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CVE-2025-48383

8.2 · HIGH

Django-Select2 is a Django integration for Select2.

Published May 27, 2025CWE-402EPSS 0.31%

Overview

CVE-2025-48383 is a high-severity vulnerability. It was published on May 27, 2025 and has a CVSS 3.1 base score of 8.2 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

Django-Select2 is a Django integration for Select2. Prior to version 8.4.1, instances of HeavySelect2Mixin subclasses like the ModelSelect2MultipleWidget and ModelSelect2Widget can leak secret access tokens across requests. This can allow users to access restricted query sets and restricted data. This issue has been patched in version 8.4.1.

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.

Frequently asked questions

What is CVE-2025-48383?

CVE-2025-48383 is a high-severity vulnerability. It was published on May 27, 2025 and has a CVSS 3.1 base score of 8.2 (HIGH).

How severe is CVE-2025-48383?

This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-48383?

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-2025-48383?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-48383 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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