CVE-2025-52566
HIGHDescription
llama.cpp is an inference of several LLM models in C/C++. Prior to version b5721, there is a signed vs. unsigned integer overflow in llama.cpp's tokenizer implementation (llama_vocab::tokenize) (src/llama-vocab.cpp:3036) resulting in unintended behavior in tokens copying size comparison. Allowing heap-overflowing llama.cpp inferencing engine with carefully manipulated text input during tokenization process. This issue has been patched in version b5721.
How to fix
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Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.
CVSS v3 Vector
Exploitability
Impact
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Exploit Intelligence
Low risk: more likely to be exploited than 24% of all known CVEs.
References
Related Vulnerabilities
Other CWE-119 (Buffer Overflow) vulnerabilities, ordered by exploit likelihood. View all
| CVE | Severity | CVSS | EPSS | Exploited | Fix |
|---|---|---|---|---|---|
| CVE-2023-4966 | Critical | 9.4 | 100% | KEV + Ransom | Fix |
| CVE-2017-11882 | High | 7.8 | 100% | KEV + Ransom | - |
| CVE-2020-0796 | Critical | 10.0 | 100% | KEV + Ransom | - |
| CVE-2008-4250 | Critical | 9.8 | 99% | KEV | - |
| CVE-2017-15944 | Critical | 9.8 | 98% | KEV | Fix |
| CVE-2015-0014 | High | 10.0 | 97% | - | - |
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2025-08-27.