CVE-2026-10197
3.3 · LOWA vulnerability was detected in Assimp up to 6.0.4.
Overview
CVE-2026-10197 is a low-severity vulnerability. It was published on May 31, 2026 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 detected in Assimp up to 6.0.4. Affected is the function glTF2Importer::ImportEmbeddedTextures in the library code/AssetLib/glTF2/glTF2Importer.cpp of the component TF File Handler. The manipulation results in null pointer dereference. The attack is only possible with local access. The exploit is now public and may be used. It is advisable to implement a patch to correct this issue. The pull request to fix this issue awaits acceptance.
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.
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Frequently asked questions
What is CVE-2026-10197?
CVE-2026-10197 is a low-severity vulnerability. It was published on May 31, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2026-10197?
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-2026-10197?
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-2026-10197?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-10197 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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