gsd-2020-15202
Vulnerability from gsd
Modified
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 `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, 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-2020-15202


To clipboard 

{
  "GSD": {
    "alias": "CVE-2020-15202",
    "description": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.",
    "id": "GSD-2020-15202",
    "references": [
      "https://www.suse.com/security/cve/CVE-2020-15202.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-15202"
      ],
      "details": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.",
      "id": "GSD-2020-15202",
      "modified": "2023-12-13T01:21:43.929261Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
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        "ID": "CVE-2020-15202",
        "STATE": "PUBLIC",
        "TITLE": "Integer truncation in Shard API usage"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
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                  {
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                    "version": {
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                          "version_value": "\u003e= 2.2.0, \u003c 2.2.1"
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                          "version_value": "\u003e= 2.3.0, \u003c 2.3.1"
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            "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
          }
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        "cvss": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        }
      },
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            "description": [
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                "lang": "eng",
                "value": "{\"CWE-197\":\"Numeric Truncation Error\"}"
              }
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            "description": [
              {
                "lang": "eng",
                "value": "{\"CWE-754\":\"Improper Check for Unusual or Exceptional Conditions\"}"
              }
            ]
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      "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/security/advisories/GHSA-h6fg-mjxg-hqq4",
            "refsource": "CONFIRM",
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            "name": "https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832",
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          {
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            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575"
          },
          {
            "name": "openSUSE-SU-2020:1766",
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            "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"
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        ]
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      "source": {
        "advisory": "GHSA-h6fg-mjxg-hqq4",
        "discovery": "UNKNOWN"
      }
    },
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        {
          "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:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-197",
            "CWE-754",
            "CWE-937"
          ],
          "date": "2020-10-29",
          "description": "In Tensorflow, the Shard API in TensorFlow expects the last argument to be a function taking two `int64` arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside heap allocated arrays, stack overflows, or data corruption.",
          "fixed_versions": [
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15202",
          "identifiers": [
            "CVE-2020-15202",
            "GHSA-h6fg-mjxg-hqq4"
          ],
          "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 Check for Unusual or Exceptional Conditions",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15202"
          ],
          "uuid": "7d38b1f8-ddcd-4e53-9adb-59f752452e01"
        },
        {
          "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:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
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            "CWE-197",
            "CWE-754",
            "CWE-937"
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          "date": "2020-10-29",
          "description": "In Tensorflow, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside heap allocated arrays, stack overflows, or data corruption.",
          "fixed_versions": [
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            "2.0.3",
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15202",
          "identifiers": [
            "CVE-2020-15202",
            "GHSA-h6fg-mjxg-hqq4"
          ],
          "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 Check for Unusual or Exceptional Conditions",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15202"
          ],
          "uuid": "921b6a6c-4f7c-496a-b136-c2797f2948b3"
        },
        {
          "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:M/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-937"
          ],
          "date": "2021-11-18",
          "description": "In Tensorflow, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside heap allocated arrays, stack overflows, or data corruption.",
          "fixed_versions": [
            "1.15.4",
            "2.0.3",
            "2.1.2",
            "2.2.1",
            "2.3.1"
          ],
          "identifier": "CVE-2020-15202",
          "identifiers": [
            "CVE-2020-15202",
            "GHSA-h6fg-mjxg-hqq4"
          ],
          "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 Check for Unusual or Exceptional Conditions",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-15202"
          ],
          "uuid": "6792f5bd-60fe-4443-8fd7-b4a283132a6c"
        }
      ]
    },
    "nvd.nist.gov": {
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "1.15.4",
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*",
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      "impact": {
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          "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": {
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            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.0,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 2.2,
          "impactScore": 6.0
        }
      },
      "lastModifiedDate": "2021-11-18T17:26Z",
      "publishedDate": "2020-09-25T19:15Z"
    }
  }
}


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