GHSA-GQ2J-CR96-GVQX

Vulnerability from github – Published: 2022-11-21 20:44 – Updated: 2022-11-21 20:44
VLAI?
Summary
`MirrorPadGrad` heap out of bounds read
Details

Impact

If MirrorPadGrad is given outsize input paddings, TensorFlow will give a heap OOB error.

import tensorflow as tf
tf.raw_ops.MirrorPadGrad(input=[1],
             paddings=[[0x77f00000,0xa000000]],
             mode = 'REFLECT')

Patches

We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Vul AI.

Severity ?
4.8 (Medium)
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
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  "affected": [
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
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  ],
  "aliases": [
    "CVE-2022-41895"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-11-21T20:44:36Z",
    "nvd_published_at": "2022-11-18T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nIf [`MirrorPadGrad`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc) is given outsize input `paddings`, TensorFlow will give a heap OOB error.\n\n```python\nimport tensorflow as tf\ntf.raw_ops.MirrorPadGrad(input=[1],\n             paddings=[[0x77f00000,0xa000000]],\n             mode = \u0027REFLECT\u0027)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [717ca98d8c3bba348ff62281fdf38dcb5ea1ec92](https://github.com/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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 Vul AI.\n",
  "id": "GHSA-gq2j-cr96-gvqx",
  "modified": "2022-11-21T20:44:36Z",
  "published": "2022-11-21T20:44:36Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gq2j-cr96-gvqx"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41895"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc"
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  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "`MirrorPadGrad` heap out of bounds read"
}


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