Vulnerabilities > CVE-2021-41214 - Access of Uninitialized Pointer vulnerability in Google Tensorflow
Attack vector
LOCAL Attack complexity
LOW Privileges required
LOW Confidentiality impact
HIGH Integrity impact
HIGH Availability impact
HIGH Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8
- https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vwhq-49r4-gj9v
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vwhq-49r4-gj9v