GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CVE-2022-29211 (GCVE-0-2022-29211)

Vulnerability from cvelistv5 – Published: 2022-05-20 23:20 – Updated: 2025-04-22 17:57
VLAI
Title
Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values
Summary
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.
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-22 15:46 UTC
CWE
  • CWE-20 - Improper Input Validation
Assigner
References
Impacted products
Vendor Product Version CPE status
tensorflow tensorflow Affected: < 2.6.4
Affected: >= 2.7.0rc0, < 2.7.2
Affected: >= 2.8.0rc0, < 2.8.1
Affected: >= 2.9.0rc0, < 2.9.0
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T06:17:54.256Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
          },
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/issues/45770"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2022-29211",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-22T15:46:24.583209Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-22T17:57:17.184Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "tensorflow",
          "vendor": "tensorflow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 2.6.4"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.7.0rc0, \u003c 2.7.2"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.8.0rc0, \u003c 2.8.1"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.9.0rc0, \u003c 2.9.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "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."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "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"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-20",
              "description": "CWE-20: Improper Input Validation",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-05-20T23:20:15.000Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
        },
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/issues/45770"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74"
        }
      ],
      "source": {
        "advisory": "GHSA-xrp2-fhq4-4q3w",
        "discovery": "UNKNOWN"
      },
      "title": "Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values",
      "x_legacyV4Record": {
        "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": {
                        "version_data": [
                          {
                            "version_value": "\u003c 2.6.4"
                          },
                          {
                            "version_value": "\u003e= 2.7.0rc0, \u003c 2.7.2"
                          },
                          {
                            "version_value": "\u003e= 2.8.0rc0, \u003c 2.8.1"
                          },
                          {
                            "version_value": "\u003e= 2.9.0rc0, \u003c 2.9.0"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "tensorflow"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "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."
            }
          ]
        },
        "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"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-20: Improper Input Validation"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w",
              "refsource": "CONFIRM",
              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/issues/45770",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/issues/45770"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc"
            },
            {
              "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"
            }
          ]
        },
        "source": {
          "advisory": "GHSA-xrp2-fhq4-4q3w",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2022-29211",
    "datePublished": "2022-05-20T23:20:15.000Z",
    "dateReserved": "2022-04-13T00:00:00.000Z",
    "dateUpdated": "2025-04-22T17:57:17.184Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2022-29211",
      "date": "2026-09-15",
      "epss": "0.00316",
      "percentile": "0.24435"
    },
    "fkie_nvd": {
      "configurations": "[{\"nodes\": [{\"operator\": \"OR\", \"negate\": false, \"cpeMatch\": [{\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\", \"versionEndExcluding\": \"2.6.4\", \"matchCriteriaId\": \"D9359D32-D090-44CF-AC43-2046084A28BB\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\", \"versionStartIncluding\": \"2.7.0\", \"versionEndExcluding\": \"2.7.2\", \"matchCriteriaId\": \"C4DFBF2D-5283-42F6-8800-D653BFA5CE82\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*\", \"matchCriteriaId\": \"A58EDA5C-66D6-46F1-962E-60AFB7C784A7\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*\", \"matchCriteriaId\": \"89522760-C2DF-400D-9624-626D8F160CBA\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*\", \"matchCriteriaId\": \"E9EA1898-ACAA-4699-8BAE-54D62C1819FB\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:*\", \"matchCriteriaId\": \"130DE3C9-6842-456F-A259-BF8FF8457217\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:*\", \"matchCriteriaId\": \"BBF2FCEF-989C-409D-9F4C-81418C65B972\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:*\", \"matchCriteriaId\": \"9CFB1CFC-579D-4647-A472-6DE8BE1951DE\"}, {\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*\", \"matchCriteriaId\": \"F3F3F37E-D27F-4060-830C-0AFF16150777\"}]}]}]",
