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  <DocumentTitle xml:lang="en">CVE-2022-35981</DocumentTitle>
  <DocumentType>SUSE CVE</DocumentType>
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    <ContactDetails>security@suse.de</ContactDetails>
    <IssuingAuthority>SUSE Security Team</IssuingAuthority>
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    <Identification>
      <ID>SUSE CVE-2022-35981</ID>
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    <Status>Interim</Status>
    <Version>1</Version>
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        <Number>5</Number>
        <Date>2025-02-16T02:57:52Z</Date>
        <Description>current</Description>
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    <InitialReleaseDate>2022-09-19T23:35:47Z</InitialReleaseDate>
    <CurrentReleaseDate>2025-02-16T02:57:52Z</CurrentReleaseDate>
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      <Date>2020-12-27T01:00:00Z</Date>
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    <Note Title="CVE" Type="Summary" Ordinal="1" xml:lang="en">CVE-2022-35981</Note>
    <Note Title="Mitre CVE Description" Type="Description" Ordinal="2" xml:lang="en">TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.</Note>
    <Note Title="Terms of Use" Type="Legal Disclaimer" Ordinal="4" xml:lang="en">The CVRF data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).</Note>
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      <Description>SUSE Security Ratings</Description>
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      <Note Title="Vulnerability Description" Type="General" Ordinal="1" xml:lang="en">TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.</Note>
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    <CVE>CVE-2022-35981</CVE>
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