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-org llama.cpp b1886版本至b7445版本存在异常处理不当漏洞,该漏洞源于LLaMA-Android JNI包装器中的bench_1model()函数在解引用模型上下文指针之前未验证该指针,攻击者可通过提供恶意、损坏或截断的模型文件触发空上下文条件,导致SIGSEGV崩溃,终止Android应用程序进程,造成拒绝服务。
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| # | POC Description | Source Link | Shenlong Link |
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No public POC found.
Login to generate AI POC| 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-2026-70638 | 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 |
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