CVE-2023-25669: Tensorflow TensorFlow Has Floating Point Exception Vulnerability

Q: What is CVE-2023-25669?

CVE-2023-25669 is a security vulnerability in Tensorflow involving TensorFlow has Floating Point Exception in AvgPoolGrad with XLA under CWE-697: Incorrect Comparison.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.11.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2023-25669?

Upgrading to 2.11.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.11.1. Upgrade your dependency to 2.11.1 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.11.1. Upgrade your dependency to 2.11.1 or later.

Q: What is the CVSS score of CVE-2023-25669?

CVE-2023-25669 has a CVSS v3.1 base score of 7.5 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2023-25669?

CVE-2023-25669 is classified under CWE-697: Incorrect Comparison (The product compares two entities in a security-relevant context, but the comparison is incorrect.).

Q: How can I check PyPI dependencies for CVE-2023-25669?

Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

HIGH

Advisory Identifier: GHSA-rcf8-g8jv-vg6p

CVSS 7.5

CWE-697

Published 2023-03-24

Advisory Summary

CVE-2023-25669 is a HIGH (CVSS 7.5) tensorflow has floating point exception vulnerability (CWE-697: Incorrect Comparison) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves tensorflow has floating point exception in avgpoolgrad with xla. Remediation is available by upgrading affected packages to version 2.11.1.

CVE-2023-25669 at a Glance

CVE Identifier CVE-2023-25669

GHSA Identifier GHSA-rcf8-g8jv-vg6p

Severity HIGH

CVSS v3.1 Base Score 7.5

CWE Classification CWE-697: Incorrect Comparison

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2023-03-24

Last Updated 2023-03-30

Security Impact

CVSS: 7.5

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

Attack Vector Network (AV:N)

Attack Complexity Low (AC:L)

Privileges Required None (PR:N)

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-2023-25669

To remediate this vulnerability, upgrade all affected Tensorflow 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 fixed: 2.11.1

pip install tensorflow>=2.11.1

tensorflow-cpu fixed: 2.11.1

pip install tensorflow-cpu>=2.11.1

tensorflow-gpu fixed: 2.11.1

pip install tensorflow-gpu>=2.11.1

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

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2023-25669, inspect your installed packages using pip:

pip show tensorflow

Analyze the terminal output to locate any version of Tensorflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.11.1), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-697: Incorrect Comparison, where the product compares two entities in a security-relevant context, but the comparison is incorrect. In Tensorflow, 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 If the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE. ```python import tensorflow as tf import numpy as np @tf.function(jit_compile=True) def test(): y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW") return y print(test()) ``` ### Patches We have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d). The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. ### 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 by r3pwnx of 360 AIVul Team

CVE-2023-25669 Affected Tensorflow Versions

3 component(s)

Fixed Versions:

2.11.1

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	< 2.11.1	2.11.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.11.1	2.11.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.11.1	2.11.1

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p

NVD — CVE-2023-25669 NVD

https://nvd.nist.gov/vuln/detail/CVE-2023-25669

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2023-25669?

CVE-2023-25669 is a security vulnerability in Tensorflow involving TensorFlow has Floating Point Exception in AvgPoolGrad with XLA under CWE-697: Incorrect Comparison.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.11.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2023-25669?

Upgrading to 2.11.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.11.1. Upgrade your dependency to 2.11.1 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.11.1. Upgrade your dependency to 2.11.1 or later.

What is the CVSS score of CVE-2023-25669?

CVE-2023-25669 has a CVSS v3.1 base score of 7.5 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2023-25669?

CVE-2023-25669 is classified under CWE-697: Incorrect Comparison (The product compares two entities in a security-relevant context, but the comparison is incorrect.).

How can I check PyPI dependencies for CVE-2023-25669?

Run the dependency tree command: 'pip show tensorflow'. 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-rcf8-g8jv-vg6p",
  "modified" : "2023-03-30T22:16:24Z",
  "published" : "2023-03-24T21:56:53Z",
  "aliases" : [ "CVE-2023-25669" ],
  "summary" : "TensorFlow has Floating Point Exception in AvgPoolGrad with XLA",
  "details" : "### Impact\nIf the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\n@tf.function(jit_compile=True)\ndef test():\n   y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding=\"SAME\", data_format=\"NCHW\")\n   return y\n\nprint(test())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\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\n### Attribution\nThis vulnerability has been reported by r3pwnx of 360 AIVul Team\n",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.11.1"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-cpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.11.1"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "tensorflow-gpu"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "2.11.1"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-25669"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/tensorflow/tensorflow"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-697" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2023-03-24T21:56:53Z",
    "nvd_published_at" : "2023-03-25T00:15:00Z"
  }
}

CVSS V3

7.5 HIGH