Closed mend-bolt-for-github[bot] closed 3 years ago
:heavy_check_mark: This issue was automatically closed by WhiteSource because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the WhiteSource inventory.
:heavy_check_mark: This issue was automatically closed by WhiteSource because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the WhiteSource inventory.
:heavy_check_mark: This issue was automatically closed by WhiteSource because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the WhiteSource inventory.
CVE-2021-37649 - High Severity Vulnerability
Vulnerable Library - tensorflow-1.15.0-cp37-cp37m-manylinux2010_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/92/2b/e3af15221da9ff323521565fa3324b0d7c7c5b1d7a8ca66984c8d59cb0ce/tensorflow-1.15.0-cp37-cp37m-manylinux2010_x86_64.whl
Path to dependency file: Raindrop-Removal-With-Light-Field-Image-Using-Image-Inpainting/requirements.txt
Path to vulnerable library: Raindrop-Removal-With-Light-Field-Image-Using-Image-Inpainting/requirements.txt
Dependency Hierarchy: - :x: **tensorflow-1.15.0-cp37-cp37m-manylinux2010_x86_64.whl** (Vulnerable Library)
Found in base branch: main
Vulnerability Details
TensorFlow is an end-to-end open source platform for machine learning. The code for `tf.raw_ops.UncompressElement` can be made to trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/compression_ops.cc#L50-L53) obtains a pointer to a `CompressedElement` from a `Variant` tensor and then proceeds to dereference it for decompressing. There is no check that the `Variant` tensor contained a `CompressedElement`, so the pointer is actually `nullptr`. We have patched the issue in GitHub commit 7bdf50bb4f5c54a4997c379092888546c97c3ebd. 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-2021-37649
CVSS 3 Score Details (7.7)
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Local - Attack Complexity: Low - Privileges Required: None - 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-6gv8-p3vj-pxvr
Release Date: 2021-08-12
Fix Resolution: tensorflow - 2.3.4, 2.4.3, 2.5.1, 2.6.0, tensorflow-cpu - 2.3.4, 2.4.3, 2.5.1, 2.6.0, tensorflow-gpu - 2.3.4, 2.4.3, 2.5.1, 2.6.0
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