CVE-2022-41895: Tensorflow cpu `MirrorPadGrad` Heap Out Of Bounds Vulnerability

MODERATE
Advisory Identifier: GHSA-gq2j-cr96-gvqx
CVSS 4.8
CWE-125
Published
Advisory Summary

CVE-2022-41895 is a MODERATE (CVSS 4.8) `mirrorpadgrad` heap out of bounds vulnerability (CWE-125: Out-of-bounds Read) affecting Tensorflow cpu libraries in the PyPI ecosystem. The issue involves `mirrorpadgrad` heap out of bounds read. Remediation is available by upgrading affected packages to version 2.10.1, 2.8.4, 2.9.3.

CVE-2022-41895 at a Glance

CVE Identifier CVE-2022-41895
GHSA Identifier GHSA-gq2j-cr96-gvqx
Severity MODERATE
CVSS v3.1 Base Score 4.8
CWE Classification CWE-125: Out-of-bounds Read
Affected Product Tensorflow cpu
Package Ecosystem PyPI
Published Date
Last Updated

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-2022-41895

To remediate this vulnerability, upgrade all affected Tensorflow cpu 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-cpu fixed: 2.10.1
pip install tensorflow-cpu>=2.10.1
tensorflow-gpu fixed: 2.10.1
pip install tensorflow-gpu>=2.10.1
tensorflow fixed: 2.10.1
pip install tensorflow>=2.10.1
tensorflow fixed: 2.8.4
pip install tensorflow>=2.8.4
tensorflow fixed: 2.9.3
pip install tensorflow>=2.9.3
tensorflow-cpu fixed: 2.8.4
pip install tensorflow-cpu>=2.8.4
tensorflow-gpu fixed: 2.8.4
pip install tensorflow-gpu>=2.8.4
tensorflow-cpu fixed: 2.9.3
pip install tensorflow-cpu>=2.9.3
tensorflow-gpu fixed: 2.9.3
pip install tensorflow-gpu>=2.9.3
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-cpu

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2022-41895, inspect your installed packages using pip:

pip show tensorflow-cpu

Analyze the terminal output to locate any version of Tensorflow cpu in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.10.1), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-125: Out-of-bounds Read, where the product reads data past the end, or before the beginning, of the intended buffer. In Tensorflow cpu, 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 [`MirrorPadGrad`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc) is given outsize input `paddings`, TensorFlow will give a heap OOB error. ```python import tensorflow as tf tf.raw_ops.MirrorPadGrad(input=[1], paddings=[[0x77f00000,0xa000000]], mode = 'REFLECT') ``` ### Patches We have patched the issue in GitHub commit [717ca98d8c3bba348ff62281fdf38dcb5ea1ec92](https://github.com/tensorflow/tensorflow/commit/717ca98d8c3bba348ff62281fdf38dcb5ea1ec92). 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 Vul AI.

CVE-2022-41895 Affected Tensorflow cpu Versions

9 component(s)
Fixed Versions:
2.10.12.8.42.9.3
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow-cpu
PyPI
≥ 2.10.0
< 2.10.1
2.10.1
tensorflow-gpu
PyPI
≥ 2.10.0
< 2.10.1
2.10.1
tensorflow
PyPI
≥ 2.10.0
< 2.10.1
2.10.1
tensorflow
PyPI
< 2.8.4
2.8.4
tensorflow
PyPI
≥ 2.9.0
< 2.9.3
2.9.3
tensorflow-cpu
PyPI
< 2.8.4
2.8.4
tensorflow-gpu
PyPI
< 2.8.4
2.8.4
tensorflow-cpu
PyPI
≥ 2.9.0
< 2.9.3
2.9.3
tensorflow-gpu
PyPI
≥ 2.9.0
< 2.9.3
2.9.3

References

Frequently Asked Questions

What is CVE-2022-41895?
CVE-2022-41895 is a security vulnerability in Tensorflow cpu involving `MirrorPadGrad` heap out of bounds read under CWE-125: Out-of-bounds Read.
Which Tensorflow cpu versions are affected?
Affected versions include releases prior to 2.10.1, 2.8.4, 2.9.3 across affected packages: tensorflow-cpu, tensorflow-gpu, tensorflow.
What version fixes CVE-2022-41895?
Upgrading to 2.10.1, 2.8.4, 2.9.3 (or the latest patched release for your respective branch) resolves the vulnerability.
Is tensorflow-cpu affected?
Yes, tensorflow-cpu is affected in releases prior to 2.10.1, 2.8.4, 2.9.3. Upgrade your dependency to 2.10.1, 2.8.4, 2.9.3 or later.
Is tensorflow-gpu affected?
Yes, tensorflow-gpu is affected in releases prior to 2.10.1, 2.8.4, 2.9.3. Upgrade your dependency to 2.10.1, 2.8.4, 2.9.3 or later.
What is the CVSS score of CVE-2022-41895?
CVE-2022-41895 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-2022-41895?
CVE-2022-41895 is classified under CWE-125: Out-of-bounds Read (The product reads data past the end, or before the beginning, of the intended buffer.).
How can I check PyPI dependencies for CVE-2022-41895?
Run the dependency tree command: 'pip show tensorflow-cpu'. 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
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