<?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-2021-29535</DocumentTitle>
  <DocumentType>SUSE CVE</DocumentType>
  <DocumentPublisher Type="Vendor">
    <ContactDetails>security@suse.de</ContactDetails>
    <IssuingAuthority>SUSE Security Team</IssuingAuthority>
  </DocumentPublisher>
  <DocumentTracking>
    <Identification>
      <ID>SUSE CVE-2021-29535</ID>
    </Identification>
    <Status>Interim</Status>
    <Version>1</Version>
    <RevisionHistory>
      <Revision>
        <Number>7</Number>
        <Date>2025-02-17T00:43:55Z</Date>
        <Description>current</Description>
      </Revision>
    </RevisionHistory>
    <InitialReleaseDate>2021-05-30T14:49:39Z</InitialReleaseDate>
    <CurrentReleaseDate>2025-02-17T00:43:55Z</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-2021-29535</Note>
    <Note Title="Mitre CVE Description" Type="Description" Ordinal="2" xml:lang="en">TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat&lt;T&gt;()` is an empty buffer and accessing the element at position 0 results in overflow. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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"/>
  <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 end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat&lt;T&gt;()` is an empty buffer and accessing the element at position 0 results in overflow. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.</Note>
    </Notes>
    <CVE>CVE-2021-29535</CVE>
    <ProductStatuses/>
    <Threats>
      <Threat Type="Impact">
        <Description>important</Description>
      </Threat>
    </Threats>
    <CVSSScoreSets>
      <ScoreSetV2>
        <BaseScoreV2>4.6</BaseScoreV2>
        <VectorV2>AV:L/AC:L/Au:N/C:P/I:P/A:P</VectorV2>
      </ScoreSetV2>
      <ScoreSetV3>
        <BaseScoreV3>7.8</BaseScoreV3>
        <VectorV3>CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H</VectorV3>
      </ScoreSetV3>
    </CVSSScoreSets>
  </Vulnerability>
</cvrfdoc>