      "descriptions": "[{\"lang\": \"en\", \"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.\"}, {\"lang\": \"es\", \"value\": \"TensorFlow es una plataforma de c\\u00f3digo abierto para el aprendizaje autom\\u00e1tico. En versiones anteriores a 2.9.0, 2.8.1, 2.7.2 y 2.6.4, la implementaci\\u00f3n de \\\"tf.histogram_fixed_width\\\" es vulnerable a un fallo cuando el array de valores contiene elementos \\\"Not a Number\\\" (\\\"NaN\\\"). La implementaci\\u00f3n asume que todas las operaciones de punto flotante est\\u00e1n definidas y entonces convierte un resultado de punto flotante a un \\u00edndice entero. Si \\\"values\\\" contiene \\\"NaN\\\" entonces el resultado de la divisi\\u00f3n sigue siendo \\\"NaN\\\" y la conversi\\u00f3n a \\\"int32\\\" resultar\\u00eda en un bloqueo. Esto s\\u00f3lo ocurre en la implementaci\\u00f3n de la CPU. Las versiones 2.9.0, 2.8.1, 2.7.2 y 2.6.4 contienen un parche para este problema\"}]",
      "id": "CVE-2022-29211",
      "lastModified": "2024-11-21T06:58:43.623",
      "metrics": "{\"cvssMetricV31\": [{\"source\": \"security-advisories@github.com\", \"type\": \"Secondary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\", \"baseScore\": 5.5, \"baseSeverity\": \"MEDIUM\", \"attackVector\": \"LOCAL\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"LOW\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"NONE\", \"integrityImpact\": \"NONE\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 1.8, \"impactScore\": 3.6}, {\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"cvssData\": {\"version\": \"3.1\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\", \"baseScore\": 5.5, \"baseSeverity\": \"MEDIUM\", \"attackVector\": \"LOCAL\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"LOW\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"NONE\", \"integrityImpact\": \"NONE\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 1.8, \"impactScore\": 3.6}], \"cvssMetricV2\": [{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"cvssData\": {\"version\": \"2.0\", \"vectorString\": \"AV:L/AC:L/Au:N/C:N/I:N/A:P\", \"baseScore\": 2.1, \"accessVector\": \"LOCAL\", \"accessComplexity\": \"LOW\", \"authentication\": \"NONE\", \"confidentialityImpact\": \"NONE\", \"integrityImpact\": \"NONE\", \"availabilityImpact\": \"PARTIAL\"}, \"baseSeverity\": \"LOW\", \"exploitabilityScore\": 3.9, \"impactScore\": 2.9, \"acInsufInfo\": false, \"obtainAllPrivilege\": false, \"obtainUserPrivilege\": false, \"obtainOtherPrivilege\": false, \"userInteractionRequired\": false}]}",
      "published": "2022-05-21T00:15:11.650",
      "references": "[{\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Exploit\", \"Issue Tracking\", \"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"source\": \"security-advisories@github.com\", \"tags\": [\"Exploit\", \"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Exploit\", \"Issue Tracking\", \"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Release Notes\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Exploit\", \"Patch\", \"Third Party Advisory\"]}]",
      "sourceIdentifier": "security-advisories@github.com",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"security-advisories@github.com\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-20\"}]}]"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2022-29211\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2022-05-21T00:15:11.650\",\"lastModified\":\"2026-06-17T04:39:50.060\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"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.\"},{\"lang\":\"es\",\"value\":\"TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En versiones anteriores a 2.9.0, 2.8.1, 2.7.2 y 2.6.4, la implementaci\u00f3n de \\\"tf.histogram_fixed_width\\\" es vulnerable a un fallo cuando el array de valores contiene elementos \\\"Not a Number\\\" (\\\"NaN\\\"). La implementaci\u00f3n asume que todas las operaciones de punto flotante est\u00e1n definidas y entonces convierte un resultado de punto flotante a un \u00edndice entero. Si \\\"values\\\" contiene \\\"NaN\\\" entonces el resultado de la divisi\u00f3n sigue siendo \\\"NaN\\\" y la conversi\u00f3n a \\\"int32\\\" resultar\u00eda en un bloqueo. Esto s\u00f3lo ocurre en la implementaci\u00f3n de la CPU. Las versiones 2.9.0, 2.8.1, 2.7.2 y 2.6.4 contienen un parche para este problema\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"tensorflow\",\"product\":\"tensorflow\",\"versions\":[{\"version\":\"\u003c 2.6.4\",\"status\":\"affected\"},{\"version\":\"\u003e= 2.7.0rc0, \u003c 2.7.2\",\"status\":\"affected\"},{\"version\":\"\u003e= 2.8.0rc0, \u003c 2.8.1\",\"status\":\"affected\"},{\"version\":\"\u003e= 2.9.0rc0, \u003c 2.9.0\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":5.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":3.6},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":5.5,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":3.6}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:L/AC:L/Au:N/C:N/I:N/A:P\",\"baseScore\":2.1,\"accessVector\":\"LOCAL\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"LOW\",\"exploitabilityScore\":3.9,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2025-04-22T15:46:24.583209Z\",\"id\":\"CVE-2022-29211\",\"options\":[{\"exploitation\":\"poc\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"partial\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-20\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionEndExcluding\":\"2.6.4\",\"matchCriteriaId\":\"D9359D32-D090-44CF-AC43-2046084A28BB\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.7.0\",\"versionEndExcluding\":\"2.7.2\",\"matchCriteriaId\":\"C4DFBF2D-5283-42F6-8800-D653BFA5CE82\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*\",\"matchCriteriaId\":\"A58EDA5C-66D6-46F1-962E-60AFB7C784A7\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*\",