Vendor
Ggml
Products
1
CVEs
11
Across products
11
Status
Private
Products
1- 11 CVEs
Recent CVEs
11| CVE | Sev | Risk | CVSS | EPSS | KEV | Published | Description |
|---|---|---|---|---|---|---|---|
| CVE-2024-42479 | Cri | 0.58 | 10.0 | 0.06 | Aug 12, 2024 | llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address writing. This vulnerability is fixed in b3561. | |
| CVE-2026-34159 | Cri | 0.57 | 9.8 | 0.01 | Apr 1, 2026 | llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserialize_tensor() skips all bounds validation when a tensor's buffer field is 0. An unauthenticated attacker can read and write arbitrary process memory via crafted GRAPH_COMPUTE messages. Combined with pointer leaks from ALLOC_BUFFER/BUFFER_GET_BASE, this gives full ASLR bypass and remote code execution. No authentication required, just TCP access to the RPC server port. This issue has been patched in version b8492. | |
| CVE-2024-23605 | Hig | 0.57 | 8.8 | 0.00 | Feb 26, 2024 | A heap-based buffer overflow vulnerability exists in the GGUF library header.n_kv functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability. | |
| CVE-2024-23496 | Hig | 0.57 | 8.8 | 0.00 | Feb 26, 2024 | A heap-based buffer overflow vulnerability exists in the GGUF library gguf_fread_str functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability. | |
| CVE-2024-21836 | Hig | 0.57 | 8.8 | 0.00 | Feb 26, 2024 | A heap-based buffer overflow vulnerability exists in the GGUF library header.n_tensors functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability. | |
| CVE-2024-21825 | Hig | 0.57 | 8.8 | 0.00 | Feb 26, 2024 | A heap-based buffer overflow vulnerability exists in the GGUF library GGUF_TYPE_ARRAY/GGUF_TYPE_STRING parsing functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability. | |
| CVE-2024-21802 | Hig | 0.57 | 8.8 | 0.01 | Feb 26, 2024 | A heap-based buffer overflow vulnerability exists in the GGUF library info->ne functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability. | |
| CVE-2026-33298 | Hig | 0.51 | 7.8 | 0.00 | Mar 24, 2026 | llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the `ggml_nbytes` function allows an attacker to bypass memory validation by crafting a GGUF file with specific tensor dimensions. This causes `ggml_nbytes` to return a significantly smaller size than required (e.g., 4MB instead of Exabytes), leading to a heap-based buffer overflow when the application subsequently processes the tensor. This vulnerability allows potential Remote Code Execution (RCE) via memory corruption. b7824 contains a fix. | |
| CVE-2026-27940 | Hig | 0.51 | 7.8 | 0.00 | Mar 12, 2026 | llama.cpp is an inference of several LLM models in C/C++. Prior to b8146, the gguf_init_from_file_impl() in gguf.cpp is vulnerable to an Integer overflow, leading to an undersized heap allocation. Using the subsequent fread() writes 528+ bytes of attacker-controlled data past the buffer boundary. This is a bypass of a similar bug in the same file - CVE-2025-53630, but the fix overlooked some areas. This vulnerability is fixed in b8146. | |
| CVE-2024-42478 | Med | 0.27 | 5.3 | 0.00 | Aug 12, 2024 | llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address reading. This vulnerability is fixed in b3561. | |
| CVE-2024-42477 | Med | 0.27 | 5.3 | 0.00 | Aug 12, 2024 | llama.cpp provides LLM inference in C/C++. The unsafe `type` member in the `rpc_tensor` structure can cause `global-buffer-overflow`. This vulnerability may lead to memory data leakage. The vulnerability is fixed in b3561. |