MLflow是MLflow组织开源的一个简化机器学习开发的平台,包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow 3.15.0之前版本存在服务端请求伪造漏洞,该漏洞源于Webhook测试端点未充分验证URL且跟随重定向,可能导致攻击者访问内部或云元数据服务,造成服务端请求伪造。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 |
|---|---|---|---|
| 1 | MLflow > 3.15.0 contains an information disclosure vulnerability caused by improper validation of webhook URLs allowing attackers to reach internal or cloud metadata services and obtain response details, exploit requires unauthenticated access to the webhook test endpoint. | https://github.com/projectdiscovery/nuclei-templates/blob/main/http/cves/2026/CVE-2026-64849.yaml | POC Details |
No public POC found.
Login to generate AI POC| CVE-2026-69148 | 7.1 HIGH | MLflow: CreateModelVersion source validation does not check READ permission on referenced |
| CVE-2026-69146 | 6.5 MEDIUM | MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth |
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