Which versions of credit-decision-metrics are malicious?

The following PyPI versions of credit-decision-metrics are flagged malicious: 9.1.0. Treat any of these as compromised.

How do I remediate credit-decision-metrics if I installed it?

credit-decision-metrics 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 credit-decision-metrics — how do I know if it already compromised me?

If credit-decision-metrics 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 credit-decision-metrics part of a known attack campaign?

Yes — credit-decision-metrics is associated with the 2026-02-zabitmajeed00, RLMA-2026-00228 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 credit-decision-metrics across my projects, lockfiles, and CI pipelines?

Search your lockfiles and build artifacts for credit-decision-metrics (version 9.1.0).

Malicious package

credit-decision-metricsPyPI

Advisory published Feb 2, 2026Updated Mar 19, 2026

credit-decision-metrics is a confirmed malicious PyPI package (MAL-2026-653) that steals credentials and exfiltrates sensitive data (malicious version 9.1.0). Do not install it — remove it immediately and rotate any exposed credentials.

Malicious code in credit-decision-metrics (PyPI)

MAL-2026-653

Immediate action

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

pip uninstall credit-decision-metrics

What this malware does

Obfuscated code is used to hide exfiltration of basic data (hostname, etc.).

Category: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.

Campaign: 2026-02-zabitmajeed00

Reasons (based on the campaign):

obfuscation
The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.
dependency-confusion

Malicious versions

1 flagged

9.1.0

Indicators of compromise (SHA-256)

4a0320017dad96c95d4741c311ead566b7d6bea0c7ffdceea82b435ce74a40de

d8e2c4b835c9deeaa4d98544c7ec6325d8e6e7fb2f3e08caf25ae7f618131204

Detection & response playbook

Credential / info stealer

Find it
Search your lockfiles and build artifacts for credit-decision-metrics (version 9.1.0).
If you installed it — respond
credit-decision-metrics 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 credit-decision-metrics 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. credit-decision-metrics on PyPI has been identified as a malicious package (version 9.1.0 flagged). It should be removed immediately — do not install or keep it in your dependency tree.

Campaign

2026-02-zabitmajeed00RLMA-2026-00228

References

bad-packages.kam193.eu

Credits

Kamil Mańkowski (kam193) · analyst
ReversingLabs · finder

Detect & block this

O3 blocks credit-decision-metrics-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