CVE-2026-33298
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.
Package Versions Affected
Automatically patch vulnerabilities without upgrading
CVSS Version



Related Resources
References
https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/33xxx/CVE-2026-33298.json, https://github.com/ggml-org/llama.cpp/releases/tag/b7824, https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-96jg-mvhq-q7q7, https://nvd.nist.gov/vuln/detail/CVE-2026-33298
