CVE-2021-29513
Vulnerability from cvelistv5
Published
2021-05-14 19:36
Modified
2024-08-03 22:11
Severity ?
2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Summary
TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.
References
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489Patch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7Exploit, Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7Exploit, Patch, Third Party Advisory
Impacted products
Vendor Product Version
tensorflow tensorflow Version: < 2.1.4
Version: >= 2.2.0, < 2.2.3
Version: >= 2.3.0, < 2.3.3
Version: >= 2.4.0, < 2.4.2
 Create a notification for this product.
Show details on NVD website

To clipboard 

{
   containers: {
      adp: [
         {
            providerMetadata: {
               dateUpdated: "2024-08-03T22:11:05.380Z",
               orgId: "af854a3a-2127-422b-91ae-364da2661108",
               shortName: "CVE",
            },
            references: [
               {
                  tags: [
                     "x_refsource_CONFIRM",
                     "x_transferred",
                  ],
                  url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7",
               },
               {
                  tags: [
                     "x_refsource_MISC",
                     "x_transferred",
                  ],
                  url: "https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489",
               },
            ],
            title: "CVE Program Container",
         },
      ],
      cna: {
         affected: [
            {
               product: "tensorflow",
               vendor: "tensorflow",
               versions: [
                  {
                     status: "affected",
                     version: "< 2.1.4",
                  },
                  {
                     status: "affected",
                     version: ">= 2.2.0, < 2.2.3",
                  },
                  {
                     status: "affected",
                     version: ">= 2.3.0, < 2.3.3",
                  },
                  {
                     status: "affected",
                     version: ">= 2.4.0, < 2.4.2",
                  },
               ],
            },
         ],
         descriptions: [
            {
               lang: "en",
               value: "TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.",
            },
         ],
         metrics: [
            {
               cvssV3_1: {
                  attackComplexity: "HIGH",
                  attackVector: "LOCAL",
                  availabilityImpact: "LOW",
                  baseScore: 2.5,
                  baseSeverity: "LOW",
                  confidentialityImpact: "NONE",
                  integrityImpact: "NONE",
                  privilegesRequired: "LOW",
                  scope: "UNCHANGED",
                  userInteraction: "NONE",
                  vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
                  version: "3.1",
               },
            },
         ],
         problemTypes: [
            {
               descriptions: [
                  {
                     cweId: "CWE-476",
                     description: "CWE-476: NULL Pointer Dereference",
                     lang: "en",
                     type: "CWE",
                  },
               ],
            },
         ],
         providerMetadata: {
            dateUpdated: "2021-05-14T19:36:30",
            orgId: "a0819718-46f1-4df5-94e2-005712e83aaa",
            shortName: "GitHub_M",
         },
         references: [
            {
               tags: [
                  "x_refsource_CONFIRM",
               ],
               url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7",
            },
            {
               tags: [
                  "x_refsource_MISC",
               ],
               url: "https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489",
            },
         ],
         source: {
            advisory: "GHSA-452g-f7fp-9jf7",
            discovery: "UNKNOWN",
         },
         title: "Type confusion during tensor casts lead to dereferencing null pointers",
         x_legacyV4Record: {
            CVE_data_meta: {
               ASSIGNER: "security-advisories@github.com",
               ID: "CVE-2021-29513",
               STATE: "PUBLIC",
               TITLE: "Type confusion during tensor casts lead to dereferencing null pointers",
            },
            affects: {
               vendor: {
                  vendor_data: [
                     {
                        product: {
                           product_data: [
                              {
                                 product_name: "tensorflow",
                                 version: {
                                    version_data: [
                                       {
                                          version_value: "< 2.1.4",
                                       },
                                       {
                                          version_value: ">= 2.2.0, < 2.2.3",
                                       },
                                       {
                                          version_value: ">= 2.3.0, < 2.3.3",
                                       },
                                       {
                                          version_value: ">= 2.4.0, < 2.4.2",
                                       },
                                    ],
                                 },
                              },
                           ],
                        },
                        vendor_name: "tensorflow",
