{
  "GSD": {
    "alias": "CVE-2023-25669",
    "id": "GSD-2023-25669"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
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      "aliases": [
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      "details": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.",
      "id": "GSD-2023-25669",
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      "advisories": [
        {
          "affected_range": "\u003c2.11.1",
          "affected_versions": "All versions before 2.11.1",
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            "CWE-1035",
            "CWE-697",
            "CWE-937"
          ],
          "date": "2023-03-24",
          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.",
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            "GHSA-rcf8-g8jv-vg6p",
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          "not_impacted": "All versions starting from 2.11.1",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2023-03-24",
          "solution": "Upgrade to version 2.11.1 or above.",
          "title": "Incorrect Comparison",
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            "CWE-937"
          ],
          "date": "2023-03-24",
          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.",
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          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2023-03-24",
          "solution": "Upgrade to version 2.11.1 or above.",
          "title": "Incorrect Comparison",
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          "cwe_ids": [
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            "CWE-697",
            "CWE-937"
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          "date": "2023-03-30",
          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.",
          "fixed_versions": [
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          "identifier": "CVE-2023-25669",
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            "GHSA-rcf8-g8jv-vg6p"
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          "not_impacted": "All versions starting from 2.11.1",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2023-03-25",
          "solution": "Upgrade to version 2.11.1 or above.",
          "title": "Incorrect Comparison",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p",
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                "versionEndExcluding": "2.12.0",
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
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            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
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          "impactScore": 3.6
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      "lastModifiedDate": "2023-03-30T17:44Z",
      "publishedDate": "2023-03-25T00:15Z"
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
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              "introduced": "0"
            },
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              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-25669"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-697"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-24T21:56:53Z",
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nIf the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\n@tf.function(jit_compile=True)\ndef test():\n   y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding=\"SAME\", data_format=\"NCHW\")\n   return y\n\nprint(test())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n\n### Attribution\nThis vulnerability has been reported by r3pwnx of 360 AIVul Team\n",
  "id": "GHSA-rcf8-g8jv-vg6p",
  "modified": "2023-03-30T22:16:24Z",
  "published": "2023-03-24T21:56:53Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25669"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow has Floating Point Exception in AvgPoolGrad with XLA"
}