CVE-2023-25673: Tensorflow TensorFlow Has Floating Point Exception Vulnerability

Q: What is CVE-2023-25673?

CVE-2023-25673 is a security vulnerability in Tensorflow involving TensorFlow has Floating Point Exception in TensorListSplit 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-2023-25673?

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-2023-25673?

CVE-2023-25673 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-2023-25673?

CVE-2023-25673 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-2023-25673?

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-647v-r7qq-24fh

CVSS 7.5

CWE-697

Published 2023-03-24

Advisory Summary

CVE-2023-25673 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 tensorlistsplit with xla. Remediation is available by upgrading affected packages to version 2.11.1.

CVE-2023-25673 at a Glance

CVE Identifier CVE-2023-25673

GHSA Identifier GHSA-647v-r7qq-24fh

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-2023-25673

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-2023-25673, 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 FPE in TensorListSplit with XLA ```python import tensorflow as tf func = tf.raw_ops.TensorListSplit para = {'tensor': [1], 'element_shape': -1, 'lengths': [0]} @tf.function(jit_compile=True) def fuzz_jit(): y = func(**para) return y print(fuzz_jit()) ``` ### Patches We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa). The fix will be included in TensorFlow 2.12.0. 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

CVE-2023-25673 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-647v-r7qq-24fh

NVD — CVE-2023-25673 NVD

https://nvd.nist.gov/vuln/detail/CVE-2023-25673

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2023-25673?

CVE-2023-25673 is a security vulnerability in Tensorflow involving TensorFlow has Floating Point Exception in TensorListSplit 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-2023-25673?

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-2023-25673?

CVE-2023-25673 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-2023-25673?

CVE-2023-25673 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-2023-25673?

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-647v-r7qq-24fh",
  "modified" : "2023-03-30T16:59:44Z",
  "published" : "2023-03-24T21:54:42Z",
  "aliases" : [ "CVE-2023-25673" ],
  "summary" : "TensorFlow has Floating Point Exception in TensorListSplit with XLA ",
  "details" : "### Impact\nFPE in TensorListSplit with XLA \n```python\nimport tensorflow as tf\n\nfunc = tf.raw_ops.TensorListSplit\npara = {'tensor': [1], 'element_shape': -1, 'lengths': [0]}\n\n@tf.function(jit_compile=True)\ndef fuzz_jit():\n y = func(**para)\n return y\n\nprint(fuzz_jit())\n```\n\n### Patches\nWe have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa).\n\nThe fix will be included in TensorFlow 2.12.0. 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",
  "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-647v-r7qq-24fh"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-25673"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/tensorflow/tensorflow"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-697" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2023-03-24T21:54:42Z",
    "nvd_published_at" : "2023-03-25T00:15:00Z"
  }
}

CVSS V3

7.5 HIGH