Which versions of tensorflow-opt are malicious?

The following PyPI versions of tensorflow-opt are flagged malicious: 0.6, 0.7, 0.8, 0.9, 0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.20, 0.21, 0.22, 0.23, 0.24, 0.25, and 6 more. Treat any of these as compromised.

How do I remediate tensorflow-opt if I installed it?

tensorflow-opt 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 tensorflow-opt — how do I know if it already compromised me?

If tensorflow-opt 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 tensorflow-opt part of a known attack campaign?

Yes — tensorflow-opt is associated with the 2026-02-old-tensorflow-opt 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 tensorflow-opt across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for tensorflow-opt (26 malicious versions).

Malicious package

tensorflow-optPyPI

Advisory published Feb 22, 2026Updated Feb 22, 2026

tensorflow-opt is a confirmed malicious PyPI package (MAL-2026-983) that steals credentials and exfiltrates sensitive data (malicious versions 0.6, 0.7, 0.8…). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in tensorflow-opt (PyPI)

MAL-2026-983

Immediate action

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

pip uninstall tensorflow-opt

What this malware does

Package is likely a dependency confusion against some legitimate extension packages for TensorFlow but contains just cryptominers. When calling the "start" method, the cryptominer is copied from the package directory to the main TensorFlow installation dir, and the cryptomining for a hardcoded wallet starts.

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

Campaign: 2026-02-old-tensorflow-opt

Reasons (based on the campaign):

impersonation
dependency-confusion
cryptominer

Malicious versions

26 flagged

0.60.70.80.90.100.110.120.130.140.150.160.170.180.190.200.210.220.230.240.250.260.270.280.290.300.40

Indicators of compromise (SHA-256)

c2197ee3bfb727ff46f407a50a515013ad05c423bfe202eea90eb6b593f08b14

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for tensorflow-opt (26 malicious versions).
If you installed it — respond
tensorflow-opt 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 tensorflow-opt 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. tensorflow-opt on PyPI has been identified as a malicious package (versions 0.6, 0.7, 0.8, 0.9, 0.10, 0.11, 0.12, 0.13, and 18 more flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-02-old-tensorflow-opt

References

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks tensorflow-opt-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

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