CVE-2025-0453
highPriorität · verfolgen · 34EPSS 0.113 · 96. PerzentilEUUSEPSS · bewertet 2026-10-27
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.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 5.9–7.5
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betroffene Produkte (4)
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Advisories (3)
Hersteller- und Ökosystem-Meldungen dazu.
- GHSA-49m6-vrr9-2cqmMLflow Uncontrolled Resource Consumption vulnerability2025-03-20ghsa · osvUS
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.
- BIT-mlflow-2025-0453Denial of Service through Batched Queries in GraphQL in mlflow/mlflow2025-04-03vendor · osvUS
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.
- PYSEC-2026-1637MLflow Uncontrolled Resource Consumption vulnerability2026-07-07vendor · osvUS
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.
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Referenzen (5)
Externe Belege — Patches, Meldungen, Analysen.
- https://access.redhat.com/security/cve/cve-2025-0453cnnvd
- https://github.com/mlflow/mlflow/releases/tag/v2.21.0Patchcnnvd
- https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612bcnnvd
- https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612benisa_euvd
- https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612bExploitThird Party Advisorynvd
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