ghsa-h246-cgh4-7475
Vulnerability from github
Published
2022-11-21 20:42
Modified
2022-11-21 20:42
Severity ?
4.8 (Medium) - CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Summary
`CHECK` fail in `BCast` overflow
Details

Impact

If BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b. python import tensorflow as tf value = tf.constant(shape=[2, 1024, 1024, 1024], value=False) tf.experimental.numpy.outer(a=6,b=value)

Patches

We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5.

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 Pattarakrit Rattankul.

Show details on source website

To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.8.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.10.0"
            },
            {
              "fixed": "2.10.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
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            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
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            {
              "fixed": "2.8.4"
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          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
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              "introduced": "2.9.0"
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            }
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    },
    {
      "package": {
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        "name": "tensorflow-gpu"
      },
      "ranges": [
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              "introduced": "2.9.0"
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            {
              "fixed": "2.9.3"
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      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
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            {
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              "fixed": "2.10.1"
            }
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          "type": "ECOSYSTEM"
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    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.10.0"
            },
            {
              "fixed": "2.10.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-41890"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-704"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-11-21T20:42:10Z",
    "nvd_published_at": "2022-11-18T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nIf [`BCast::ToShape`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/util/bcast.h) is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in [`tf.experimental.numpy.outer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/util/bcast.h) by passing in large input to the input `b`.\n```python\nimport tensorflow as tf\nvalue = tf.constant(shape=[2, 1024, 1024, 1024], value=False)\ntf.experimental.numpy.outer(a=6,b=value)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [8310bf8dd188ff780e7fc53245058215a05bdbe5](https://github.com/tensorflow/tensorflow/commit/8310bf8dd188ff780e7fc53245058215a05bdbe5).\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 Pattarakrit Rattankul.\n",
  "id": "GHSA-h246-cgh4-7475",
  "modified": "2022-11-21T20:42:10Z",
  "published": "2022-11-21T20:42:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h246-cgh4-7475"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41890"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/8310bf8dd188ff780e7fc53245058215a05bdbe5"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/util/bcast.h"
    }
  ],
  "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": "`CHECK` fail in `BCast` overflow"
}


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