Which versions of requests-ml-min are malicious?

The following PyPI versions of requests-ml-min are flagged malicious: 3.45. Treat any of these as compromised.

How do I remediate requests-ml-min if I installed it?

requests-ml-min 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 requests-ml-min — how do I know if it already compromised me?

If requests-ml-min 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 requests-ml-min part of a known attack campaign?

Yes — requests-ml-min is associated with the 2026-02-urllib-slim 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 requests-ml-min across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for requests-ml-min (version 3.45).

Part of a larger attack: 2026-02-urllib-slim published 10 malicious packages. See the full campaign →

Malicious package

requests-ml-minPyPI

Advisory published Mar 4, 2026Updated Mar 23, 2026

requests-ml-min is a confirmed malicious PyPI package (MAL-2026-1240) that steals credentials and exfiltrates sensitive data (malicious version 3.45). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in requests-ml-min (PyPI)

MAL-2026-1240

Immediate action

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

pip uninstall requests-ml-min

What this malware does

During installation, the package starts obfuscated code that downloads and runs remote executables in specific environments. In some packages in the campaign, the code only attempts to exfiltrate some basic information using DNS requests and then likely cover tracks by installing a similarly named package from private repository

Related campaigns: 2026-02-spark-audit-notify, 2026-03-geekennedy

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

Campaign: 2026-02-urllib-slim

Reasons (based on the campaign):

typosquatting
Downloads and executes a remote executable.
obfuscation
dependency-confusion

Malicious versions

1 flagged

3.45

Indicators of compromise (SHA-256)

50b58a918d401d420b3c2cf32e907bfa5a54052427b44d64242e99cc7a164bb7

caf988849523549406a61384e2c9f8e01d6edf3ad71e5cba77ca7c3987863f1d

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for requests-ml-min (version 3.45).
If you installed it — respond
requests-ml-min 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 requests-ml-min 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. requests-ml-min on PyPI has been identified as a malicious package (version 3.45 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-02-urllib-slim

References

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks requests-ml-min-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