Bug 2469196 (CVE-2026-2393)

Summary: CVE-2026-2393 mlflow: MLflow: Server-Side Request Forgery (SSRF) allows internal network access and data exfiltration.
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security <prodsec-ir-bot>
Status: NEW --- QA Contact:
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Priority: high    
Version: unspecifiedKeywords: Security
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Hardware: All   
OS: Linux   
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A flaw was found in MLflow. An authenticated attacker can exploit a Server-Side Request Forgery (SSRF) vulnerability by providing an unvalidated URL parameter to the `_create_webhook()` function. This allows the MLflow backend to be forced into sending HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input validation on the webhook URL enables this exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.
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Description OSIDB Bzimport 2026-05-11 18:03:02 UTC
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.