Which versions of pyioler are malicious?

The following PyPI versions of pyioler are flagged malicious: 1.0.1. Treat any of these as compromised.

How do I remediate pyioler if I installed it?

pyioler 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 pyioler — how do I know if it already compromised me?

If pyioler 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 pyioler part of a known attack campaign?

Yes — pyioler is associated with the RLMA-2024-04514 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 pyioler 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 pyioler (version 1.0.1). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging pyioler across your stack and pipelines.

Malicious package

pyiolerPyPI

Malicious code in pyioler (PyPI) Remove it immediately and rotate any exposed credentials.

MAL-2023-8575

Immediate action

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

pip uninstall pyioler

What this malware does

Malicious packages campaign targeting developers, payload is hidden using Steganography, exfiltrate host information

Malicious versions

1 flagged

1.0.1

Indicators of compromise (SHA-256)

b5a0ae31e85484643163bd7b0da8800b531141a1e5d14a97f534b2bfdbefb531

d68b8663322816c15c5351100296dbf8a7ce750f389878e5adda793cf9120f65

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 pyioler (version 1.0.1). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging pyioler across your stack and pipelines.
If you installed it — respond
pyioler 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 pyioler 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 pyioler 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. pyioler on PyPI has been identified as a malicious package (version 1.0.1 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

RLMA-2024-04514

References

Credits

Checkmarx · finder
ReversingLabs · finder

Detect & block this

O3 blocks pyioler-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