pysec - pysec-2021-284

pysec-2021-284

Vulnerability from pysec

Published

2021-08-12 21:15

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 generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature and similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2. The implementation does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. 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": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad"
            },
            {
              "fixed": "429f009d2b2c09028647dd4bb7b3f6f414bbaad7"
            }
          ],
          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.4"
            },
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.4.0",
        "2.4.1",
        "2.4.2"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37662",
    "GHSA-f5cx-5wr3-5qrc"
  ],
  "details": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. 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-2021-284",
  "modified": "2021-08-27T03:22:45.118929Z",
  "published": "2021-08-12T21:15:00Z",
  "references": [
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f5cx-5wr3-5qrc"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/429f009d2b2c09028647dd4bb7b3f6f414bbaad7"
    }
  ]
}

cve-2021-37662

Vulnerability from cvelistv5

Published

2021-08-12 20:55

Modified

2024-08-04 01:23

Severity ?

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

Summary

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. 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-f5cx-5wr3-5qrc	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/429f009d2b2c09028647dd4bb7b3f6f414bbaad7	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/commit/9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad	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-f5cx-5wr3-5qrc

Vulnerability from github

Published

2021-08-25 14:42

Modified

2024-11-13 20:55

Severity ?

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

Summary

Reference binding to nullptr in boosted trees

Details

Impact

An attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature:

```python import tensorflow as tf

tf.raw_ops.BoostedTreesCalculateBestGainsPerFeature( node_id_range=[], stats_summary_list=[[1,2,3]], l1=[1.0], l2=[1.0], tree_complexity =[1.0], min_node_weight =[1.17], max_splits=5) ```

A similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2:

```python import tensorflow as tf

tf.raw_ops.BoostedTreesCalculateBestFeatureSplitV2( node_id_range=[], stats_summaries_list=[[1,2,3]], split_types=[''], candidate_feature_ids=[1,2,3,4], l1=[1],
l2=[1], tree_complexity=[1.0], min_node_weight=[1.17], logits_dimension=5) ```

The implementation does not validate the input values.

Patches

We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit. 429f009d2b2c09028647dd4bb7b3f6f414bbaad7.

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 members of the Aivul Team from Qihoo 360.

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": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
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              "fixed": "2.5.1"
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      "versions": [
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        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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            },
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          "type": "ECOSYSTEM"
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        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
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        "name": "tensorflow-gpu"
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              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
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          "type": "ECOSYSTEM"
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      },
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        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37662"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T13:33:26Z",
    "nvd_published_at": "2021-08-12T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nAn attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature`:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.BoostedTreesCalculateBestGainsPerFeature(\n  node_id_range=[],\n  stats_summary_list=[[1,2,3]],\n  l1=[1.0],\n  l2=[1.0],\n  tree_complexity =[1.0],\n  min_node_weight =[1.17],\n  max_splits=5)\n```\n\nA similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`:\n\n```python\nimport tensorflow as tf\n                                                                                                                                                                                                                                                                                          \ntf.raw_ops.BoostedTreesCalculateBestFeatureSplitV2(\n  node_id_range=[],\n  stats_summaries_list=[[1,2,3]],\n  split_types=[\u0027\u0027],\n  candidate_feature_ids=[1,2,3,4],\n  l1=[1],     \n  l2=[1],\n  tree_complexity=[1.0],\n  min_node_weight=[1.17],\n  logits_dimension=5)\n```     \n    \nThe  [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values.\n\n### Patches\nWe have patched the issue in GitHub commit [9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad](https://github.com/tensorflow/tensorflow/commit/9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad) and in commit. [429f009d2b2c09028647dd4bb7b3f6f414bbaad7](https://github.com/tensorflow/tensorflow/commit/429f009d2b2c09028647dd4bb7b3f6f414bbaad7).\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 members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-f5cx-5wr3-5qrc",
  "modified": "2024-11-13T20:55:59Z",
  "published": "2021-08-25T14:42:26Z",
  "references": [
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      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f5cx-5wr3-5qrc"
    },
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37662"
    },
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    },
    {
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      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-284.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Reference binding to nullptr in boosted trees"
}

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-2021-284

Vulnerability from pysec

cve-2021-37662

Vulnerability from cvelistv5

ghsa-f5cx-5wr3-5qrc

Vulnerability from github

Impact

Patches

For more information

Attribution

Tags

Sightings

Nomenclature