CVE-2026-86317

A vulnerability was detected in ggml-org llama.cpp up to 0.4.0. This impacts the function rpcserver::deserializetensor of the file ggml/src/ggml-rpc/ggml-rpc.cpp of the component RPC Server. Performing a manipulation of the argument ne results in reachable assertion. The attack is possible to be...

PT-2026-79788

Name of the Vulnerable Software and Affected Versions llama.cpp version bec4772f6 Description A deserialization flaw exists in the ggml-RPC Server component. A remote attacker can trigger this issue by manipulating the op or op params arguments within the deserialize tensor function located in th...

SUSE CVE-2026-34159

llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserializetensor skips all bounds validation when a tensor's buffer field is 0. An unauthenticated attacker can read and write arbitrary process memory via crafted GRAPHCOMPUTE messages. Combined...

DEBIAN-CVE-2026-34159

llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserializetensor skips all bounds validation when a tensor's buffer field is 0. An unauthenticated attacker can read and write arbitrary process memory via crafted GRAPHCOMPUTE messages. Combined...

CVE-2026-34159

llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserializetensor skips all bounds validation when a tensor's buffer field is 0. An unauthenticated attacker can read and write arbitrary process memory via crafted GRAPHCOMPUTE messages. Combined...

llama.cpp 缓冲区错误漏洞

Llama.cpp is a multimodal model developed by Georgi Gerganov. Prior versions of llama.cpp b8492 contained a buffer error vulnerability. This vulnerability stemmed from the deserializetensor function in the RPC backend, which skipped all boundary verifications when the buffer field of the tensor w...