CVE-2026-7482— Ollama 缓冲区错误漏洞

Ollama heap out-of-bounds read in GGUF tensor parsing leaks server process memory to unauthenticated remote attackers

Ollama before 0.17.1 contains a heap out-of-bounds read vulnerability in the GGUF model loader. The /api/create endpoint accepts an attacker-supplied GGUF file in which the declared tensor offset and size exceed the file's actual length; during quantization in fs/ggml/gguf.go and server/quantization.go (WriteTo()), the server reads past the allocated heap buffer. The leaked memory contents may include environment variables, API keys, system prompts, and concurrent users' conversation data, and can be exfiltrated by uploading the resulting model artifact through the /api/push endpoint to an attacker-controlled registry. The /api/create and /api/push endpoints have no authentication in the upstream distribution. Default deployments bind to 127.0.0.1, but the documented OLLAMA_HOST=0.0.0.0 configuration is widely used in practice (large public-internet exposure observed).

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H

跨界内存读

Ollama 缓冲区错误漏洞

Ollama是Ollama开源的一个可以在本地设备上运行、管理和自定义大语言模型的工具。 Ollama 0.17.1之前版本存在缓冲区错误漏洞，该漏洞源于GGUF模型加载器中堆越界读取，可能导致服务器读取超出分配的堆缓冲区，泄露的内存内容可能包括环境变量、API密钥、系统提示和并发用户的对话数据。

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