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Machine Learning Pipelines for Kubeflow
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CVE-2021-37644 (Medium) detected in tensorflow-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl - autoclosed #315

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

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

CVE-2021-37644 - 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 providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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-2021-37644

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-27j5-4p9v-pp67

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.