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CVE-2026-33298

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

Description (CNA)

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.

Affected (CNA)

Vendor / productVersions
ggml-org / llama.cppaffected < b7824

CWE

CWE-122, CWE-190

References

ADP enrichment

CISA-ADP

No English description supplied.

No references supplied.