Which versions of ml-linear-regression-lib are malicious?

The following PyPI versions of ml-linear-regression-lib are flagged malicious: 1.1.3. Treat any of these as compromised.

How do I remediate ml-linear-regression-lib if I installed it?

Remove ml-linear-regression-lib from your project and lockfile, then assume any secrets accessible to the build or runtime were exposed: rotate API keys, tokens, and credentials, and audit for unexpected outbound activity or persistence.

I already installed ml-linear-regression-lib — how do I know if it already compromised me?

If ml-linear-regression-lib 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 ml-linear-regression-lib part of a known attack campaign?

Yes — ml-linear-regression-lib is associated with the RLMA-2024-08522 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 ml-linear-regression-lib across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for ml-linear-regression-lib (version 1.1.3).

Malicious package

ml-linear-regression-libPyPI

ml-linear-regression-lib is a confirmed malicious PyPI package (MAL-2024-10045) that executes malicious code on install (malicious version 1.1.3). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in ml-linear-regression-lib (PyPI)

MAL-2024-10045

Immediate action

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

pip uninstall ml-linear-regression-lib

Malicious versions

1 flagged

1.1.3

Indicators of compromise (SHA-256)

5b84e933a3bfda102fef705a6d602abed180abdeec563934bc25d79ce141d21a

Detection & response playbook

Malicious package

Find it
Search your lockfiles and build artifacts for ml-linear-regression-lib (version 1.1.3).
If you installed it — respond
Remove ml-linear-regression-lib from your project and lockfile, then assume any secrets accessible to the build or runtime were exposed: rotate API keys, tokens, and credentials, and audit for unexpected outbound activity or persistence.
Did it already run?
If ml-linear-regression-lib 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. ml-linear-regression-lib on PyPI has been identified as a malicious package (version 1.1.3 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

RLMA-2024-08522

Credits

ReversingLabs · finder

Detect & block this

O3 blocks ml-linear-regression-lib-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the malicious outbound activity and severs the channel.

Malware detection Runtime egress monitoring

Explore

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