CVE-2022-29204: Tensorflow gpu Denial of Service Vulnerability

MODERATE
Advisory Identifier: GHSA-hx9q-2mx4-m4pg
Share
CVSS 5.5
CWE-191 CWE-20
Published
Advisory Summary

CVE-2022-29204 is a MODERATE (CVSS 5.5) denial of service vulnerability (CWE-191: Integer Underflow (Wrap or Wraparound)) affecting Tensorflow gpu libraries in the PyPI ecosystem. The issue involves missing validation causes denial of service via `conv3dbackpropfilterv2`. Remediation is available by upgrading affected packages to version 2.7.2, 2.6.4, 2.8.1.

CVE-2022-29204 at a Glance

CVE Identifier CVE-2022-29204
GHSA Identifier GHSA-hx9q-2mx4-m4pg
Severity MODERATE
CVSS v3.1 Base Score 5.5
CWE Classification CWE-191: Integer Underflow (Wrap or Wraparound)
Affected Product Tensorflow gpu
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.5

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Attack Vector Local (AV:L)
Attack Complexity Low (AC:L)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality None (C:N)
Integrity None (I:N)
Availability High (A:H)

How to Fix CVE-2022-29204

To remediate this vulnerability, upgrade all affected Tensorflow gpu dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

tensorflow-gpu fixed: 2.7.2 
pip install tensorflow-gpu>=2.7.2
tensorflow-gpu fixed: 2.6.4 
pip install tensorflow-gpu>=2.6.4
tensorflow-gpu fixed: 2.8.1 
pip install tensorflow-gpu>=2.8.1
tensorflow fixed: 2.6.4 
pip install tensorflow>=2.6.4
tensorflow fixed: 2.7.2 
pip install tensorflow>=2.7.2
tensorflow fixed: 2.8.1 
pip install tensorflow>=2.8.1
tensorflow-cpu fixed: 2.6.4 
pip install tensorflow-cpu>=2.6.4
tensorflow-cpu fixed: 2.7.2 
pip install tensorflow-cpu>=2.7.2
tensorflow-cpu fixed: 2.8.1 
pip install tensorflow-cpu>=2.8.1
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show tensorflow-gpu

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2022-29204, inspect your installed packages using pip:

pip show tensorflow-gpu

Analyze the terminal output to locate any version of Tensorflow gpu in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.7.2), your application is affected.

Note: The pip show tensorflow-gpu command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-191: Integer Underflow (Wrap or Wraparound), where the product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result. In Tensorflow gpu, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### Impact The implementation of [`tf.raw_ops.UnsortedSegmentJoin`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf tf.strings.unsorted_segment_join( inputs=['123'], segment_ids=[0], num_segments=-1) ``` The code assumes `num_segments` is a positive scalar but there is no validation: ```cc const Tensor& num_segments_tensor = context->input(2); auto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()(); // ... Tensor* output_tensor = nullptr; TensorShape output_shape = GetOutputShape(input_shape, segment_id_shape, num_segments); ``` Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md). ### Patches We have patched the issue in GitHub commit [84563f265f28b3c36a15335c8b005d405260e943](https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943) and GitHub commit [20cb18724b0bf6c09071a3f53434c4eec53cc147](https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range. ### For more information Please 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. ### Attribution This vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55305).

CVE-2022-29204 Affected Tensorflow gpu Versions

9 component(s)
Fixed Versions:
2.7.22.6.42.8.1
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow-gpu
pypi/tensorflow-gpu
PyPI
≥ 2.7.0
< 2.7.2
2.7.2
tensorflow-gpu
pypi/tensorflow-gpu
PyPI
< 2.6.4
2.6.4
tensorflow-gpu
pypi/tensorflow-gpu
PyPI
≥ 2.8.0
< 2.8.1
2.8.1
tensorflow
pypi/tensorflow
PyPI
< 2.6.4
2.6.4
tensorflow
pypi/tensorflow
PyPI
≥ 2.7.0
< 2.7.2
2.7.2
tensorflow
pypi/tensorflow
PyPI
≥ 2.8.0
< 2.8.1
2.8.1
tensorflow-cpu
pypi/tensorflow-cpu
PyPI
< 2.6.4
2.6.4
tensorflow-cpu
pypi/tensorflow-cpu
PyPI
≥ 2.7.0
< 2.7.2
2.7.2
tensorflow-cpu
pypi/tensorflow-cpu
PyPI
≥ 2.8.0
< 2.8.1
2.8.1

