gsd-2020-15201
Vulnerability from gsd
Modified
2023-12-13 01:21
Details
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Aliases
Aliases
CVE-2020-15201


To clipboard 

{
  "GSD": {
    "alias": "CVE-2020-15201",
    "description": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
    "id": "GSD-2020-15201"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-15201"
      ],
      "details": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
      "id": "GSD-2020-15201",
      "modified": "2023-12-13T01:21:43.300199Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-15201",
        "STATE": "PUBLIC",
        "TITLE": "Heap buffer overflow in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "= 2.3.0"
                        }
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                    }
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              },
              "vendor_name": "tensorflow"
            }
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            "lang": "eng",
            "value": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. 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": 4.8,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-20\":\"Improper Input Validation\"}"
              }
            ]
          },
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-122\":\"Heap-based Buffer Overflow\"}"
              }
            ]
          }
        ]
      },
      "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-p5f8-gfw5-33w4",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-p5f8-gfw5-33w4",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "==2.3.0",
          "affected_versions": "Version 2.3.0",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-122",
            "CWE-20",
            "CWE-937"
          ],
          "date": "2020-10-01",
          "description": "In Tensorflow, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside the bounds of `split_values` once `batch_idx` grows too large.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15201",
          "identifiers": [
            "CVE-2020-15201",
            "GHSA-p5f8-gfw5-33w4"
          ],
          "not_impacted": "All versions before 2.3.0, all versions after 2.3.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15201"
          ],
          "uuid": "e5e078de-b594-472e-bb8b-90bf33e8d2ea"
        },
        {
          "affected_range": "==2.3.0",
          "affected_versions": "Version 2.3.0",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-122",
            "CWE-20",
            "CWE-937"
          ],
          "date": "2020-10-01",
          "description": "In Tensorflow, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside the bounds of `split_values` once `batch_idx` grows too large.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15201",
          "identifiers": [
            "CVE-2020-15201",
            "GHSA-p5f8-gfw5-33w4"
          ],
          "not_impacted": "All versions before 2.3.0, all versions after 2.3.0",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15201"
          ],
          "uuid": "8e803539-8b48-4264-8b51-c238a310afc9"
        },
        {
          "affected_range": "==2.3.0",
          "affected_versions": "Version 2.3.0",
          "cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-787",
            "CWE-937"
          ],
          "date": "2021-11-18",
          "description": "In Tensorflow, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside the bounds of `split_values` once `batch_idx` grows too large.",
          "fixed_versions": [
            "2.3.1"
          ],
          "identifier": "CVE-2020-15201",
          "identifiers": [
            "CVE-2020-15201",
            "GHSA-p5f8-gfw5-33w4"
          ],
          "not_impacted": "All versions before 2.3.0, all versions after 2.3.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to version 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15201"
          ],
          "uuid": "23453915-2b90-4ccb-99dc-f7e0b9c26529"
        }
      ]
    },
    "nvd.nist.gov": {
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        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*",
                "cpe_name": [],
                "vulnerable": true
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            ],
            "operator": "OR"
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          "ID": "CVE-2020-15201"
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        "data_type": "CVE",
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        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
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                  "value": "CWE-787"
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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/security/advisories/GHSA-p5f8-gfw5-33w4",
              "refsource": "CONFIRM",
              "tags": [
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              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4"
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              "name": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02",
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              "tags": [
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            }
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      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "MEDIUM",
            "accessVector": "NETWORK",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 6.8,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 8.6,
          "impactScore": 6.4,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 4.8,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
            "version": "3.1"
          },
          "exploitabilityScore": 2.2,
          "impactScore": 2.5
        }
      },
      "lastModifiedDate": "2021-11-18T17:24Z",
      "publishedDate": "2020-09-25T19:15Z"
    }
  }
}


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