ff9e021755c9a9b85e9c989b3

c0fda091f5a44ec89e930d372a725909e28f2963a619d92f79951fd45b24c0ed

99d49619be0a9e2bcedb22bd4ea489b5cb31a56558e763a78fd09a6f948f2d9e

9105764dce3e0d70ff74829ac22ac99f7e3dbf80f13e2b88200d19a63d5f5568

54f140bbeafd740974d5233688d8a679b39ff01050980ba6aea1185b8111998c

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for mlc-llm-nightly-cu123 (version 9.9.9).
If you installed it — respond
mlc-llm-nightly-cu123 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 mlc-llm-nightly-cu123 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. mlc-llm-nightly-cu123 on PyPI has been identified as a malicious package (version 9.9.9 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

RLMA-2025-012242025-01-mlc-ai-nightlyRLUA-2026-00529

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193)
ReversingLabs · finder

Detect & block this

O3 blocks mlc-llm-nightly-cu123-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