CVE-2022-23590: Tensorflow Crash Due To Erroneous `StatusOr` Vulnerability

Q: What is CVE-2022-23590?

CVE-2022-23590 is a security vulnerability in Tensorflow involving Crash due to erroneous `StatusOr` in TensorFlow under CWE-754: Improper Check for Unusual or Exceptional Conditions.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.7.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2022-23590?

Upgrading to 2.7.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.7.1. Upgrade your dependency to 2.7.1 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.7.1. Upgrade your dependency to 2.7.1 or later.

Q: What is the CVSS score of CVE-2022-23590?

CVE-2022-23590 has a CVSS v3.1 base score of 5.9 (MODERATE) with vector string CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2022-23590?

CVE-2022-23590 is classified under CWE-754: Improper Check for Unusual or Exceptional Conditions (The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.).

Q: How can I check PyPI dependencies for CVE-2022-23590?

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.

MODERATE

Advisory Identifier: GHSA-pqrv-8r2f-7278

CVSS 5.9

CWE-754

Published 2022-02-09

Advisory Summary

CVE-2022-23590 is a MODERATE (CVSS 5.9) crash due to erroneous `statusor` vulnerability (CWE-754: Improper Check for Unusual or Exceptional Conditions) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves crash due to erroneous `statusor` in tensorflow. Remediation is available by upgrading affected packages to version 2.7.1.

CVE-2022-23590 at a Glance

CVE Identifier CVE-2022-23590

GHSA Identifier GHSA-pqrv-8r2f-7278

Severity MODERATE

CVSS v3.1 Base Score 5.9

CWE Classification CWE-754: Improper Check for Unusual or Exceptional Conditions

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2022-02-09

Last Updated 2024-11-07

Security Impact

CVSS: 5.9

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

Attack Vector Network (AV:N)

Attack Complexity High (AC:H)

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-2022-23590

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: 2.7.1

pip install tensorflow>=2.7.1

tensorflow-cpu fixed: 2.7.1

pip install tensorflow-cpu>=2.7.1

tensorflow-gpu fixed: 2.7.1

pip install tensorflow-gpu>=2.7.1

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-2022-23590, 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 2.7.1), 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-754: Improper Check for Unusual or Exceptional Conditions, where the product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product. 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 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](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567): ```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](https://github.com/tensorflow/tensorflow/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](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.

CVE-2022-23590 Affected Tensorflow Versions

3 component(s)

Fixed Versions:

2.7.1

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	< 2.7.1	2.7.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.7.1	2.7.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.7.1	2.7.1

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278

NVD — CVE-2022-23590 NVD

https://nvd.nist.gov/vuln/detail/CVE-2022-23590

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-99.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-154.yaml

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567

Frequently Asked Questions

What is CVE-2022-23590?

CVE-2022-23590 is a security vulnerability in Tensorflow involving Crash due to erroneous `StatusOr` in TensorFlow under CWE-754: Improper Check for Unusual or Exceptional Conditions.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.7.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2022-23590?

Upgrading to 2.7.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.7.1. Upgrade your dependency to 2.7.1 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.7.1. Upgrade your dependency to 2.7.1 or later.

What is the CVSS score of CVE-2022-23590?

CVE-2022-23590 has a CVSS v3.1 base score of 5.9 (MODERATE) with vector string CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2022-23590?

CVE-2022-23590 is classified under CWE-754: Improper Check for Unusual or Exceptional Conditions (The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.).

How can I check PyPI dependencies for CVE-2022-23590?

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

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CVSS V3

5.9 MODERATE

Attack Vector Network (AV:N)

Attack Complexity High (AC:H)

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)

Vector String

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Advisory Metadata

Source ID: GHSA-pqrv-8r2f-7278
Schema Version: 1.4.0
Published: 2022-02-09 23:29
Last Modified: 2024-11-07 22:32
Database Record File: advisories/github-reviewed/2022/02/GHSA-pqrv-8r2f-7278/GHSA-pqrv-8r2f-7278.json