CVE-2026-2393

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

Published May 11, 2026 CVSS 3.0 · 7.1 High EPSS < 1% KEV · Not listed
Description
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.

Remediation

No solution or workaround provided in the CVE record

Tracking

Sign in to view the affected projects.

Advisories

Source ID Title
Github GHSA Github GHSA GHSA-65h7-c7c4-mghx MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability
History
Type Values Removed Values Added
First Time appeared Lfprojects
Lfprojects mlflow
CPEs cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Vendors & Products Lfprojects
Lfprojects mlflow
Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'poc', 'Technical Impact': 'partial'}, 'version': '2.0.3'}

Type Values Removed Values Added
First Time appeared Mlflow
Mlflow mlflow/mlflow
Vendors & Products Mlflow
Mlflow mlflow/mlflow
Type Values Removed Values Added
Description 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.
Title Server-Side Request Forgery (SSRF) in mlflow/mlflow
Weaknesses CWE-918
References
Metrics cvssV3_0

{'score': 7.1, 'vector': 'CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N'}

Weaknesses

Sources

Status
PUBLISHED
Assigner
@huntr_ai
Published
Updated
May 11, 2026, 6:52 PM
Reserved
Feb 12, 2026, 9:36 AM
Status
Analyzed
Published
May 11, 2026, 6:16 PM
Modified
Nov 11, 2026, 8:10 PM