Which versions of ml-shared are malicious?

The following PyPI versions of ml-shared are flagged malicious: 6.3.0, 8.8.0. Treat any of these as compromised.

How do I remediate ml-shared if I installed it?

ml-shared 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 ml-shared — how do I know if it already compromised me?

If ml-shared 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-shared part of a known attack campaign?

Yes — ml-shared is associated with the 2026-07-ml-shared, IN-MAL-2026-011072, IN-MAL-2026-011089 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-shared across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for ml-shared (2 malicious versions).

Malicious package

ml-sharedPyPI

Advisory published Jul 30, 2026Updated Aug 4, 2026

ml-shared is a confirmed malicious PyPI package (MAL-2026-11202) that steals credentials and exfiltrates sensitive data (malicious versions 6.3.0, 8.8.0). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in ml-shared (PyPI)

MAL-2026-11202

Immediate action

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

pip uninstall ml-shared

What this malware does

setup.py defines a function named analytics() that collects the installer's hostname, username, current working directory, and the entire process environment (dict(os.environ)) and POSTs it as JSON to https://request-forwarder.a-d-a-m.workers.dev/. The routine fires both at module top-level (executed during pip's build/install of the sdist) and via a PostInstallCommand hooked into cmdclass={'install':...}, so it runs on pip install without user interaction. On CI/build agents the bulk os.environ dump routinely contains credentials such as AWS_*, GITHUB_TOKEN, NPM_TOKEN, PYPI_TOKEN, and other secret-shaped variables. The destination is an anonymous Cloudflare Workers subdomain unrelated to any declared publisher, the function is named analytics as a cover, and code lines are padded with trailing whitespace consistent with evasion of casual review.

During installation, package exfiltrates basic info and all environmental variables.

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

Campaign: 2026-07-ml-shared

Reasons (based on the campaign):

exfiltration-env-variables
The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.

Malicious versions

2 flagged

6.3.08.8.0

Indicators of compromise (SHA-256)

4f4ae8fee891c54953efa7c796a605e700fc827131feff0243f0b3bc8bd6a260

1ba1dc0bbc1690cd8c43d159eeb9306837b653cb92d6ed9eed9d14dd115a9990

89a726ddb6cfd4ce7da05b1b8c75e896e38789aa418c71d4db76f499b5727cb3

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for ml-shared (2 malicious versions).
If you installed it — respond
ml-shared 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 ml-shared 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-shared on PyPI has been identified as a malicious package (versions 6.3.0, 8.8.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-07-ml-sharedIN-MAL-2026-011072IN-MAL-2026-011089

References

Credits

Amazon Inspector · finder
Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks ml-shared-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