mend-bolt-for-github[bot]
commented
11 months ago :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-2022-29192 - Medium Severity Vulnerability
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
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Publish Date: 2022-05-20
URL: CVE-2022-29192
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Local - Attack Complexity: Low - Privileges Required: Low - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here.Type: Upgrade version
Origin: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29192
Release Date: 2022-05-20
Fix Resolution: 2.6.4
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