                     },
                  ],
               },
            },
            data_format: "MITRE",
            data_type: "CVE",
            data_version: "4.0",
            description: {
               description_data: [
                  {
                     lang: "eng",
                     value: "TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.",
                  },
               ],
            },
            impact: {
               cvss: {
                  attackComplexity: "HIGH",
                  attackVector: "LOCAL",
                  availabilityImpact: "LOW",
                  baseScore: 2.5,
                  baseSeverity: "LOW",
                  confidentialityImpact: "NONE",
                  integrityImpact: "NONE",
                  privilegesRequired: "LOW",
                  scope: "UNCHANGED",
                  userInteraction: "NONE",
                  vectorString: "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
                  version: "3.1",
               },
            },
            problemtype: {
               problemtype_data: [
                  {
                     description: [
                        {
                           lang: "eng",
                           value: "CWE-476: NULL Pointer Dereference",
                        },
                     ],
                  },
               ],
            },
            references: {
               reference_data: [
                  {
                     name: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7",
                     refsource: "CONFIRM",
                     url: "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7",
                  },
                  {
                     name: "https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489",
                     refsource: "MISC",
                     url: "https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489",
                  },
               ],
            },
            source: {
               advisory: "GHSA-452g-f7fp-9jf7",
               discovery: "UNKNOWN",
            },
         },
      },
   },
   cveMetadata: {
      assignerOrgId: "a0819718-46f1-4df5-94e2-005712e83aaa",
      assignerShortName: "GitHub_M",
      cveId: "CVE-2021-29513",
      datePublished: "2021-05-14T19:36:30",
      dateReserved: "2021-03-30T00:00:00",
      dateUpdated: "2024-08-03T22:11:05.380Z",
      state: "PUBLISHED",
   },
   dataType: "CVE_RECORD",
   dataVersion: "5.1",
   "vulnerability-lookup:meta": {
      nvd: "{\"cve\":{\"id\":\"CVE-2021-29513\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2021-05-14T20:15:11.190\",\"lastModified\":\"2024-11-21T06:01:17.100\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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.\"},{\"lang\":\"es\",\"value\":\"TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático.&#xa0;Llamar a operaciones TF con tensores de tipos no numéricos cuando las operaciones esperan tensores numéricos dan como resultado desreferencias de puntero null.&#xa0;La conversión de una matriz de Python a una matriz de C++ (https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) es vulnerable a una confusión de tipos.&#xa0;La corrección será incluída en TensorFlow versión 2.5.0.&#xa0;También seleccionaremos este commit en TensorFlow versión 2.4.2, TensorFlow versión 2.3.3, TensorFlow versión 2.2.3 y TensorFlow versión 2.1.4, ya que estos también están afectados y aún están en el rango admitido\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L\",\"baseScore\":2.5,\"baseSeverity\":\"LOW\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"LOW\"},\"exploitabilityScore\":1.0,\"impactScore\":1.4},{\"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:H/I:H/A:H\",\"baseScore\":7.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":5.9}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:L/AC:L/Au:N/C:P/I:P/A:P\",\"baseScore\":4.6,\"accessVector\":\"LOCAL\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"PARTIAL\",\"integrityImpact\":\"PARTIAL\",\"availabilityImpact\":\"PARTIAL\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":3.9,\"impactScore\":6.4,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-476\"}]},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-476\"},{\"lang\":\"en\",\"value\":\"CWE-843\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionEndExcluding\":\"2.1.4\",\"matchCriteriaId\":\"323ABCCE-24EB-47CC-87F6-48C101477587\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.2.0\",\"versionEndExcluding\":\"2.2.3\",\"matchCriteriaId\":\"64ABA90C-0649-4BB0-89C9-83C14BBDCC0F\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.3.0\",\"versionEndExcluding\":\"2.3.3\",\"matchCriteriaId\":\"0F83E0CF-CBF6-4C24-8683-3E7A5DC95BA9\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"2.4.0\",\"versionEndExcluding\":\"2.4.2\",\"matchCriteriaId\":\"8259531B-A8AC-4F8B-B60F-B69DE4767C03\"}]}]}],\"references\":[{\"url\":\"https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Patch\",\"Third Party Advisory\"]}]}}",
   },
}


Log in or create an account to share your comment.

Security Advisory comment format.

This schema specifies the format of a comment related to a security advisory.

UUIDv4 of the comment
UUIDv4 of the Vulnerability-Lookup instance
When the comment was created originally
When the comment was last updated
Title of the comment
Description of the comment
The identifier of the vulnerability (CVE ID, GHSA-ID, PYSEC ID, etc.).



Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • 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.