What does the nebulallm malware do?

During installation package first downloads a JScript script, which then downloads the next malicious DLL. Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2026-10-nebulallm Reasons (based on the campaign): - typosquatting - The package overrides the install command in setup.py to execute malicious code during installation. - Downloads and executes a remote executable. - Downloads and executes a remote malicious script. - malware

Which versions of nebulallm are malicious?

The following PyPI versions of nebulallm are flagged malicious: 1.4.3. Treat any of these as compromised.

How do I remediate nebulallm if I installed it?

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

If nebulallm 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 nebulallm part of a known attack campaign?

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

Search your lockfiles and build artifacts for nebulallm (version 1.4.3).

Malicious package

nebulallmPyPI

Advisory published Oct 25, 2026Updated Oct 25, 2026

nebulallm is a confirmed malicious PyPI package (MAL-2026-18297) that steals credentials and exfiltrates sensitive data (malicious version 1.4.3). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in nebulallm (PyPI)

MAL-2026-18297

Immediate action

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

pip uninstall nebulallm

What this malware does

During installation package first downloads a JScript script, which then downloads the next malicious DLL.

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

Campaign: 2026-10-nebulallm

Reasons (based on the campaign):

typosquatting
The package overrides the install command in setup.py to execute malicious code during installation.
Downloads and executes a remote executable.
Downloads and executes a remote malicious script.
malware

Malicious versions

1 flagged

1.4.3

Indicators of compromise (SHA-256)

50e0ed125f08fd7743ccfb40590c24304b4731f6a99b69bc553b5bb8b7e57fc6

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for nebulallm (version 1.4.3).
If you installed it — respond
nebulallm 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 nebulallm 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. nebulallm on PyPI has been identified as a malicious package (version 1.4.3 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-10-nebulallm

References

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks nebulallm-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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