pysec - pysec-2022-49

pysec-2022-49

Vulnerability from pysec

Published

2022-02-03 13:15

Modified

2022-03-09 00:17

Details

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Impacted products

Name	purl
tensorflow-cpu	pkg:pypi/tensorflow-cpu

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu",
        "purl": "pkg:pypi/tensorflow-cpu"
      },
      "ranges": [
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          "type": "GIT"
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          "type": "ECOSYSTEM"
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      "versions": [
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        "2.1.0",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.1.4",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.2.3",
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        "2.3.4",
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        "2.4.1",
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        "2.5.2",
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        "2.6.1",
        "2.6.2"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-21725",
    "GHSA-v3f7-j968-4h5f"
  ],
  "details": "Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.",
  "id": "PYSEC-2022-49",
  "modified": "2022-03-09T00:17:29.922594Z",
  "published": "2022-02-03T13:15:00Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f"
    }
  ]
}

ghsa-v3f7-j968-4h5f

Vulnerability from github

Published

2022-02-10 00:15

Modified

2024-11-13 22:08

Severity ?

6.5 (Medium) - CVSS:3.1/AV:N/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

Division by zero in Tensorflow

Details

Impact

The estimator for the cost of some convolution operations can be made to execute a division by 0:

```python import tensorflow as tf

@tf.function def test(): y=tf.raw_ops.AvgPoolGrad( orig_input_shape=[1,1,1,1], grad=[[[[1.0],[1.0],[1.0]]],[[[2.0],[2.0],[2.0]]],[[[3.0],[3.0],[3.0]]]], ksize=[1,1,1,1], strides=[1,1,1,0], padding='VALID', data_format='NCHW') return y

test() ```

The function fails to check that the stride argument is stricly positive:

cc int64_t GetOutputSize(const int64_t input, const int64_t filter, const int64_t stride, const Padding& padding) { // Logic for calculating output shape is from GetWindowedOutputSizeVerbose() // function in third_party/tensorflow/core/framework/common_shape_fns.cc. if (padding == Padding::VALID) { return (input - filter + stride) / stride; } else { // SAME. return (input + stride - 1) / stride; } }

Hence, the fix is to add a check for the stride argument to ensure it is valid.

Patches

We have patched the issue in GitHub commit 3218043d6d3a019756607643cf65574fbfef5d7a.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Yu Tian of Qihoo 360 AIVul Team.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
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          "events": [
            {
              "introduced": "0"
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          "type": "ECOSYSTEM"
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        "name": "tensorflow"
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  ],
  "aliases": [
    "CVE-2022-21725"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-369"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-02-03T18:05:56Z",
    "nvd_published_at": "2022-02-03T13:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact \nThe [estimator for the cost of some convolution operations](https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198) can be made to execute a division by 0:\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n  y=tf.raw_ops.AvgPoolGrad(\n    orig_input_shape=[1,1,1,1],\n    grad=[[[[1.0],[1.0],[1.0]]],[[[2.0],[2.0],[2.0]]],[[[3.0],[3.0],[3.0]]]],\n    ksize=[1,1,1,1],\n    strides=[1,1,1,0],\n    padding=\u0027VALID\u0027,\n    data_format=\u0027NCHW\u0027)\n  return y\n\ntest()\n```\n\nThe function fails to check that the stride argument is stricly positive:\n\n```cc\nint64_t GetOutputSize(const int64_t input, const int64_t filter,\n                      const int64_t stride, const Padding\u0026 padding) {\n  // Logic for calculating output shape is from GetWindowedOutputSizeVerbose() \n  // function in third_party/tensorflow/core/framework/common_shape_fns.cc.\n  if (padding == Padding::VALID) {\n    return (input - filter + stride) / stride;\n  } else {  // SAME.\n    return (input + stride - 1) / stride;\n  }\n} \n```\n\nHence, the fix is to add a check for the stride argument to ensure it is valid.\n\n### Patches\nWe have patched the issue in GitHub commit [3218043d6d3a019756607643cf65574fbfef5d7a](https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a).\n\nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Yu Tian of Qihoo 360 AIVul Team.",
  "id": "GHSA-v3f7-j968-4h5f",
  "modified": "2024-11-13T22:08:22Z",
  "published": "2022-02-10T00:15:07Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21725"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a"
    },
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      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-49.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow"
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      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198"
    }
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  "severity": [
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      "score": "CVSS:3.1/AV:N/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": "Division by zero in Tensorflow"
}

CVE-2022-21725 (GCVE-0-2022-21725)

Vulnerability from cvelistv5

Published

2022-02-03 12:21

Modified

2025-05-05 16:33

Severity ?

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

CWE

Summary

References

►

URL

Tags

	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	n/a	n/a	Version: n/a

Show details on NVD website

JSON

To clipboard

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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-2022-49

Vulnerability from pysec

ghsa-v3f7-j968-4h5f

Vulnerability from github

Impact

Patches

For more information

Attribution

CVE-2022-21725 (GCVE-0-2022-21725)

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature