CVE-2021-29563: 
Python vulnerability analysis and mitigation

TensorFlow, an end-to-end open source platform for machine learning, was found to contain a vulnerability identified as CVE-2021-29563. The vulnerability was discovered in May 2021 and affects multiple versions of TensorFlow up to version 2.5.0. The issue involves a denial of service condition that can be triggered through the implementation of tf.raw_ops.RFFT operation (GitHub Advisory, NVD).

The vulnerability stems from a CHECK-failure in the implementation of tf.raw_ops.RFFT. When Eigen code operates on an empty matrix, it can trigger an assertion that causes program termination. The vulnerability has been assigned a CVSS v3.1 base score of 5.5 (MEDIUM) by NVD and 2.5 (LOW) by GitHub, with a vector string of CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H (NVD).

The primary impact of this vulnerability is denial of service. When exploited, the vulnerability causes program termination through an assertion failure, effectively disrupting the normal operation of the affected TensorFlow application (GitHub Advisory).

The vulnerability was patched in multiple versions of TensorFlow. The fix was included in TensorFlow 2.5.0 and was backported to versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4. Users are advised to upgrade to these patched versions to mitigate the vulnerability (GitHub Advisory).