ggml llama.cpp是ggml组织的一个在本地执行大语言模型推理的引擎。 ggml llama.cpp b1886至b7445版本存在安全漏洞,该漏洞源于LLaMA-Android JNI封装中的new_1batch()函数在未进行溢出验证的情况下,将sizeof(llama_seq_id)与攻击者控制的n_seq_max参数相乘,导致堆缓冲区分配回绕并分配不足内存,攻击者可通过恶意模型文件或JNI调用提供特制的n_seq_max值,触发堆破坏,导致拒绝服务或任意代码执行。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
| # | POC Description | Source Link | Shenlong Link |
|---|
| CVE-2026-43632 | 8.1 HIGH | llama.cpp b7492–b9060 Use-After-Free in Tokenization Endpoints |
| CVE-2026-43631 | 8.1 HIGH | llama.cpp b7492–b9060 Use-After-Free RCE via llama-server |
| CVE-2026-43629 | 8.1 HIGH | llama.cpp b4882–b9058 Buffer Overflow in KV Cache State Restore |
| CVE-2026-43622 | 7.8 HIGH | llama.cpp b1886–b7445 Double Free via llama-android.cpp |
| CVE-2026-43627 | 7.8 HIGH | llama.cpp b1283–b9058 Integer Overflow in llama_batch_init() Function |
| CVE-2026-43628 | 7.8 HIGH | llama.cpp b3978–b9058 Integer Underflow via DRY Sampler |
| CVE-2026-70640 | 7.0 HIGH | llama.cpp b1886–b7445 Race Condition Use-After-Free via llama-android.cpp |
| CVE-2026-43630 | 6.5 MEDIUM | llama.cpp b5702–b7653 Out-of-Bounds Read Information Disclosure |
| CVE-2026-70639 | 5.5 MEDIUM | llama.cpp b1886–b7445 Null Pointer Dereference DoS via llama-android.cpp |
No comments yet