Which versions of npp-ml are malicious?

The following PyPI versions of npp-ml are flagged malicious: 0.1.7, 0.1.8, 0.1.9, 0.1.10. Treat any of these as compromised.

How do I remediate npp-ml if I installed it?

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

If npp-ml 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 npp-ml part of a known attack campaign?

Yes — npp-ml is associated with the 2026-10-npp-ml 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 npp-ml across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for npp-ml (4 malicious versions).

Malicious package

npp-mlPyPI

Advisory published Oct 12, 2026Updated Oct 13, 2026

npp-ml is a confirmed malicious PyPI package (MAL-2026-17847) that steals credentials and exfiltrates sensitive data (malicious versions 0.1.7, 0.1.8, 0.1.9…). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in npp-ml (PyPI)

MAL-2026-17847

Immediate action

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

pip uninstall npp-ml

What this malware does

The package claims to provide a Notepad++ distribution, but in fact delivers ADExplorer, an Active Directory analysis tool.

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

Campaign: 2026-10-npp-ml

Reasons (based on the campaign):

other
impersonation

Malicious versions

4 flagged

0.1.70.1.80.1.90.1.10

Indicators of compromise (SHA-256)

7f575d02caf2363703b49c45c7f5ba106b798ee4f5b02f1977b118f2b52ff30e

14fea11838b844155e70cb38accede0c1bf97ebcf3e85a29ea6588f252e10ce0

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for npp-ml (4 malicious versions).
If you installed it — respond
npp-ml 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 npp-ml 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. npp-ml on PyPI has been identified as a malicious package (versions 0.1.7, 0.1.8, 0.1.9, 0.1.10 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-10-npp-ml

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks npp-ml-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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