llama.cpp before b2731 contains an out-of-bounds read vulnerability in llama_model_loader that allows attackers to read memory outside the mapped model file via crafted GGUF tensor offsets. Attackers can supply a crafted or truncated GGUF model file with arbitrary 64-bit tensor offsets to crash the process or load adjacent process memory as model weights.
Fix
Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.
Change history 6
- StatusAwaiting Analysis → PublishedNVD modified 2026-10-27 00:33
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-27 23:10
- StatusAwaiting Analysis → PublishedNVD modified 2026-10-27 00:33
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-27 15:59
- StatusReceived → PublishedNVD modified 2026-10-27 00:33
- First seenCVSS 6.9NVD modified 2026-10-27 01:19
Affected (CPE criteria) 0
NVD has not attached CPE configurations yet.
References 6
- https://github.com/ggml-org/llama.cpp/blob/b2730/llama.cpp#L3002-L3004
- https://github.com/ggml-org/llama.cpp/commit/0ead1f1072fdc70720f92e008a294dc74a826b1d
- https://github.com/ggml-org/llama.cpp/issues/6774
- https://github.com/ggml-org/llama.cpp/pull/6885
- https://github.com/ggml-org/llama.cpp/releases/tag/b2731
- https://www.vulncheck.com/advisories/llama-cpp-before-b2731-out-of-bounds-read-via-gguf-tensor-offsets