CVE-2023-25671: Tensorflow TensorFlow Has Segmentation Fault Vulnerability

HIGH
Advisory Identifier: GHSA-j5w9-hmfh-4cr6
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CVSS 7.5
CWE-787
Published
Advisory Summary

CVE-2023-25671 is a HIGH (CVSS 7.5) tensorflow has segmentation fault vulnerability (CWE-787: Out-of-bounds Write) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves tensorflow has segmentation fault in tfg-translate. Remediation is available by upgrading affected packages to version 2.11.1.

CVE-2023-25671 at a Glance

CVE Identifier CVE-2023-25671
GHSA Identifier GHSA-j5w9-hmfh-4cr6
Severity HIGH
CVSS v3.1 Base Score 7.5
CWE Classification CWE-787: Out-of-bounds Write
Affected Product Tensorflow
Package Ecosystem PyPI
Published Date
Last Updated

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-2023-25671

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
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-2023-25671, 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-787: Out-of-bounds Write, where the product writes data past the end, or before the beginning, of the intended buffer. 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 Out-of-bounds access due to mismatched integer type sizes in ValueMap::Manager::GetValueOrCreatePlaceholder. Bug with tfg-translate call to InitMlir. The problem happens with generic functions, as it is already handled for non-generic functions. This is because they, unlike non-generic functions, are using the "old importer". A better long-term solution may be to have the "new importer" handle generic functions. ### Patches We have patched the issue in GitHub - commit [760322a71ac9033e122ef1f4b1c62813021e5938](https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938). - commit [2eedc8f676d2c3b8be9492e547b2bc814c10b367](https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367) 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 ### Affiliation 360 AIVul

CVE-2023-25671 Affected Tensorflow Versions

2 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

References

GitHub Advisory / Wiki ADVISORY
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j5w9-hmfh-4cr6
NVD — CVE-2023-25671 NVD
https://nvd.nist.gov/vuln/detail/CVE-2023-25671
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367
Security Fix Commit FIX COMMIT
https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938
Tensorflow Source Repository REPOSITORY
https://github.com/tensorflow/tensorflow

Frequently Asked Questions

What is CVE-2023-25671?
CVE-2023-25671 is a security vulnerability in Tensorflow involving TensorFlow has segmentation fault in tfg-translate under CWE-787: Out-of-bounds Write.
Which Tensorflow versions are affected?
Affected versions include releases prior to 2.11.1 across affected packages: tensorflow, tensorflow-cpu.
What version fixes CVE-2023-25671?
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-2023-25671?
CVE-2023-25671 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-2023-25671?
CVE-2023-25671 is classified under CWE-787: Out-of-bounds Write (The product writes data past the end, or before the beginning, of the intended buffer.).
How can I check PyPI dependencies for CVE-2023-25671?
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-j5w9-hmfh-4cr6",
  "modified" : "2023-03-31T16:06:04Z",
  "published" : "2023-03-24T21:55:07Z",
  "aliases" : [ "CVE-2023-25671" ],
  "summary" : "TensorFlow has segmentation fault in tfg-translate ",
  "details" : "### Impact\nOut-of-bounds access due to mismatched integer type sizes in ValueMap::Manager::GetValueOrCreatePlaceholder. Bug with tfg-translate call to InitMlir. The problem happens with generic functions, as it is already handled for non-generic functions. This is because they, unlike non-generic functions, are using the \"old importer\". A better long-term solution may be to have the \"new importer\" handle generic functions.\n\n### Patches\nWe have patched the issue in GitHub\n- commit [760322a71ac9033e122ef1f4b1c62813021e5938](https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938).\n- commit [2eedc8f676d2c3b8be9492e547b2bc814c10b367](https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367)\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\n\n### Affiliation\n360 AIVul\n\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" : [ {
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    "ranges" : [ {
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  "references" : [ {
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    "type" : "ADVISORY",
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    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367"
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    "type" : "WEB",
    "url" : "https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/tensorflow/tensorflow"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-787" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2023-03-24T21:55:07Z",
    "nvd_published_at" : "2023-03-25T00:15:00Z"
  }
}