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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
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      <title>BIT-mlflow-2025-0453 — Denial of Service through Batched Queries in GraphQL in mlflow/mlflow</title>
      <link>https://cve.radiocsirt.org/vuln/bit-mlflow-2025-0453</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/bit-mlflow-2025-0453</guid>
    </item>
    <item>
      <title>EUVD-2026-255036</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-255036</link>
      <description>EUVD-2026-255036</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-255036</guid>
    </item>
    <item>
      <title>fkie_cve-2025-0453</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2025-0453</link>
      <description>&lt;p&gt;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2025-0453</guid>
    </item>
    <item>
      <title>GHSA-49m6-vrr9-2cqm — MLflow Uncontrolled Resource Consumption vulnerability</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-49m6-vrr9-2cqm</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-49m6-vrr9-2cqm</guid>
    </item>
    <item>
      <title>PYSEC-2026-1637 — MLflow Uncontrolled Resource Consumption vulnerability</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2026-1637</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: mlflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2026-1637</guid>
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