AI / ML CVE-2025-0453
HIGHSeverity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
3Blast Radius
ecosystem impact- 8 pypi packages depend on mlflow (7 direct, 2 indirect)
Ecosystem-wide dependent count for version 2.17.2.
DescriptionCVE.org
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.
AnalysisAI
In mlflow/mlflow version 2.17.2, the /graphql endpoint is vulnerable to a denial of service attack. Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.
Technical ContextAI
This vulnerability is classified under CWE-410. 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. Affected products include: Lfprojects Mlflow. Version information: version 2.17.2.
RemediationAI
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
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Same weakness CWE-410 – Insufficient Resource Pool
View allSame technique Denial Of Service
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External POC / Exploit Code
Leaving vuln.today