https://vulnerability.circl.lu/rss/recent/all/10 Most recent entries from all 2026-10-11T01:58:35.153246+00:00 Vulnerability-Lookup info@circl.lu python-feedgen Contains only the most 10 recent entries. https://vulnerability.circl.lu/vuln/bit-mlflow-2024-6838 BIT-mlflow-2024-6838 — Uncontrolled Resource Consumption in mlflow/mlflow 2026-10-11T01:58:35.159842+00:00

Affected: Bitnami: mlflow

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.

 https://vulnerability.circl.lu/vuln/fkie_cve-2024-6838 fkie_cve-2024-6838 2026-10-11T01:58:35.159942+00:00

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.

 https://vulnerability.circl.lu/vuln/ghsa-q3gw-8236-5jw4 GHSA-q3gw-8236-5jw4 — MLflow Uncontrolled Resource Consumption vulnerability 2026-10-11T01:58:35.159994+00:00

Affected: PyPI: mlflow

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.

 https://vulnerability.circl.lu/vuln/pysec-2026-1658 PYSEC-2026-1658 — MLflow Uncontrolled Resource Consumption vulnerability 2026-10-11T01:58:35.160033+00:00

Affected: PyPI: mlflow

In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.