Malicious Code Detected in firebase-queue-client Package

firebase-queue-client Updated 02 Oct 2025

Summary

14/08/2025

Disclosed on

CRITICAL

Severity

No i

Fix available

Critical

Severity

Not published

CVSS Score

MAL-2025-20587: Malicious code in firebase-queue-client (npm). Affected versions are not published. No fix is published. How to fix ↓

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Background

The firebase-queue-client package is an npm library designed to facilitate the management of Firebase queues, allowing developers to handle asynchronous tasks efficiently. It is widely used in applications that require reliable task processing with Firebase. However, recent findings have revealed that this package contains malicious code, posing significant risks to users and their applications.

Vulnerability Detail

The vulnerability in the firebase-queue-client package stems from the inclusion of malicious code, which can compromise the security of applications utilizing this library. This code may lead to unauthorized access, data breaches, or other harmful actions that could affect both the integrity of the application and the privacy of its users. The malicious code was introduced in version 0 and has been flagged as a critical security concern.

How To Fix

This package is malicious. Remove it and rotate any credentials it could have accessed.

npm uninstall firebase-queue-client

If it arrived as a transitive dependency, remove the package that pulled it in, then reinstall.

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Workaround

As a temporary measure, consider removing the firebase-queue-client package from your project until a secure version is released. You can do this by executing the following command: npm uninstall firebase-queue-client. This will help mitigate the risks associated with the malicious code until a fix is available.

Conclusion

The discovery of malicious code in the firebase-queue-client package highlights the importance of maintaining secure dependencies in software development. Users are advised to update or remove the affected package to safeguard their applications against potential threats.

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