Executive Summary
Informations | |||
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Name | CVE-2025-49847 | First vendor Publication | 2025-06-17 |
Vendor | Cve | Last vendor Modification | 2025-06-17 |
Security-Database Scoring CVSS v3
Cvss vector : N/A | |||
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Overall CVSS Score | NA | ||
Base Score | NA | Environmental Score | NA |
impact SubScore | NA | Temporal Score | NA |
Exploitabality Sub Score | NA | ||
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : | |||
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Cvss Base Score | N/A | Attack Range | N/A |
Cvss Impact Score | N/A | Attack Complexity | N/A |
Cvss Expoit Score | N/A | Authentication | N/A |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-49847 |
CWE : Common Weakness Enumeration
% | Id | Name |
---|---|---|
50 % | CWE-195 | Signed to Unsigned Conversion Error |
50 % | CWE-119 | Failure to Constrain Operations within the Bounds of a Memory Buffer |
Sources (Detail)
Source | Url |
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Alert History
Date | Informations |
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2025-06-19 02:34:39 |
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2025-06-19 02:34:32 |
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2025-06-18 21:20:34 |
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2025-06-18 00:20:33 |
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