Closed mend-bolt-for-github[bot] closed 1 year ago
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.
: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.
CVE-2023-25672 - 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 function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25672
CVSS 3 Score Details (7.5)
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here.Suggested Fix
Type: Upgrade version
Origin: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-94mm-g2mv-8p7r
Release Date: 2023-03-24
Fix Resolution: tensorflow - 2.11.1,2.12.0, tensorflow-cpu - 2.11.1,2.12.0, tensorflow-gpu - 2.11.1,2.12.0
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