GSD-2021-41216

Vulnerability from gsd - Updated: 2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2021-41216",
    "description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
    "id": "GSD-2021-41216",
    "references": [
      "https://www.suse.com/security/cve/CVE-2021-41216.html",
      "https://security.archlinux.org/CVE-2021-41216"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2021-41216"
      ],
      "details": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
      "id": "GSD-2021-41216",
      "modified": "2023-12-13T01:23:27.056948Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2021-41216",
        "STATE": "PUBLIC",
        "TITLE": "Heap buffer overflow in `Transpose`"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003e= 2.6.0, \u003c 2.6.1"
                        },
                        {
                          "version_value": "\u003e= 2.5.0, \u003c 2.5.2"
                        },
                        {
                          "version_value": "\u003c 2.4.4"
                        }
                      ]
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                  }
                ]
              },
              "vendor_name": "tensorflow"
            }
          ]
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      },
      "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. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."
          }
        ]
      },
      "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-120: Buffer Copy without Checking Size of Input (\u0027Classic Buffer Overflow\u0027)"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-3ff2-r28g-w7h9",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
          "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2021-11-10",
          "description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.6.1",
            "2.4.4",
            "2.4.4"
          ],
          "identifier": "CVE-2021-41216",
          "identifiers": [
            "GHSA-3ff2-r28g-w7h9",
            "CVE-2021-41216"
          ],
          "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2021-11-10",
          "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9",
            "https://nvd.nist.gov/vuln/detail/CVE-2021-41216",
            "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14",
            "https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc#L121-L185",
            "https://github.com/advisories/GHSA-3ff2-r28g-w7h9"
          ],
          "uuid": "17091921-54b3-4d8e-8a5c-0fa6d592cd68"
        },
        {
          "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
          "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2021-11-10",
          "description": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.6.1",
            "2.4.4",
            "2.4.4"
          ],
          "identifier": "CVE-2021-41216",
          "identifiers": [
            "GHSA-3ff2-r28g-w7h9",
            "CVE-2021-41216"
          ],
          "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2021-11-10",
          "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9",
            "https://nvd.nist.gov/vuln/detail/CVE-2021-41216",
            "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14",
            "https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc#L121-L185",
            "https://github.com/advisories/GHSA-3ff2-r28g-w7h9"
          ],
          "uuid": "5dc57a00-e5d5-4614-950b-492096b6a576"
        },
        {
          "affected_range": "\u003e=2.4.0,\u003c2.4.4||\u003e=2.5.0,\u003c2.5.2||\u003e=2.6.0,\u003c2.6.1||==2.7.0",
          "affected_versions": "All versions starting from 2.4.0 before 2.4.4, all versions starting from 2.5.0 before 2.5.2, all versions starting from 2.6.0 before 2.6.1, version 2.7.0",
          "cvss_v2": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2021-11-09",
          "description": "TensorFlow is an open source platform for machine learning.This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid.",
          "fixed_versions": [
            "2.4.4",
            "2.5.2",
            "2.6.1"
          ],
          "identifier": "CVE-2021-41216",
          "identifiers": [
            "CVE-2021-41216",
            "GHSA-3ff2-r28g-w7h9"
          ],
          "not_impacted": "All versions before 2.4.0, all versions starting from 2.4.4 before 2.5.0, all versions starting from 2.5.2 before 2.6.0, all versions starting from 2.6.1 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2021-11-05",
          "solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.",
          "title": "Out-of-bounds Write",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2021-41216",
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9",
            "https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14"
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          "uuid": "bbaa1c45-d533-4eea-8c64-dc0aecdb925c"
        }
      ]
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
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              "value": "TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."
            }
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              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9"
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            {
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      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 4.6,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 6.4,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2021-11-09T15:53Z",
      "publishedDate": "2021-11-05T23:15Z"
    }
  }
}


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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.
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  • 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.


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