<?xml version="1.0" encoding="UTF-8"?>
<cvrfdoc xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:cpe="http://cpe.mitre.org/language/2.0" xmlns:cvrf="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/cvrf" xmlns:cvrf-common="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/common" xmlns:cvssv2="http://scap.nist.gov/schema/cvss-v2/1.0" xmlns:cvssv3="https://www.first.org/cvss/cvss-v3.0.xsd" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ns0="http://purl.org/dc/elements/1.1/" xmlns:prod="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/prod" xmlns:scap-core="http://scap.nist.gov/schema/scap-core/1.0" xmlns:sch="http://purl.oclc.org/dsdl/schematron" xmlns:vuln="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/vuln" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/cvrf">
  <DocumentTitle xml:lang="en">CVE-2022-35959</DocumentTitle>
  <DocumentType>SUSE CVE</DocumentType>
  <DocumentPublisher Type="Vendor">
    <ContactDetails>security@suse.de</ContactDetails>
    <IssuingAuthority>SUSE Security Team</IssuingAuthority>
  </DocumentPublisher>
  <DocumentTracking>
    <Identification>
      <ID>SUSE CVE-2022-35959</ID>
    </Identification>
    <Status>Interim</Status>
    <Version>1</Version>
    <RevisionHistory>
      <Revision>
        <Number>5</Number>
        <Date>2025-02-16T02:58:10Z</Date>
        <Description>current</Description>
      </Revision>
    </RevisionHistory>
    <InitialReleaseDate>2022-09-19T23:35:51Z</InitialReleaseDate>
    <CurrentReleaseDate>2025-02-16T02:58:10Z</CurrentReleaseDate>
    <Generator>
      <Engine>cve-database/bin/generate-cvrf-cve.pl</Engine>
      <Date>2020-12-27T01:00:00Z</Date>
    </Generator>
  </DocumentTracking>
  <DocumentNotes>
    <Note Title="CVE" Type="Summary" Ordinal="1" xml:lang="en">CVE-2022-35959</Note>
    <Note Title="Mitre CVE Description" Type="Description" Ordinal="2" xml:lang="en">TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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>
  </DocumentNotes>
  <DocumentReferences>
    <Reference Type="Self">
      <URL>https://www.suse.com/support/security/rating/</URL>
      <Description>SUSE Security Ratings</Description>
    </Reference>
  </DocumentReferences>
  <ProductTree xmlns="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/prod">
    <Branch Type="Product Family" Name="openSUSE Tumbleweed">
      <Branch Type="Product Name" Name="openSUSE Tumbleweed">
        <FullProductName ProductID="openSUSE Tumbleweed" CPE="cpe:/o:opensuse:tumbleweed">openSUSE Tumbleweed</FullProductName>
      </Branch>
    </Branch>
    <Branch Type="Product Version" Name="tensorflow-lite-2.10.0-1.1">
      <FullProductName ProductID="tensorflow-lite-2.10.0-1.1">tensorflow-lite-2.10.0-1.1</FullProductName>
    </Branch>
    <Branch Type="Product Version" Name="tensorflow-lite-devel-2.10.0-1.1">
      <FullProductName ProductID="tensorflow-lite-devel-2.10.0-1.1">tensorflow-lite-devel-2.10.0-1.1</FullProductName>
    </Branch>
    <Relationship ProductReference="tensorflow-lite-2.10.0-1.1" RelationType="Default Component Of" RelatesToProductReference="openSUSE Tumbleweed">
      <FullProductName ProductID="openSUSE Tumbleweed:tensorflow-lite-2.10.0-1.1">tensorflow-lite-2.10.0-1.1 as a component of openSUSE Tumbleweed</FullProductName>
    </Relationship>
    <Relationship ProductReference="tensorflow-lite-devel-2.10.0-1.1" RelationType="Default Component Of" RelatesToProductReference="openSUSE Tumbleweed">
      <FullProductName ProductID="openSUSE Tumbleweed:tensorflow-lite-devel-2.10.0-1.1">tensorflow-lite-devel-2.10.0-1.1 as a component of openSUSE Tumbleweed</FullProductName>
    </Relationship>
  </ProductTree>
  <Vulnerability xmlns="http://docs.oasis-open.org/csaf/ns/csaf-cvrf/v1.2/vuln" Ordinal="1">
    <Notes>
      <Note Title="Vulnerability Description" Type="General" Ordinal="1" xml:lang="en">TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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>
    </Notes>
    <CVE>CVE-2022-35959</CVE>
    <ProductStatuses>
      <Status Type="Fixed">
        <ProductID>openSUSE Tumbleweed:tensorflow-lite-2.10.0-1.1</ProductID>
        <ProductID>openSUSE Tumbleweed:tensorflow-lite-devel-2.10.0-1.1</ProductID>
      </Status>
    </ProductStatuses>
    <Threats>
      <Threat Type="Impact">
        <Description>critical</Description>
      </Threat>
    </Threats>
    <CVSSScoreSets>
      <ScoreSetV3>
        <BaseScoreV3>7.5</BaseScoreV3>
        <VectorV3>CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H</VectorV3>
      </ScoreSetV3>
    </CVSSScoreSets>
  </Vulnerability>
</cvrfdoc>
