Which versions of gangomodule are malicious?

The following PyPI versions of gangomodule are flagged malicious: 1.0.20, 1.0.37. Treat any of these as compromised.

How do I remediate gangomodule if I installed it?

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

If gangomodule 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 gangomodule part of a known attack campaign?

Yes — gangomodule is associated with the 2026-04-gangomodule 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 gangomodule across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for gangomodule (2 malicious versions).

Malicious package

gangomodulePyPI

Advisory published Apr 4, 2026Updated Apr 4, 2026

gangomodule is a confirmed malicious PyPI package (MAL-2026-2486) that steals credentials and exfiltrates sensitive data (malicious versions 1.0.20, 1.0.37). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in gangomodule (PyPI)

MAL-2026-2486

Immediate action

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

pip uninstall gangomodule

What this malware does

During installation, obfuscated code validates the environment against typical sandboxing signs and attempts to download the next stages from remote sources. The remote stage is a comprehensive infostealer collecting credentials from files and process memory, especially SSH keys, and covering tracks to make the forensic analysis more difficult. Naming suggests relation with a toolkit called "Aether"

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

Campaign: 2026-04-gangomodule

Reasons (based on the campaign):

Downloads and executes a remote malicious script.
The package contains code to detect if it is running in a sandbox environment.
obfuscation
infostealer
exfiltration-credentials
exfiltration-ssh-keys
files-exfiltration
exfiltration-env-variables
exfiltration-generic
covering-tracks

Malicious versions

2 flagged

1.0.201.0.37

Indicators of compromise (SHA-256)

8117683c90fb188f9fc013b3b3006dc5e31269d2511dd7c80eea9ac7b6892d09

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for gangomodule (2 malicious versions).
If you installed it — respond
gangomodule 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 gangomodule 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. gangomodule on PyPI has been identified as a malicious package (versions 1.0.20, 1.0.37 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-04-gangomodule

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193) · reporter

Detect & block this

O3 blocks gangomodule-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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