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 ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.

Is ml-shared part of a known attack campaign?

Yes — ml-shared is associated with the 2026-07-ml-shared 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?

Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for ml-shared (2 malicious versions). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging ml-shared across your stack and pipelines.

Malicious package

ml-sharedPyPI

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

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

Detection & response playbook

Credential / info stealer

Find it
Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for ml-shared (2 malicious versions). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging ml-shared across your stack and pipelines.
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 ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.
How O3 protects you
O3 blocks ml-shared before install through its supply-chain scanner, and if it has already run, detects and severs the exfiltration or C2 callback at runtime through L7 egress monitoring and eBPF.

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-shared

References

bad-packages.kam193.eu

Credits

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