MLflow 是一个面向智能体、大语言模型和机器学习模型的开源 AI 工程平台。在 3.12.0rc0 至 3.17.0 版本期间, 中针对第三方评分器(scorer)的反序列化逻辑存在缺陷:它接受由请求方指定的、属于 所允许模块的子模块(descendants),而非强制要求完全匹配允许的模块。攻击者可利用 MLflow 的工件(artifact)端点,在一个可写的允许包下放置自定义 Python 模块,随后通过 接口提交该模块及其类。 方法会在进行追踪(trace)处理之前导入该模块并实例化其类。在禁用身份验证
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| # | POC Description | Source Link | Shenlong Link |
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Login to generate AI POC| CVE-2026-116690 | 7.5 HIGH | MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version sou |
| CVE-2026-116691 | 6.5 MEDIUM | MLflow CrewAI autologging records LLM provider API keys in logged trace spans |