Google TensorFlow, an end-to-end open source machine learning platform, is vulnerable to a divide by zero error in versions prior to Google TensorFlow 2.6.0. An attacker could exploit the vulnerability through a specially crafted parameter call in-place to cause a floating point exception, which could lead to a divide by zero error.