<?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-2022-23585</DocumentTitle>
  <DocumentType>SUSE CVE</DocumentType>
  <DocumentPublisher Type="Vendor">
    <ContactDetails>security@suse.de</ContactDetails>
    <IssuingAuthority>SUSE Security Team</IssuingAuthority>
  </DocumentPublisher>
  <DocumentTracking>
    <Identification>
      <ID>SUSE CVE-2022-23585</ID>
    </Identification>
    <Status>Interim</Status>
    <Version>1</Version>
    <RevisionHistory>
      <Revision>
        <Number>7</Number>
        <Date>2025-02-16T03:10:27Z</Date>
        <Description>current</Description>
      </Revision>
    </RevisionHistory>
    <InitialReleaseDate>2022-02-05T02:43:57Z</InitialReleaseDate>
    <CurrentReleaseDate>2025-02-16T03:10:27Z</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-2022-23585</Note>
    <Note Title="Mitre CVE Description" Type="Description" Ordinal="2" xml:lang="en">Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &amp;decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&amp;decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</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-2.9.1-1.1">
      <FullProductName ProductID="tensorflow-lite-2.9.1-1.1">tensorflow-lite-2.9.1-1.1</FullProductName>
    </Branch>
    <Branch Type="Product Version" Name="tensorflow-lite-devel-2.9.1-1.1">
      <FullProductName ProductID="tensorflow-lite-devel-2.9.1-1.1">tensorflow-lite-devel-2.9.1-1.1</FullProductName>
    </Branch>
    <Relationship ProductReference="tensorflow-lite-2.9.1-1.1" RelationType="Default Component Of" RelatesToProductReference="openSUSE Tumbleweed">
      <FullProductName ProductID="openSUSE Tumbleweed:tensorflow-lite-2.9.1-1.1">tensorflow-lite-2.9.1-1.1 as a component of openSUSE Tumbleweed</FullProductName>
    </Relationship>
    <Relationship ProductReference="tensorflow-lite-devel-2.9.1-1.1" RelationType="Default Component Of" RelatesToProductReference="openSUSE Tumbleweed">
      <FullProductName ProductID="openSUSE Tumbleweed:tensorflow-lite-devel-2.9.1-1.1">tensorflow-lite-devel-2.9.1-1.1 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 Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &amp;decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&amp;decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</Note>
    </Notes>
    <CVE>CVE-2022-23585</CVE>
    <ProductStatuses>
      <Status Type="Fixed">
        <ProductID>openSUSE Tumbleweed:tensorflow-lite-2.9.1-1.1</ProductID>
        <ProductID>openSUSE Tumbleweed:tensorflow-lite-devel-2.9.1-1.1</ProductID>
      </Status>
    </ProductStatuses>
    <Threats>
      <Threat Type="Impact">
        <Description>critical</Description>
      </Threat>
    </Threats>
    <CVSSScoreSets>
      <ScoreSetV2>
        <BaseScoreV2>4</BaseScoreV2>
        <VectorV2>AV:N/AC:L/Au:S/C:N/I:N/A:P</VectorV2>
      </ScoreSetV2>
      <ScoreSetV3>
        <BaseScoreV3>6.5</BaseScoreV3>
        <VectorV3>CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H</VectorV3>
      </ScoreSetV3>
    </CVSSScoreSets>
  </Vulnerability>
</cvrfdoc>
