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Machine Learning Pipelines for Kubeflow
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CVE-2021-37643 (High) detected in tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl - autoclosed #314

Closed mend-bolt-for-github[bot] closed 10 months ago

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

CVE-2021-37643 - 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 end-to-end open source platform for machine learning. If a user does not provide a valid padding value to `tf.raw_ops.MatrixDiagPartOp`, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. 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-2021-37643

CVSS 3 Score Details (7.1)

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: High - 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-fcwc-p4fc-c5cc

Release Date: 2021-08-12

Fix Resolution: 2.3.4

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mend-bolt-for-github[bot] commented 10 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.