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<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-2022-29212</DocumentTitle>
  <DocumentType>SUSE CVE</DocumentType>
  <DocumentPublisher Type="Vendor">
    <ContactDetails>security@suse.de</ContactDetails>
    <IssuingAuthority>SUSE Security Team</IssuingAuthority>
  </DocumentPublisher>
  <DocumentTracking>
    <Identification>
      <ID>SUSE CVE-2022-29212</ID>
    </Identification>
    <Status>Interim</Status>
    <Version>1</Version>
    <RevisionHistory>
      <Revision>
        <Number>5</Number>
        <Date>2025-02-16T03:04:02Z</Date>
        <Description>current</Description>
      </Revision>
    </RevisionHistory>
    <InitialReleaseDate>2022-05-23T23:48:23Z</InitialReleaseDate>
    <CurrentReleaseDate>2025-02-16T03:04:02Z</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-2022-29212</Note>
    <Note Title="Mitre CVE Description" Type="Description" Ordinal="2" xml:lang="en">TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch 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"/>
  <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. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</Note>
    </Notes>
    <CVE>CVE-2022-29212</CVE>
    <ProductStatuses/>
    <Threats>
      <Threat Type="Impact">
        <Description>important</Description>
      </Threat>
    </Threats>
    <CVSSScoreSets>
      <ScoreSetV2>
        <BaseScoreV2>2.1</BaseScoreV2>
        <VectorV2>AV:L/AC:L/Au:N/C:N/I:N/A:P</VectorV2>
      </ScoreSetV2>
      <ScoreSetV3>
        <BaseScoreV3>5.5</BaseScoreV3>
        <VectorV3>CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H</VectorV3>
      </ScoreSetV3>
    </CVSSScoreSets>
  </Vulnerability>
</cvrfdoc>
