CVE-2026-2393— MLflow 代码问题漏洞

Server-Side Request Forgery (SSRF) in mlflow/mlflow

A Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter without validation, and the `_send_webhook_request()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.

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服务端请求伪造(SSRF)

MLflow 代码问题漏洞

MLflow是MLflow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 3.9.0之前版本存在代码问题漏洞，该漏洞源于_create_webhook函数接受用户控制的url参数且未经验证，_send_webhook_request函数向攻击者控制的URL发送HTTP POST请求，可能导致经过身份验证的攻击者强制MLflow后端向内部服务、云元数据端点或任意外部服务器发送HTTP请求，进而导致云凭据窃取、内部网络访问和数据渗漏。

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