CVE-2021-41226 (High) detected in tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

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CVE-2021-41226 - High Severity Vulnerability

Vulnerable Library - tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

TensorFlow is an open source machine learning framework for everyone.

Library home page: https://files.pythonhosted.org/packages/29/6c/2c9a5c4d095c63c2fb37d20def0e4f92685f7aee9243d6aae25862694fd1/tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

Path to dependency file: /lite/micro/examples/magic_wand/train/requirements.txt

Path to vulnerable library: /lite/micro/examples/magic_wand/train/requirements.txt

Dependency Hierarchy:

• ❌ tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 851130b8e1dc05cfc867340ee6c5497bf6cfa939

Vulnerability Details

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. 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-2021-41226

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: High
  • Integrity Impact: None
  • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-7r94-xv9v-63jw

Release Date: 2021-11-05

Fix Resolution: tensorflow - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-cpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-gpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0