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CVE-2024-21836

8.8 · HIGH
Published Feb 26, 2024 ggml CWE-190 EPSS 1.35% (70th pctl)

Overview

CVE-2024-21836 is a high-severity vulnerability affecting ggml llama.cpp. It was published on February 26, 2024 and has a CVSS 3.1 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

A heap-based buffer overflow vulnerability exists in the GGUF library header.n_tensors functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability.

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

Vendor Product Versions Status
ggml llama.cpp >= 0, < 2024-01-09 Affected

Frequently Asked Questions

What is CVE-2024-21836?

CVE-2024-21836 is a high-severity vulnerability affecting ggml llama.cpp. It was published on February 26, 2024 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2024-21836?

This vulnerability has a CVSS 3.1 base score of 8.8, 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-2024-21836?

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-2024-21836?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-21836 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.