Closed mend-bolt-for-github[bot] closed 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-2021-41219 - 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. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Publish Date: 2021-11-05
URL: CVE-2021-41219
CVSS 3 Score Details (7.8)
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Local - Attack Complexity: Low - Privileges Required: Low - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - 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-4f99-p9c2-3j8x
Release Date: 2021-11-05
Fix Resolution: 2.4.4
Step up your Open Source Security Game with Mend here