Which versions of roku-aihub are malicious?

The following PyPI versions of roku-aihub are flagged malicious: 0.3.1. Treat any of these as compromised.

How do I remediate roku-aihub if I installed it?

roku-aihub 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 roku-aihub — how do I know if it already compromised me?

If roku-aihub 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 roku-aihub part of a known attack campaign?

Yes — roku-aihub is associated with the GENERIC-standard-pypi-install-pentest, GENERIC-hackerone-bugbounty 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 roku-aihub across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for roku-aihub (version 0.3.1).

Malicious package

roku-aihubPyPI

Advisory published Mar 2, 2026Updated Apr 10, 2026

roku-aihub is a confirmed malicious PyPI package (MAL-2026-1144) that steals credentials and exfiltrates sensitive data (malicious version 0.3.1). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in roku-aihub (PyPI)

MAL-2026-1144

Immediate action

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

pip uninstall roku-aihub

What this malware does

Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.

Category: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.

Campaign: GENERIC-standard-pypi-install-pentest

Reasons (based on the campaign):

The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.
The package overrides the install command in setup.py to execute malicious code during installation.

Malicious versions

1 flagged

0.3.1

Indicators of compromise (SHA-256)

19b48d460fde1b6b9802a2f2b7d93928f89b0474235adc54553971ed4575e5df

1753b413598748e03f36191524f98e78fe0479b00832349b56e9e1864c7bdb57

e6896930d8381020e505cb2752d6525490b09056cd98dd269d961892753a6da1

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for roku-aihub (version 0.3.1).
If you installed it — respond
roku-aihub 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 roku-aihub 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. roku-aihub on PyPI has been identified as a malicious package (version 0.3.1 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

GENERIC-standard-pypi-install-pentestGENERIC-hackerone-bugbounty

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks roku-aihub-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