CVE-2025-0453 Denial of Service through Batched Queries in GraphQL in mlflow/mlflow
An attacker can cause denial of service in MLflow by sending large batches of GraphQL queries, exhausting server workers.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2025-0453?
CVE-2025-0453 is a medium-severity denial of service vulnerability in Lfprojects Mlflow, published on 20 Mar 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official 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.
Weakness: CWE-410
Which versions are affected by CVE-2025-0453?
4 open source packages ship an affected version, including mlflow. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
mlflow Bitnami | From 2.17.2 | 2.18.0 |
mlflow PyPI | All versions to 2.17.2 | None |
mlflow PyPI | All versions to 2.17.2 | None |
mlflow PyPI | All versions to 2.17.2 | None |
Products include Lfprojects Mlflow.
How do I fix CVE-2025-0453?
Upgrade mlflow to 2.18.0 or later.
Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.
Is CVE-2025-0453 being exploited?
It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-0453 exists.
Other vulnerabilities in Lfprojects Mlflow
- CVE-2026-64849 MLflow Server-Side Request Forgery
- CVE-2025-15379 Command Injection in mlflow/mlflow
- CVE-2024-0520 Remote Code Execution due to Full Controlled File Write in mlflow/mlflow
- CVE-2023-6977 Path Traversal: '\..\filename'
- CVE-2023-6709 Improper Neutralization of Special Elements Used in a Template Engine in mlflow/mlflow
Sources
Also known as BIT-mlflow-2025-0453, GHSA-49m6-vrr9-2cqm, PYSEC-2026-1637.