GHSA-2p9q-h29j-3f5v Missing validation causes `TensorSummaryV2` to crash

• PyPI tensorflow: < 2.6.4 → fixed in 2.6.4 • PyPI tensorflow: >= 2.7.0, < 2.7.2 → fixed in 2.7.2 • PyPI tensorflow: >= 2.8.0, < 2.8.1 → fixed in 2.8.1 • PyPI tensorflow-cpu: < 2.6.4 → fixed in 2.6.4 • PyPI tensorflow-cpu: >= 2.7.0, < 2.7.2 → fixed in 2.7.2 • PyPI tensorflow-cpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1 • PyPI tensorflow-gpu: < 2.6.4 → fixed in 2.6.4 • PyPI tensorflow-gpu: >= 2.7.0, < 2.7.2 → fixed in 2.7.2 • PyPI tensorflow-gpu: >= 2.8.0, < 2.8.1 → fixed in 2.8.1

Impact The implementation of `tf.raw_ops.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import numpy as np import tensorflow as tf tf.raw_ops.TensorSummaryV2( tag=np.array('test'), tensor=np.array(3), serialized_summary_metadata=tf.io.encode_base64(np.empty((0)))) ``` The code assumes `axis` is a scalar but there is no validation for this. ```cc const Tensor& serialized_summary_metadata_tensor = c->input(2); // ... ParseFromTString(serialized_summary_metadata_tensor.scalar()(), v->mutable_metadata()); ``` Patches We have patched the issue in GitHub commit 290bb05c80c327ed74fae1d089f1001b1e2a4ef7. The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University and Hong Jin from Singapore Management University.