gsd-2021-41196
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Aliases
Aliases
CVE-2021-41196


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{
  "GSD": {
    "alias": "CVE-2021-41196",
    "description": "TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
    "id": "GSD-2021-41196",
    "references": [
      "https://www.suse.com/security/cve/CVE-2021-41196.html",
      "https://security.archlinux.org/CVE-2021-41196"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2021-41196"
      ],
      "details": "TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
      "id": "GSD-2021-41196",
      "modified": "2023-12-13T01:23:27.379872Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2021-41196",
        "STATE": "PUBLIC",
        "TITLE": "Crash in `max_pool3d` when size argument is 0 or negative"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
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                          "version_value": "\u003e= 2.6.0, \u003c 2.6.1"
                        },
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                          "version_value": "\u003e= 2.5.0, \u003c 2.5.2"
                        },
                        {
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                        }
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      "description": {
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            "lang": "eng",
            "value": "TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-191: Integer Underflow (Wrap or Wraparound)"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8",
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            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/issues/51936",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/issues/51936"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-m539-j985-hcr8",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
          "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
          "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
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          "cwe_ids": [
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          ],
          "date": "2021-11-10",
          "description": "TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
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            "2.4.4",
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          "identifier": "CVE-2021-41196",
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          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2021-11-10",
          "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
          "title": "Integer Underflow ",
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            "https://github.com/tensorflow/tensorflow/issues/51936",
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            "https://github.com/advisories/GHSA-m539-j985-hcr8"
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          "uuid": "38ce2a83-1919-497d-b443-5ce1aded445f"
        },
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          "affected_range": "\u003e=2.6.0,\u003c2.6.1||\u003e=2.5.0,\u003c2.5.2||\u003c2.4.4",
          "affected_versions": "All versions starting from 2.6.0 before 2.6.1, all versions starting from 2.5.0 before 2.5.2, all versions before 2.4.4",
          "cvss_v2": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
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          ],
          "date": "2021-11-10",
          "description": "TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.6.1",
            "2.4.4",
            "2.4.4"
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          "identifier": "CVE-2021-41196",
          "identifiers": [
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            "CVE-2021-41196"
          ],
          "not_impacted": "All versions before 2.6.0, all versions starting from 2.6.1, all versions before 2.5.0, all versions starting from 2.4.4 before 2.5.2",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2021-11-10",
          "solution": "Upgrade to versions 2.6.1, 2.4.4, 2.4.4 or above.",
          "title": "Integer Underflow ",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8",
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          ],
          "date": "2021-11-09",
          "description": "TensorFlow is an open source platform for machine learning.This is due to the TensorFlow\u0027s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive.",
          "fixed_versions": [
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            "2.5.2",
            "2.6.1"
          ],
          "identifier": "CVE-2021-41196",
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            "GHSA-m539-j985-hcr8"
          ],
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2021-11-05",
          "solution": "Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.",
          "title": "Integer Underflow (Wrap or Wraparound)",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2021-41196",
            "https://github.com/tensorflow/tensorflow/issues/51936",
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8"
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        }
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    "nvd.nist.gov": {
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      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 2.1,
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "LOW",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
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            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2021-11-09T13:56Z",
      "publishedDate": "2021-11-05T20:15Z"
    }
  }
}


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