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Open-source package vulnerability · PyPI

CVE-2024-10082: codechecker authentication method confusion vulnerability allows logging in as the built-in root user from an external service

criticalCVSS 4.0 9.4 · 3.1 8.7GHSA-fpm5-2wcj-vfr7

Summary Authentication method confusion allows logging in as the built-in root user from an external service. The built-in root user is generated in a weak manner, cannot be disabled, and has universal access. Details Until CodeChecker version 6.24.1 there was an auto-generated super-user account that could not be disabled. The attacker needs to know only the username of the root user.

Published Nov 6, 2024 · Updated Nov 15, 2025

Affected packages

codechecker

Ecosystem
PyPI
Affected
<= 6.24.1
Fixed in
6.24.2
Check
pip show codechecker

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Summary

Authentication method confusion allows logging in as the built-in root user from an external service. The built-in root user is generated in a weak manner, cannot be disabled, and has universal access.

Details

Until CodeChecker version 6.24.1 there was an auto-generated super-user account that could not be disabled. The attacker needs to know only the username of the root user.

This root user is unconditionally assigned superuser permissions.

Which means that if any user via any service logs in with the root user's username, they will unconditionally have superuser permissions on the CodeChecker instance.

The name of the user name can be found in root.user file in the CodeChecker configuration directory. You can check if you are impacted by checking the existence of this user in the external authentication services (e.g. LDAP, PAM etc.).

Impact

This vulnerability allows an attacker who can create an account on an enabled external authentication service, to log in as the root user, and access and control everything that can be controlled via the web interface. The attacker needs to acquire the username of the root user to be successful.

Credited to Discookie.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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