pysec - pysec-2022-99

pysec-2022-99

Vulnerability from pysec

Published

2022-02-04 23:15

Modified

2022-05-23 17:22

Details

Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu",
        "purl": "pkg:pypi/tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "955059813cc325dc1db5e2daa6221271406d4439"
            }
          ],
          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.15.0",
        "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",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.3.4",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.4.3",
        "2.4.4",
        "2.5.0",
        "2.5.1",
        "2.5.2",
        "2.5.3",
        "2.6.0",
        "2.6.1",
        "2.6.2",
        "2.6.3",
        "2.7.0",
        "2.7.0rc0",
        "2.7.0rc1",
        "2.6.4",
        "2.6.5"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-23590",
    "GHSA-pqrv-8r2f-7278"
  ],
  "details": "Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.",
  "id": "PYSEC-2022-99",
  "modified": "2022-05-23T17:22:06.927466Z",
  "published": "2022-02-04T23:15:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439"
    }
  ]
}

ghsa-pqrv-8r2f-7278

Vulnerability from github

Published

2022-02-09 23:29

Modified

2024-11-07 22:32

Severity ?

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

Summary

Crash due to erroneous `StatusOr` in TensorFlow

Details

Impact

A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it:

cc if (op_reg_data->type_ctor != nullptr) { VLOG(3) << "AddNode: found type constructor for " << node_def.name(); const auto ctor_type = full_type::SpecializeType(AttrSlice(node_def), op_reg_data->op_def); const FullTypeDef ctor_typedef = ctor_type.ValueOrDie(); if (ctor_typedef.type_id() != TFT_UNSET) { *(node_def.mutable_experimental_type()) = ctor_typedef; } }

If ctor_type is an error status, ValueOrDie results in a crash.

Patches

We have patched the issue in GitHub commit 955059813cc325dc1db5e2daa6221271406d4439.

We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-23590"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-754"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-02-04T18:27:28Z",
    "nvd_published_at": "2022-02-04T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nA `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering [a `StatusOr` value that is an error and forcibly extracting the value from it](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567):\n\n```cc\n  if (op_reg_data-\u003etype_ctor != nullptr) {\n    VLOG(3) \u003c\u003c \"AddNode: found type constructor for \" \u003c\u003c node_def.name();\n    const auto ctor_type =\n        full_type::SpecializeType(AttrSlice(node_def), op_reg_data-\u003eop_def);\n    const FullTypeDef ctor_typedef = ctor_type.ValueOrDie();\n    if (ctor_typedef.type_id() != TFT_UNSET) {\n      *(node_def.mutable_experimental_type()) = ctor_typedef;\n    }\n  }\n```   \n      \nIf `ctor_type` is an error status, `ValueOrDie` results in a crash.\n        \n### Patches\nWe have patched the issue in GitHub commit [955059813cc325dc1db5e2daa6221271406d4439](https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439).\n  \nWe have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.\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.",
  "id": "GHSA-pqrv-8r2f-7278",
  "modified": "2024-11-07T22:32:16Z",
  "published": "2022-02-09T23:29:38Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23590"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-99.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-154.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Crash due to erroneous `StatusOr` in TensorFlow"
}

cve-2022-23590

Vulnerability from cvelistv5

Published

2022-02-04 22:32

Modified

2024-08-03 03:43

Severity ?

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

Summary

Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

tensorflow

Version: >= 2.7.0, < 2.8.0

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-2022-99

Vulnerability from pysec

ghsa-pqrv-8r2f-7278

Vulnerability from github

Impact

Patches

For more information

cve-2022-23590

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature