Vulnerability Description
llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the `ggml_nbytes` function allows an attacker to bypass memory validation by crafting a GGUF file with specific tensor dimensions. This causes `ggml_nbytes` to return a significantly smaller size than required (e.g., 4MB instead of Exabytes), leading to a heap-based buffer overflow when the application subsequently processes the tensor. This vulnerability allows potential Remote Code Execution (RCE) via memory corruption. b7824 contains a fix.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Ggml | Llama.Cpp | < b7824 |
Related Weaknesses (CWE)
References
- https://github.com/ggml-org/llama.cpp/releases/tag/b7824Release Notes
- https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-96jg-mvhq-q7q7ExploitVendor Advisory
FAQ
What is CVE-2026-33298?
CVE-2026-33298 is a vulnerability with a CVSS score of 7.8 (HIGH). llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the `ggml_nbytes` function allows an attacker to bypass memory validation by crafting a G...
How severe is CVE-2026-33298?
CVE-2026-33298 has been rated HIGH with a CVSS base score of 7.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-33298?
Check the references section above for vendor advisories and patch information. Affected products include: Ggml Llama.Cpp.