CVE-2021-29618: 
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-2021-29618. The vulnerability was discovered when passing a complex argument to tf.transpose function simultaneously with the conjugate=True parameter, which results in a system crash. The issue was reported on March 30, 2021, and affects multiple versions of TensorFlow prior to version 2.5.0 (GitHub Advisory).

The vulnerability occurs specifically in the transpose functionality of TensorFlow when handling complex inputs. The issue manifests when attempting to use the tf.transpose function with both a complex argument and the conjugate=True parameter, leading to a crash in the application. The vulnerability affects TensorFlow versions below 2.5.0, including versions 2.4.x, 2.3.x, 2.2.x, and 2.1.x that were still in the supported range (CVE Mitre).

The impact of this vulnerability is considered Low severity. When exploited, it results in a crash of the TensorFlow application, potentially causing service interruption for systems utilizing the affected transpose functionality (GitHub Advisory).

The fix for this vulnerability was implemented in TensorFlow 2.5.0. Additionally, the patch was backported to earlier supported versions: TensorFlow 2.4.2, 2.3.3, 2.2.3, and 2.1.4. Users are advised to upgrade to these patched versions to resolve the vulnerability. The fix was implemented through GitHub commit 1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88 (GitHub Advisory).