SB2022051757 - Multiple vulnerabilities in TensorFlow



SB2022051757 - Multiple vulnerabilities in TensorFlow

Published: May 17, 2022 Updated: May 4, 2026

Security Bulletin ID SB2022051757
CSH Severity
Medium
Patch available
YES
Number of vulnerabilities 2
Exploitation vector Remote access
Highest impact Denial of service

Breakdown by Severity

Medium 50% Low 50%
  • Low
  • Medium
  • High
  • Critical

Description

This security bulletin contains information about 2 vulnerabilities.


1) Integer overflow (CVE-ID: CVE-2021-41197)

The vulnerability allows a remote attacker to cause a denial of service.

The vulnerability exists due to an integer overflow in depthwise ops when processing crafted tensor inputs. A remote attacker can supply crafted filter_sizes values to trigger an assertion failure and cause a denial of service.


2) Input validation error (CVE-ID: CVE-2021-41206)

The vulnerability allows a remote user to cause a denial of service.

The vulnerability exists due to improper input validation in tf.sparse.split when processing a non-scalar axis argument. A remote user can supply a tuple or list for the axis parameter to cause a denial of service.

The crash may manifest as a segfault or a heap out-of-bounds read.


Remediation

Install update from vendor's website.