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 b4882版本至b9058版本存在安全漏洞,该漏洞源于KV缓存状态恢复路径中state_read_data()函数计算写入大小时未进行溢出检查,可能导致具有slot_save_path目录写权限的攻击者破坏堆内存,通过构造恶意状态文件写入越界数据,造成堆元数据损坏、模型权重损坏或任意代码执行。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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-2026-43622 | 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-2026-70638 | 7.8 HIGH | llama.cpp b1886–b7445 Integer Overflow via new_1batch() in llama-android.cpp |
| 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 |
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