gsd-2022-29211
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Aliases
Aliases
CVE-2022-29211


To clipboard 

{
  "GSD": {
    "alias": "CVE-2022-29211",
    "description": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
    "id": "GSD-2022-29211",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-29211.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-29211"
      ],
      "details": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
      "id": "GSD-2022-29211",
      "modified": "2023-12-13T01:19:42.389302Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-29211",
        "STATE": "PUBLIC",
        "TITLE": "Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
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                          "version_value": "\u003c 2.6.4"
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                          "version_value": "\u003e= 2.7.0rc0, \u003c 2.7.2"
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                          "version_value": "\u003e= 2.8.0rc0, \u003c 2.8.1"
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      "data_format": "MITRE",
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      "description": {
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            "lang": "eng",
            "value": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
          }
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      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
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            "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
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          {
            "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
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          {
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          },
          {
            "name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74"
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      "source": {
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        "discovery": "UNKNOWN"
      }
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          "affected_range": "\u003c2.6.4||\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1",
          "affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
          "cwe_ids": [
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            "CWE-20",
            "CWE-937"
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          "date": "2022-05-24",
          "description": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
          "fixed_versions": [
            "2.6.4",
            "2.7.2",
            "2.8.1"
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          "identifier": "CVE-2022-29211",
          "identifiers": [
            "GHSA-xrp2-fhq4-4q3w",
            "CVE-2022-29211"
          ],
          "not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-05-24",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-29211",
            "https://github.com/tensorflow/tensorflow/issues/45770",
            "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
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          "description": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
          "fixed_versions": [
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            "CVE-2022-29211"
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          "not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-05-24",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-29211",
            "https://github.com/tensorflow/tensorflow/issues/45770",
            "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
            "https://github.com/advisories/GHSA-xrp2-fhq4-4q3w"
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          "uuid": "72a221d5-f23e-4e5e-a0c3-6a5a6292fb65"
        },
        {
          "affected_range": "\u003c2.6.4||\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1",
          "affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
          "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
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            "CWE-20",
            "CWE-937"
          ],
          "date": "2022-06-03",
          "description": "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, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
          "fixed_versions": [
            "2.6.4",
            "2.7.2",
            "2.8.1"
          ],
          "identifier": "CVE-2022-29211",
          "identifiers": [
            "CVE-2022-29211",
            "GHSA-xrp2-fhq4-4q3w"
          ],
          "not_impacted": "All versions starting from 2.6.4 before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-05-21",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-29211",
            "https://github.com/tensorflow/tensorflow/issues/45770",
            "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
            "https://github.com/advisories/GHSA-xrp2-fhq4-4q3w"
          ],
          "uuid": "7852ff57-0fe3-41aa-aaeb-bae01997a8ee"
        }
      ]
    },
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              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
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              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
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      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 2.1,
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "LOW",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-06-03T15:02Z",
      "publishedDate": "2022-05-21T00:15Z"
    }
  }
}


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Sightings

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  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
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  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
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  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.