- CVSS
- HIGH · 8.2v3.1CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
- Published
- 2026-10-27
- Weakness
- CWE-129
- Source
- nvd.nist.gov/vuln/detail/CVE-2024-58400
Description
llama.cpp before b3701 contains an out-of-bounds read vulnerability in llama_decode_internal and llama_encode_internal that allows remote unauthenticated attackers to read memory by supplying unvalidated token IDs. Attackers can send integer-array prompts to the llama-server /completion endpoint with IDs outside 0 to n_vocab to read embedding memory out of bounds or crash the process.
References
- https://github.com/ggml-org/llama.cpp/blob/b3681/examples/server/server.cpp#L789
- https://github.com/ggml-org/llama.cpp/commit/eae597182cb61bbde0b26e7cec5999d28b9327fe
- https://github.com/ggml-org/llama.cpp/commit/faf69d4237c9ae4d7f572b4674d1002463e8acd3
- https://github.com/ggml-org/llama.cpp/pull/9359
- https://github.com/ggml-org/llama.cpp/releases/tag/b3701
- https://www.vulncheck.com/advisories/llama-cpp-before-b3701-out-of-bounds-read-in-llama-decode-via-token-ids
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2024-58400 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.