gsd-2020-15266
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Aliases
Aliases
CVE-2020-15266


To clipboard 

{
  "GSD": {
    "alias": "CVE-2020-15266",
    "description": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.",
    "id": "GSD-2020-15266",
    "references": [
      "https://security.archlinux.org/CVE-2020-15266"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-15266"
      ],
      "details": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.",
      "id": "GSD-2020-15266",
      "modified": "2023-12-13T01:21:43.750347Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-15266",
        "STATE": "PUBLIC",
        "TITLE": "Undefined behavior in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003c 2.4.0"
                        }
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                    }
                  }
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            "value": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 3.7,
          "baseSeverity": "LOW",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
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                "value": "CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer"
              }
            ]
          }
        ]
      },
      "references": {
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          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc",
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          },
          {
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            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/issues/42129"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-xwhf-g6j5-j5gc",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c2.4.0",
          "affected_versions": "All versions before 2.4.0",
          "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
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            "CWE-119",
            "CWE-937"
          ],
          "date": "2020-11-03",
          "description": "In Tensorflow, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault.",
          "fixed_versions": [
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          ],
          "identifier": "CVE-2020-15266",
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            "GHSA-xwhf-g6j5-j5gc"
          ],
          "not_impacted": "All versions starting from 2.4.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2020-10-21",
          "solution": "Upgrade to version 2.4.0 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15266"
          ],
          "uuid": "37b8353b-33cd-4a7a-b4bc-a49ea9abe37f"
        },
        {
          "affected_range": "\u003c2.4.0",
          "affected_versions": "All versions before 2.4.0",
          "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
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            "CWE-119",
            "CWE-937"
          ],
          "date": "2020-11-03",
          "description": "In Tensorflow, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault.",
          "fixed_versions": [
            "2.4.0"
          ],
          "identifier": "CVE-2020-15266",
          "identifiers": [
            "CVE-2020-15266",
            "GHSA-xwhf-g6j5-j5gc"
          ],
          "not_impacted": "All versions starting from 2.4.0",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2020-10-21",
          "solution": "Upgrade to version 2.4.0 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15266"
          ],
          "uuid": "7e1d5f00-c8c3-492f-b666-f6b3fdaa208e"
        },
        {
          "affected_range": "\u003c2.4.0",
          "affected_versions": "All versions before 2.4.0",
          "cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-119",
            "CWE-937"
          ],
          "date": "2021-11-18",
          "description": "In Tensorflow, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault.",
          "fixed_versions": [
            "2.4.0"
          ],
          "identifier": "CVE-2020-15266",
          "identifiers": [
            "CVE-2020-15266",
            "GHSA-xwhf-g6j5-j5gc"
          ],
          "not_impacted": "All versions starting from 2.4.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2020-10-21",
          "solution": "Upgrade to version 2.4.0 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15266"
          ],
          "uuid": "7123cb7f-4bd7-466a-a825-c9f900639062"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
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        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "2.4.0",
                "vulnerable": true
              }
            ],
            "operator": "OR"
          }
        ]
      },
      "cve": {
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        "description": {
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              "value": "In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved."
            }
          ]
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        },
        "references": {
          "reference_data": [
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              "name": "https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845",
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              "tags": [
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              ],
              "url": "https://github.com/tensorflow/tensorflow/issues/42129"
            },
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      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "NETWORK",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 5.0,
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 10.0,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
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          "exploitabilityScore": 3.9,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2021-11-18T16:25Z",
      "publishedDate": "2020-10-21T21:15Z"
    }
  }
}


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