- CVSS
- HIGH · 8.6v3.1CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
- Published
- 2025-06-24
- Weakness
- CWE-119, CWE-195
- Source
- nvd.nist.gov/vuln/detail/CVE-2025-52566
Description
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.
References
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2025-52566 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.