CVE-2022-41885: Tensorflow Overflow Vulnerability

Q: What is CVE-2022-41885?

CVE-2022-41885 is a security vulnerability in Tensorflow involving Overflow in `FusedResizeAndPadConv2D` under CWE-131: Incorrect Calculation of Buffer Size.

Q: Which Tensorflow versions are affected?

Affected versions include releases prior to 2.7.4, 2.8.1, 2.9.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

Q: What version fixes CVE-2022-41885?

Upgrading to 2.7.4, 2.8.1, 2.9.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Q: Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.7.4, 2.8.1, 2.9.1. Upgrade your dependency to 2.7.4, 2.8.1, 2.9.1 or later.

Q: Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.7.4, 2.8.1, 2.9.1. Upgrade your dependency to 2.7.4, 2.8.1, 2.9.1 or later.

Q: What is the CVSS score of CVE-2022-41885?

CVE-2022-41885 has a CVSS v3.1 base score of 4.8 (MODERATE) with vector string CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H.

Q: What CWE is associated with CVE-2022-41885?

CVE-2022-41885 is classified under CWE-131: Incorrect Calculation of Buffer Size (The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.).

Q: How can I check PyPI dependencies for CVE-2022-41885?

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-762h-vpvw-3rcx

CVSS 4.8

CWE-131

Published 2022-11-21

Advisory Summary

CVE-2022-41885 is a MODERATE (CVSS 4.8) overflow vulnerability (CWE-131: Incorrect Calculation of Buffer Size) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves overflow in `fusedresizeandpadconv2d`. Remediation is available by upgrading affected packages to version 2.7.4, 2.8.1, 2.9.1.

CVE-2022-41885 at a Glance

CVE Identifier CVE-2022-41885

GHSA Identifier GHSA-762h-vpvw-3rcx

Severity MODERATE

CVSS v3.1 Base Score 4.8

CWE Classification CWE-131: Incorrect Calculation of Buffer Size

Affected Product Tensorflow

Package Ecosystem PyPI

Published Date 2022-11-21

Last Updated 2022-11-21

Security Impact

CVSS: 4.8

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

Attack Vector Network (AV:N)

Attack Complexity High (AC:H)

Privileges Required Low (PR:L)

User Interaction Required (UI:R)

Scope Unchanged (S:U)

Confidentiality None (C:N)

Integrity None (I:N)

Availability High (A:H)

How to Fix CVE-2022-41885

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: 2.7.4

pip install tensorflow>=2.7.4

tensorflow fixed: 2.8.1

pip install tensorflow>=2.8.1

tensorflow fixed: 2.9.1

pip install tensorflow>=2.9.1

tensorflow-cpu fixed: 2.7.4

pip install tensorflow-cpu>=2.7.4

tensorflow-gpu fixed: 2.7.4

pip install tensorflow-gpu>=2.7.4

tensorflow-cpu fixed: 2.8.1

pip install tensorflow-cpu>=2.8.1

tensorflow-gpu fixed: 2.8.1

pip install tensorflow-gpu>=2.8.1

tensorflow-cpu fixed: 2.9.1

pip install tensorflow-cpu>=2.9.1

tensorflow-gpu fixed: 2.9.1

pip install tensorflow-gpu>=2.9.1

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-2022-41885, 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 2.7.4), 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-131: Incorrect Calculation of Buffer Size, where the product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow. 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 When [`tf.raw_ops.FusedResizeAndPadConv2D`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc) is given a large tensor shape, it overflows. ```python import tensorflow as tf mode = "REFLECT" strides = [1, 1, 1, 1] padding = "SAME" resize_align_corners = False input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16) size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32) paddings = tf.constant([3,4], shape=[2], dtype=tf.int32) filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16) tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners) ``` ### Patches We have patched the issue in GitHub commit [d66e1d568275e6a2947de97dca7a102a211e01ce](https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 by Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.

CVE-2022-41885 Affected Tensorflow Versions

9 component(s)

Fixed Versions:

2.7.42.8.12.9.1

Product / Package	Ecosystem	Affected Versions	Fixed Version
tensorflow pypi/tensorflow	PyPI	< 2.7.4	2.7.4
tensorflow pypi/tensorflow	PyPI	≥ 2.8.0 < 2.8.1	2.8.1
tensorflow pypi/tensorflow	PyPI	≥ 2.9.0 < 2.9.1	2.9.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	< 2.7.4	2.7.4
tensorflow-gpu pypi/tensorflow-gpu	PyPI	< 2.7.4	2.7.4
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.8.0 < 2.8.1	2.8.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.8.0 < 2.8.1	2.8.1
tensorflow-cpu pypi/tensorflow-cpu	PyPI	≥ 2.9.0 < 2.9.1	2.9.1
tensorflow-gpu pypi/tensorflow-gpu	PyPI	≥ 2.9.0 < 2.9.1	2.9.1

References

GitHub Advisory / Wiki ADVISORY

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-762h-vpvw-3rcx

NVD — CVE-2022-41885 NVD

https://nvd.nist.gov/vuln/detail/CVE-2022-41885

Security Fix Commit FIX COMMIT

https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow

Tensorflow Source Repository REPOSITORY

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc

Frequently Asked Questions

What is CVE-2022-41885?

CVE-2022-41885 is a security vulnerability in Tensorflow involving Overflow in `FusedResizeAndPadConv2D` under CWE-131: Incorrect Calculation of Buffer Size.

Which Tensorflow versions are affected?

Affected versions include releases prior to 2.7.4, 2.8.1, 2.9.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.

What version fixes CVE-2022-41885?

Upgrading to 2.7.4, 2.8.1, 2.9.1 (or the latest patched release for your respective branch) resolves the vulnerability.

Is tensorflow affected?

Yes, tensorflow is affected in releases prior to 2.7.4, 2.8.1, 2.9.1. Upgrade your dependency to 2.7.4, 2.8.1, 2.9.1 or later.

Is tensorflow-cpu affected?

Yes, tensorflow-cpu is affected in releases prior to 2.7.4, 2.8.1, 2.9.1. Upgrade your dependency to 2.7.4, 2.8.1, 2.9.1 or later.

What is the CVSS score of CVE-2022-41885?

CVE-2022-41885 has a CVSS v3.1 base score of 4.8 (MODERATE) with vector string CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H.

What CWE is associated with CVE-2022-41885?

CVE-2022-41885 is classified under CWE-131: Incorrect Calculation of Buffer Size (The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.).

How can I check PyPI dependencies for CVE-2022-41885?

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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  "aliases" : [ "CVE-2022-41885" ],
  "summary" : "Overflow in `FusedResizeAndPadConv2D`",
  "details" : "### Impact\nWhen [`tf.raw_ops.FusedResizeAndPadConv2D`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc) is given a large tensor shape, it overflows.\n```python\nimport tensorflow as tf\n\nmode = \"REFLECT\"\nstrides = [1, 1, 1, 1]\npadding = \"SAME\"\nresize_align_corners = False\ninput = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16)\nsize = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32)\npaddings = tf.constant([3,4], shape=[2], dtype=tf.int32)\nfilter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16)\ntf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [d66e1d568275e6a2947de97dca7a102a211e01ce](https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce).\n\nThe fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.\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 Neophytos Christou from the Secure Systems Lab (SSL) at Brown University.\n",
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}

CVSS V3

4.8 MODERATE