CVE-2022-41894 (High) detected in tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl - autoclosed

[mend-bolt-for-github[bot]]

CVE-2022-41894 - High Severity Vulnerability

Vulnerable Library - tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl

TensorFlow is an open source machine learning framework for everyone.

Library home page: https://files.pythonhosted.org/packages/ec/98/f968caf5f65759e78873b900cbf0ae20b1699fb11268ecc0f892186419a7/tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl

Path to dependency file: /contrib/components/openvino/ovms-deployer/containers/requirements.txt

Path to vulnerable library: /contrib/components/openvino/ovms-deployer/containers/requirements.txt,/samples/core/ai_platform/training

Dependency Hierarchy: - :x: **tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 6f7433f006e282c4f25441e7502b80d73751e38f

Found in base branch: master

Vulnerability Details

TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. 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.

Publish Date: 2022-11-18

URL: CVE-2022-41894

CVSS 3 Score Details (8.1)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: High - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2022-41894

Release Date: 2022-11-18

Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0

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[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[mend-bolt-for-github[bot]]

:heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.