CVE-2025-49847 (GCVE-0-2025-49847)
Vulnerability from cvelistv5 – Published: 2025-06-17 20:04 – Updated: 2025-06-18 13:41
VLAI
EPSS
VEX
Title
llama.cpp Vulnerable to Buffer Overflow via Malicious GGUF Model
Summary
llama.cpp is an inference of several LLM models in C/C++. Prior to version b5662, an attacker‐supplied GGUF model vocabulary can trigger a buffer overflow in llama.cpp’s vocabulary‐loading code. Specifically, the helper _try_copy in llama.cpp/src/vocab.cpp: llama_vocab::impl::token_to_piece() casts a very large size_t token length into an int32_t, causing the length check (if (length < (int32_t)size)) to be bypassed. As a result, memcpy is still called with that oversized size, letting a malicious model overwrite memory beyond the intended buffer. This can lead to arbitrary memory corruption and potential code execution. This issue has been patched in version b5662.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-18 13:40 UTC
CWE
Assigner
GitHub_M
CNA
References
2 references
| URL | Tags |
|---|---|
| https://github.com/ggml-org/llama.cpp/security/ad… | x_refsource_CONFIRM |
| https://github.com/ggml-org/llama.cpp/commit/3cfb… | x_refsource_MISC |
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