Which versions of ml-fdbk-shared are malicious?

The following PyPI versions of ml-fdbk-shared are flagged malicious: 1.0.0, 2.3.1. Treat any of these as compromised.

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

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

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

Yes — ml-fdbk-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-fdbk-shared across my projects, lockfiles, and CI pipelines?

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

Malicious package

ml-fdbk-sharedPyPI

Advisory published Jul 30, 2026Updated Jul 30, 2026

ml-fdbk-shared is a confirmed malicious PyPI package (MAL-2026-11200) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.0, 2.3.1). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in ml-fdbk-shared (PyPI)

MAL-2026-11200

Immediate action

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

pip uninstall ml-fdbk-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

1.0.02.3.1

Indicators of compromise (SHA-256)

2f2313f59d10884a764cb2e2dbfe3aa8ae97545c995785f65ca1e856b4a29b8c

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for ml-fdbk-shared (2 malicious versions).
If you installed it — respond
ml-fdbk-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-fdbk-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-fdbk-shared on PyPI has been identified as a malicious package (versions 1.0.0, 2.3.1 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-fdbk-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