GSD-2020-15194

Vulnerability from gsd - Updated: 2023-12-13 01:21
Details
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
Aliases
Aliases
CVE-2020-15194
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{
  "GSD": {
    "alias": "CVE-2020-15194",
    "description": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.\"",
    "id": "GSD-2020-15194",
    "references": [
      "https://www.suse.com/security/cve/CVE-2020-15194.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-15194"
      ],
      "details": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.\"",
      "id": "GSD-2020-15194",
      "modified": "2023-12-13T01:21:43.621160Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2020-15194",
        "STATE": "PUBLIC",
        "TITLE": "Denial of Service in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003c 1.15.4"
                        },
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                          "version_value": "\u003e= 2.0.0, \u003c 2.0.3"
                        },
                        {
                          "version_value": "\u003e= 2.1.0, \u003c 2.1.2"
                        },
                        {
                          "version_value": "\u003e= 2.2.0, \u003c 2.2.1"
                        },
                        {
                          "version_value": "\u003e= 2.3.0, \u003c 2.3.1"
                        }
                      ]
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              "vendor_name": "tensorflow"
            }
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      "data_type": "CVE",
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      "description": {
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          {
            "lang": "eng",
            "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.\""
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 5.3,
          "baseSeverity": "MEDIUM",
          "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:L",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-617\":\"Reachable Assertion\"}"
              }
            ]
          },
          {
            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-20\":\"Improper Input Validation\"}"
              }
            ]
          }
        ]
      },
      "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/390611e0d45c5793c7066110af37c8514e6a6c54",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382"
          },
          {
            "name": "openSUSE-SU-2020:1766",
            "refsource": "SUSE",
            "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-9mqp-7v2h-2382",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1",
          "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:L",
          "cwe_ids": [
            "CWE-1035",
            "CWE-20",
            "CWE-617",
            "CWE-937"
          ],
          "date": "2020-12-23",
          "description": "In Tensorflow, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations.",
          "fixed_versions": [
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15194",
          "identifiers": [
            "CVE-2020-15194",
            "GHSA-9mqp-7v2h-2382"
          ],
          "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to versions 2.1.2, 2.2.1, 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15194"
          ],
          "uuid": "3876091c-82c7-4fa4-a410-45627ee54439"
        },
        {
          "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1",
          "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:L",
          "cwe_ids": [
            "CWE-1035",
            "CWE-20",
            "CWE-617",
            "CWE-937"
          ],
          "date": "2020-12-23",
          "description": "In Tensorflow, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations.",
          "fixed_versions": [
            "1.15.4",
            "2.0.3",
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15194",
          "identifiers": [
            "CVE-2020-15194",
            "GHSA-9mqp-7v2h-2382"
          ],
          "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15194"
          ],
          "uuid": "db12b470-3672-4755-81ef-186b89f65564"
        },
        {
          "affected_range": "\u003c1.15.4||\u003e=2.0.0,\u003c2.0.3||\u003e=2.1.0,\u003c2.1.2||\u003e=2.2.0,\u003c2.2.1||\u003e=2.3.0,\u003c2.3.1",
          "affected_versions": "All versions before 1.15.4, all versions starting from 2.0.0 before 2.0.3, all versions starting from 2.1.0 before 2.1.2, all versions starting from 2.2.0 before 2.2.1, all versions starting from 2.3.0 before 2.3.1",
          "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:L",
          "cwe_ids": [
            "CWE-1035",
            "CWE-20",
            "CWE-617",
            "CWE-937"
          ],
          "date": "2021-08-17",
          "description": "In Tensorflow, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations.",
          "fixed_versions": [
            "1.15.4",
            "2.0.3",
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15194",
          "identifiers": [
            "CVE-2020-15194",
            "GHSA-9mqp-7v2h-2382"
          ],
          "not_impacted": "All versions starting from 1.15.4 before 2.0.0, all versions starting from 2.0.3 before 2.1.0, all versions starting from 2.1.2 before 2.2.0, all versions starting from 2.2.1 before 2.3.0, all versions starting from 2.3.1",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2020-09-25",
          "solution": "Upgrade to versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15194"
          ],
          "uuid": "ee93afc7-4f76-4a97-8040-e926b4bd2081"
        }
      ]
    },
    "nvd.nist.gov": {
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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": "LOW",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "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:L",
            "version": "3.1"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 1.4
        }
      },
      "lastModifiedDate": "2021-08-17T13:21Z",
      "publishedDate": "2020-09-25T19:15Z"
    }
  }
}


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Sightings

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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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • 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.



Detection rules are retrieved from Rulezet.