\"matchCriteriaId\":\"89522760-C2DF-400D-9624-626D8F160CBA\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*\",\"matchCriteriaId\":\"E9EA1898-ACAA-4699-8BAE-54D62C1819FB\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:*\",\"matchCriteriaId\":\"130DE3C9-6842-456F-A259-BF8FF8457217\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:*\",\"matchCriteriaId\":\"BBF2FCEF-989C-409D-9F4C-81418C65B972\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:*\",\"matchCriteriaId\":\"9CFB1CFC-579D-4647-A472-6DE8BE1951DE\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*\",\"matchCriteriaId\":\"F3F3F37E-D27F-4060-830C-0AFF16150777\"}]}]}],\"references\":[{\"url\":\"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/issues/45770\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/issues/45770\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Patch\",\"Third Party Advisory\"]}]}}",
    "redhat_vex": {
      "current_release_date": "2025-05-29T01:15:09+00:00",
      "cve": "CVE-2022-29211",
      "id": "CVE-2022-29211",
      "initial_release_date": "2022-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-29211.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "important",
      "current_release_date": "2025-02-16T07:28:41Z",
      "cve": "CVE-2022-29211",
      "id": "CVE-2022-29211",
      "initial_release_date": "2023-02-15T03:26:17Z",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2022-29211",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-29211.json",
      "version": "5"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"tags\": [\"x_refsource_CONFIRM\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"tags\": [\"x_refsource_MISC\", \"x_transferred\"]}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2024-08-03T06:17:54.256Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2022-29211\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-04-22T15:46:24.583209Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-04-22T15:46:26.197Z\"}}], \"cna\": {\"title\": \"Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values\", \"source\": {\"advisory\": \"GHSA-xrp2-fhq4-4q3w\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 5.5, \"attackVector\": \"LOCAL\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"LOW\", \"confidentialityImpact\": \"NONE\"}}], \"affected\": [{\"vendor\": \"tensorflow\", \"product\": \"tensorflow\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003c 2.6.4\"}, {\"status\": \"affected\", \"version\": \"\u003e= 2.7.0rc0, \u003c 2.7.2\"}, {\"status\": \"affected\", \"version\": \"\u003e= 2.8.0rc0, \u003c 2.8.1\"}, {\"status\": \"affected\", \"version\": \"\u003e= 2.9.0rc0, \u003c 2.9.0\"}]}], \"references\": [{\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"tags\": [\"x_refsource_CONFIRM\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"tags\": [\"x_refsource_MISC\"]}], \"descriptions\": [{\"lang\": \"en\", \"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.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-20\", \"description\": \"CWE-20: Improper Input Validation\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2022-05-20T23:20:15.000Z\"}, \"x_legacyV4Record\": {\"impact\": {\"cvss\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 5.5, \"attackVector\": \"LOCAL\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"LOW\", \"confidentialityImpact\": \"NONE\"}}, \"source\": {\"advisory\": \"GHSA-xrp2-fhq4-4q3w\", \"discovery\": \"UNKNOWN\"}, \"affects\": {\"vendor\": {\"vendor_data\": [{\"product\": {\"product_data\": [{\"version\": {\"version_data\": [{\"version_value\": \"\u003c 2.6.4\"}, {\"version_value\": \"\u003e= 2.7.0rc0, \u003c 2.7.2\"}, {\"version_value\": \"\u003e= 2.8.0rc0, \u003c 2.8.1\"}, {\"version_value\": \"\u003e= 2.9.0rc0, \u003c 2.9.0\"}]}, \"product_name\": \"tensorflow\"}]}, \"vendor_name\": \"tensorflow\"}]}}, \"data_type\": \"CVE\", \"references\": {\"reference_data\": [{\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"name\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"name\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"name\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"name\": \"https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"name\": \"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w\", \"refsource\": \"CONFIRM\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"name\": \"https://github.com/tensorflow/tensorflow/issues/45770\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"name\": \"https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"name\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc\", \"refsource\": \"MISC\"}, {\"url\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"name\": \"https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74\", \"refsource\": \"MISC\"}]}, \"data_format\": \"MITRE\", \"description\": {\"description_data\": [{\"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.\"}]}, \"problemtype\": {\"problemtype_data\": [{\"description\": [{\"lang\": \"eng\", \"value\": \"CWE-20: Improper Input Validation\"}]}]}, \"data_version\": \"4.0\", \"CVE_data_meta\": {\"ID\": \"CVE-2022-29211\", \"STATE\": \"PUBLIC\", \"TITLE\": \"Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values\", \"ASSIGNER\": \"security-advisories@github.com\"}}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2022-29211\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-04-22T17:57:17.184Z\", \"dateReserved\": \"2022-04-13T00:00:00.000Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2022-05-20T23:20:15.000Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.