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Machine Learning Pipelines for Kubeflow
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CVE-2021-37675 (Medium) detected in tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl - autoclosed #354

Closed mend-bolt-for-github[bot] closed 12 months ago

mend-bolt-for-github[bot] commented 3 years ago

CVE-2021-37675 - Medium 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 end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Publish Date: 2021-08-12

URL: CVE-2021-37675

CVSS 3 Score Details (5.5)

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.

Suggested Fix

Type: Upgrade version

Origin: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww

Release Date: 2021-08-12

Fix Resolution: 2.3.4

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mend-bolt-for-github[bot] commented 12 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.