SB2022072610 - Multiple vulnerabilities in TensorFlow

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Main Vulnerability Database SB2022072610

SB2022072610 - Multiple vulnerabilities in TensorFlow

Published: July 26, 2022

Security Bulletin ID SB2022072610
Severity
Low
Patch available
YES
Number of vulnerabilities 3
Exploitation vector Local access
Highest impact Denial of service

Breakdown by Severity

Low 100%
  • Low
  • Medium
  • High
  • Critical

Description

This security bulletin contains information about 3 secuirty vulnerabilities.


1) Input validation error (CVE-ID: CVE-2022-29191)

The vulnerability allows a local user to perform a denial of service (DoS) attack.

The vulnerability exists due to insufficient validation of user-supplied input within the "GetSessionTensor". A local user can pass specially crafted input to the application and perform a denial of service (DoS) attack.


2) Out-of-bounds write (CVE-ID: CVE-2022-29208)

The vulnerability allows a local user to compromise vulnerable system.

The vulnerability exists due to a boundary error when processing untrusted input in "EditDistance". A local user can trigger out-of-bounds write and perform a denial of service (DoS) attack.


3) Input validation error (CVE-ID: CVE-2022-29213)

The vulnerability allows a local user to perform a denial of service (DoS) attack.

The vulnerability exists due to insufficient validation of user-supplied input in "tf.compat.v1.signal.rfft2d" and "tf.compat.v1.signal.rfft3d". A local user can pass specially crafted input to the application and perform a denial of service (DoS) attack.


Remediation

Install update from vendor's website.

References