References

GitHub Advisory / Wiki ADVISORY
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx9q-2mx4-m4pg
NVD — CVE-2022-29204 NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-29204
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943
Tensorflow gpu Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow
Tensorflow gpu Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L14
Tensorflow gpu Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
Tensorflow gpu Release RELEASE
https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
Tensorflow gpu Release RELEASE
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
Tensorflow gpu Release RELEASE
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
Tensorflow gpu Release RELEASE
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0

Frequently Asked Questions

What is CVE-2022-29204?
CVE-2022-29204 is a security vulnerability in Tensorflow gpu involving Missing validation causes denial of service via `Conv3DBackpropFilterV2` under CWE-191: Integer Underflow (Wrap or Wraparound).
Which Tensorflow gpu versions are affected?
Affected versions include releases prior to 2.7.2, 2.6.4, 2.8.1 across affected packages: tensorflow-gpu, tensorflow, tensorflow-cpu.
What version fixes CVE-2022-29204?
Upgrading to 2.7.2, 2.6.4, 2.8.1 (or the latest patched release for your respective branch) resolves the vulnerability.
Is tensorflow-gpu affected?
Yes, tensorflow-gpu is affected in releases prior to 2.7.2, 2.6.4, 2.8.1. Upgrade your dependency to 2.7.2, 2.6.4, 2.8.1 or later.
Is tensorflow affected?
Yes, tensorflow is affected in releases prior to 2.6.4, 2.7.2, 2.8.1. Upgrade your dependency to 2.6.4, 2.7.2, 2.8.1 or later.
What is the CVSS score of CVE-2022-29204?
CVE-2022-29204 has a CVSS v3.1 base score of 5.5 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
What CWE is associated with CVE-2022-29204?
CVE-2022-29204 is classified under CWE-191: Integer Underflow (Wrap or Wraparound) (The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result.).
How can I check PyPI dependencies for CVE-2022-29204?
Run the dependency tree command: 'pip show tensorflow-gpu'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-hx9q-2mx4-m4pg",
  "modified" : "2022-05-24T22:12:26Z",
  "published" : "2022-05-24T22:12:26Z",
  "aliases" : [ "CVE-2022-29204" ],
  "summary" : "Missing validation causes denial of service via `Conv3DBackpropFilterV2`",
  "details" : "### Impact\nThe implementation of [`tf.raw_ops.UnsortedSegmentJoin`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:\n\n```python\nimport tensorflow as tf\n\ntf.strings.unsorted_segment_join(\n  inputs=['123'],\n  segment_ids=[0],\n  num_segments=-1)\n```\n\nThe code assumes `num_segments` is a positive scalar but there is no validation:\n\n```cc\nconst Tensor& num_segments_tensor = context->input(2);\nauto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()();\n// ...\nTensor* output_tensor = nullptr;\nTensorShape output_shape =\n    GetOutputShape(input_shape, segment_id_shape, num_segments);\n```\n\nSince this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md).\n\n### Patches \nWe have patched the issue in GitHub commit [84563f265f28b3c36a15335c8b005d405260e943](https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943) and GitHub commit [20cb18724b0bf6c09071a3f53434c4eec53cc147](https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147).\n  \nThe fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55305).",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.6.4"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.7.0"
      }, {
        "fixed" : "2.7.2"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.8.0"
      }, {
        "fixed" : "2.8.1"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-cpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.6.4"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-cpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.7.0"
      }, {
        "fixed" : "2.7.2"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-cpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.8.0"
      }, {
        "fixed" : "2.8.1"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-gpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.6.4"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-gpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.7.0"
      }, {
        "fixed" : "2.7.2"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-gpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "2.8.0"
      }, {
        "fixed" : "2.8.1"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx9q-2mx4-m4pg"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2022-29204"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/tensorflow/tensorflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L14"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-191", "CWE-20" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2022-05-24T22:12:26Z",
    "nvd_published_at" : "2022-05-20T23:15:00Z"
  }
}