pysec - pysec-2022-77

pysec-2022-77

Vulnerability from pysec

Published

2022-02-03 12:15

Modified

2022-03-09 00:17

Details

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. 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": [
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu",
        "purl": "pkg:pypi/tensorflow-cpu"
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      "ranges": [
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          "repo": "https://github.com/tensorflow/tensorflow",
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      "versions": [
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        "2.1.0",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.1.4",
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        "2.2.1",
        "2.2.2",
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  ],
  "aliases": [
    "CVE-2022-23568",
    "GHSA-6445-fm66-fvq2"
  ],
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  "id": "PYSEC-2022-77",
  "modified": "2022-03-09T00:17:33.439630Z",
  "published": "2022-02-03T12:15:00Z",
  "references": [
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      "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc"
    },
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}

ghsa-6445-fm66-fvq2

Vulnerability from github

Published

2022-02-09 23:39

Modified

2024-11-13 22:44

Severity ?

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

Summary

Integer overflows in Tensorflow

Details

Impact

The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service):

```python import tensorflow as tf import numpy as np

tf.raw_ops.AddManySparseToTensorsMap( sparse_indices=[(0,0),(0,1),(0,2),(4,3),(5,0),(5,1)], sparse_values=[1,1,1,1,1,1], sparse_shape=[232,232], container='', shared_name='', name=None) ```

We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The latter is an instance of TFSA-2021-198 (CVE-2021-41197) and is easily fixed by replacing a call to TensorShape constructor with a call to BuildTensorShape static helper factory.

Patches

We have patched the issue in GitHub commits b51b82fe65ebace4475e3c54eb089c18a4403f1c and a68f68061e263a88321c104a6c911fe5598050a8.

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 Faysal Hossain Shezan from University of Virginia.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
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  "aliases": [
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    "github_reviewed": true,
    "github_reviewed_at": "2022-02-03T21:12:07Z",
    "nvd_published_at": "2022-02-03T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact \nThe [implementation of `AddManySparseToTensorsMap`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc) is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service):\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\ntf.raw_ops.AddManySparseToTensorsMap(\n    sparse_indices=[(0,0),(0,1),(0,2),(4,3),(5,0),(5,1)],\n    sparse_values=[1,1,1,1,1,1],\n    sparse_shape=[2**32,2**32],\n    container=\u0027\u0027,\n    shared_name=\u0027\u0027,\n    name=None)\n```\n\nWe are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The latter is an instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197) and is easily fixed by replacing a call to `TensorShape` constructor with a call to `BuildTensorShape` static helper factory.\n### Patches\nWe have patched the issue in GitHub commits [b51b82fe65ebace4475e3c54eb089c18a4403f1c](https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c) and [a68f68061e263a88321c104a6c911fe5598050a8](https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8).\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 Faysal Hossain Shezan from University of Virginia.",
  "id": "GHSA-6445-fm66-fvq2",
  "modified": "2024-11-13T22:44:38Z",
  "published": "2022-02-09T23:39:11Z",
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  "summary": "Integer overflows in Tensorflow"
}

CVE-2022-23568 (GCVE-0-2022-23568)

Vulnerability from cvelistv5

Published

2022-02-03 11:42

Modified

2025-05-05 16:26

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

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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.

References

►

URL

Tags

	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc	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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            {
              "name": "https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc"
            }
          ]
        },
        "source": {
          "advisory": "GHSA-6445-fm66-fvq2",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2022-23568",
    "datePublished": "2022-02-03T11:42:54.000Z",
    "dateReserved": "2022-01-19T00:00:00.000Z",
    "dateUpdated": "2025-05-05T16:26:20.925Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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-2022-77

Vulnerability from pysec

ghsa-6445-fm66-fvq2

Vulnerability from github

Impact

Patches

For more information

Attribution

CVE-2022-23568 (GCVE-0-2022-23568)

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature