CVE-2026-33298— llama.cpp 输入验证错误漏洞

llama.cpp has a Heap Buffer Overflow via Integer Overflow in GGUF Tensor Parsing

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:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

堆缓冲区溢出

llama.cpp 输入验证错误漏洞

llama.cpp是Georgi Gerganov个人开发者的一个多模态模型。 llama.cpp b7824之前版本存在输入验证错误漏洞，该漏洞源于ggml_nbytes函数存在整数溢出，可能导致堆缓冲区溢出和远程代码执行。

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