Discover the impact of CVE-2021-29562, a TensorFlow vulnerability allowing denial of service. Learn about affected versions & mitigation steps to secure your systems.
TensorFlow is an open-source platform for machine learning. A vulnerability has been identified as a
CHECK
-fail in tf.raw_ops.IRFFT
, allowing an attacker to trigger a denial of service. The affected versions include TensorFlow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2. This CVE has a CVSS base score of 2.5.
Understanding CVE-2021-29562
This section provides insight into the nature of the vulnerability and its impact.
What is CVE-2021-29562?
CVE-2021-29562 refers to a vulnerability in TensorFlow related to a
CHECK
-failure in tf.raw_ops.IRFFT
, enabling a denial of service attack.
The Impact of CVE-2021-29562
The vulnerability could be exploited by an attacker to cause a denial of service. The base score of 2.5 indicates a low severity level.
Technical Details of CVE-2021-29562
This section delves into the technical aspects of the vulnerability.
Vulnerability Description
The vulnerability arises from a
CHECK
-fail in tf.raw_ops.IRFFT
, presenting an opportunity for a denial of service attack.
Affected Systems and Versions
Affected versions of TensorFlow include < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2.
Exploitation Mechanism
An attacker can exploit this vulnerability by triggering a
CHECK
-failure in tf.raw_ops.IRFFT
, leading to a denial of service.
Mitigation and Prevention
In this section, you will find recommendations on addressing the CVE.
Immediate Steps to Take
Update TensorFlow to version 2.5.0 to mitigate the vulnerability. Alternatively, patches are available for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4. Stay informed about security advisories from TensorFlow.
Long-Term Security Practices
Adopt best security practices such as regular software updates, security training for developers, and implementing secure coding standards to prevent similar vulnerabilities in the future.
Patching and Updates
Regularly apply patches and updates provided by TensorFlow to ensure that your systems are protected against known vulnerabilities.