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CVE-2025-11274

3.3 · LOW
Published Oct 5, 2025 assimp CWE-400 EPSS 0.19% (9th pctl)

Overview

CVE-2025-11274 is a low-severity vulnerability affecting assimp assimp. It was published on October 5, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

A vulnerability was determined in Open Asset Import Library Assimp 6.0.2. Affected is the function Q3DImporter::InternReadFile of the file assimp/code/AssetLib/Q3D/Q3DLoader.cpp. This manipulation causes allocation of resources. The attack is restricted to local execution. The exploit has been publicly disclosed and may be utilized.

Remediation

Check the references section for vendor advisories and patches from assimp. Update assimp to the latest patched version. 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.

Affected Products

Vendor Product Versions Status

Frequently Asked Questions

What is CVE-2025-11274?

CVE-2025-11274 is a low-severity vulnerability affecting assimp assimp. It was published on October 5, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2025-11274?

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-11274?

Check the references section for vendor advisories and patches from assimp. Update assimp to the latest patched version. 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-2025-11274?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-11274 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.