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CVE-2025-65431

5.4 · MEDIUM

An issue was discovered in allauth-django before 65.13.0.

Published Dec 15, 2025CWE-287EPSS 0.16%

Overview

CVE-2025-65431 is a medium-severity vulnerability. It was published on December 15, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

An issue was discovered in allauth-django before 65.13.0. Both Okta and NetIQ were using preferred_username as the identifier for third-party provider accounts. That value may be mutable and should therefore be avoided for authorization decisions. The providers are now using sub instead.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Refallauth.org/news/2025/10/django-allauth-65.13.0-released/

How CyberStrike helps

Frequently asked questions

What is CVE-2025-65431?

CVE-2025-65431 is a medium-severity vulnerability. It was published on December 15, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).

How severe is CVE-2025-65431?

This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-65431?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-65431?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-65431 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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