TensorFlow is an open source platform for machine learning. When the BaseCandidateSamplerOp function receives a value in trueclasses larger than rangemax, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal poolingratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

Impact TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format.

python from tensorflow.keras import models

payload = ''' !!python/object/new:type args: ['z', !!python/tuple [], {'extend': !!python/name:exec }] listitems: "import('os').system('cat /etc/passwd')" ''' models.modelfromyaml(payload) The implementation uses yaml.unsafeload which can perform arbitrary code execution on the input.

Patches Given that YAML format support requires a significant amount of work, we have removed it for now.

We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution This vulnerability has been reported by Arjun Shibu.