pysec - pysec-2021-296

pysec-2021-296

Vulnerability from pysec

Published

2021-08-12 23:15

Modified

2021-08-27 03:22

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the orig_input and orig_output tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow",
        "purl": "pkg:pypi/tensorflow"
      },
      "ranges": [
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        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.4.0",
        "2.4.1",
        "2.4.2"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37674",
    "GHSA-7ghq-fvr3-pj2x"
  ],
  "details": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.",
  "id": "PYSEC-2021-296",
  "modified": "2021-08-27T03:22:46.211223Z",
  "published": "2021-08-12T23:15:00Z",
  "references": [
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md"
    }
  ]
}

cve-2021-37674

Vulnerability from cvelistv5

Published

2021-08-12 22:40

Modified

2024-08-04 01:23

Severity ?

5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Summary

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

tensorflow

Version: >= 2.5.0, < 2.5.1
Version: >= 2.4.0, < 2.4.3
Version: < 2.3.4

Show details on NVD website

JSON

To clipboard

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ghsa-7ghq-fvr3-pj2x

Vulnerability from github

Published

2021-08-25 14:41

Modified

2024-11-13 21:12

Severity ?

5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
6.8 (Medium) - CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Summary

Incomplete validation in `MaxPoolGrad`

Details

Impact

An attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation:

```python import tensorflow as tf

tf.raw_ops.MaxPoolGrad( orig_input = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), orig_output = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), grad = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), ksize = [1, 16, 16, 1], strides = [1, 16, 18, 1], padding = "EXPLICIT", explicit_paddings = [0, 0, 14, 3, 15, 5, 0, 0]) ```

The implementation misses some validation for the orig_input and orig_output tensors.

The fixes for CVE-2021-29579 were incomplete.

Patches

We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 Yakun Zhang of Baidu Security.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
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            {
              "introduced": "2.4.0"
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            {
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          "type": "ECOSYSTEM"
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    },
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        "ecosystem": "PyPI",
        "name": "tensorflow"
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      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
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          ],
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      ],
      "versions": [
        "2.5.0"
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        "name": "tensorflow-cpu"
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        "name": "tensorflow-cpu"
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        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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        "name": "tensorflow-gpu"
      },
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            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37674"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1284",
      "CWE-20"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T15:39:22Z",
    "nvd_published_at": "2021-08-12T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nAn attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation:\n\n```python\nimport tensorflow as tf\n  \ntf.raw_ops.MaxPoolGrad(\n  orig_input = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),\n  orig_output = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),\n  grad = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32),\n  ksize = [1, 16, 16, 1],\n  strides = [1, 16, 18, 1],\n  padding = \"EXPLICIT\",\n  explicit_paddings = [0, 0, 14, 3, 15, 5, 0, 0])\n```\n  \nThe [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors.\n\nThe fixes for [CVE-2021-29579](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md) were incomplete.\n                                                                                                                                                                                                                                                                                          \n### Patches\nWe have patched the issue in GitHub commit [136b51f10903e044308cf77117c0ed9871350475](https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\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### Attribution\nThis vulnerability has been reported by Yakun Zhang of Baidu Security.",
  "id": "GHSA-7ghq-fvr3-pj2x",
  "modified": "2024-11-13T21:12:32Z",
  "published": "2021-08-25T14:41:33Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37674"
    },
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      "url": "https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475"
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    },
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      "type": "PACKAGE",
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      "type": "WEB",
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    }
  ],
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  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Incomplete validation in `MaxPoolGrad`"
}

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.

Action not permitted

pysec-2021-296

Vulnerability from pysec

cve-2021-37674

Vulnerability from cvelistv5

ghsa-7ghq-fvr3-pj2x

Vulnerability from github

Impact

Patches

For more information

Attribution

Tags

Sightings

Nomenclature