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CVE-2026-52131

7.5 · HIGH

llama.cpp b5693 and before has a Reachable Assertion via the gguf_reader::read function.

Published Sep 1, 2026ggmlCWE-617EPSS 0.43%

Overview

CVE-2026-52131 is a high-severity vulnerability affecting ggml llama.cpp. It was published on September 1, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

llama.cpp b5693 and before has a Reachable Assertion via the gguf_reader::read function.

Remediation

Check the references section for vendor advisories and patches from ggml. Update llama.cpp 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

VendorProductVersionsStatus
ggmlllama.cpp0Affected

Frequently asked questions

What is CVE-2026-52131?

CVE-2026-52131 is a high-severity vulnerability affecting ggml llama.cpp. It was published on September 1, 2026 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2026-52131?

This vulnerability has a CVSS 3.1 base score of 7.5, 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-2026-52131?

Check the references section for vendor advisories and patches from ggml. Update llama.cpp 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-2026-52131?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-52131 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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