gsd-2020-15198
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Aliases
Aliases
CVE-2020-15198


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{
  "GSD": {
    "alias": "CVE-2020-15198",
    "description": "In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
    "id": "GSD-2020-15198"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-15198"
      ],
      "details": "In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
      "id": "GSD-2020-15198",
      "modified": "2023-12-13T01:21:43.560729Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-15198",
        "STATE": "PUBLIC",
        "TITLE": "Heap buffer overflow in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003e= 2.3.0, \u003c 2.3.1"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "tensorflow"
            }
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        }
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            "value": "In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 5.4,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-122\":\"Heap-based Buffer Overflow\"}"
              }
            ]
          },
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-119\":\"Improper Restriction of Operations within the Bounds of a Memory Buffer\"}"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-jc87-6vpp-7ff3",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions starting from 2.3.0 before 2.3.1",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-119",
            "CWE-122",
            "CWE-937"
          ],
          "date": "2020-10-01",
          "description": "In Tensorflow, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15198",
          "identifiers": [
            "CVE-2020-15198",
            "GHSA-jc87-6vpp-7ff3"
          ],
          "not_impacted": "All versions before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15198"
          ],
          "uuid": "10d544a2-4c7f-4655-ba20-d563c1b274d4"
        },
        {
          "affected_range": "\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions starting from 2.3.0 before 2.3.1",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
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            "CWE-119",
            "CWE-122",
            "CWE-937"
          ],
          "date": "2020-10-01",
          "description": "In Tensorflow, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15198",
          "identifiers": [
            "CVE-2020-15198",
            "GHSA-jc87-6vpp-7ff3"
          ],
          "not_impacted": "All versions before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15198"
          ],
          "uuid": "6184156e-7d58-4742-83db-0c06d7fcb286"
        },
        {
          "affected_range": "\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions starting from 2.3.0 before 2.3.1",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-119",
            "CWE-937"
          ],
          "date": "2021-11-18",
          "description": "In Tensorflow, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15198",
          "identifiers": [
            "CVE-2020-15198",
            "GHSA-jc87-6vpp-7ff3"
          ],
          "not_impacted": "All versions before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15198"
          ],
          "uuid": "614f39ed-5119-43e4-b1bb-f85eea0ab9c5"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
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        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "2.3.1",
                "versionStartIncluding": "2.3.0",
                "vulnerable": true
              }
            ],
            "operator": "OR"
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        ]
      },
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        "description": {
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              "value": "In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
            }
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        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1",
              "refsource": "MISC",
              "tags": [
                "Third Party Advisory"
              ],
              "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
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              "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
            },
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              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3",
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      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "MEDIUM",
            "accessVector": "NETWORK",
            "authentication": "NONE",
            "availabilityImpact": "NONE",
            "baseScore": 5.8,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
            "version": "2.0"
          },
          "exploitabilityScore": 8.6,
          "impactScore": 4.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.4,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
            "version": "3.1"
          },
          "exploitabilityScore": 2.2,
          "impactScore": 2.7
        }
      },
      "lastModifiedDate": "2021-11-18T17:22Z",
      "publishedDate": "2020-09-25T19:15Z"
    }
  }
}


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