Advisory Package Curation

TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite ### Impact The `GatherNd` https://github.com/tensorflow/tensorflow/blob/f463040eb3997e42e60a2ffc6dc72de7ef11dbb4/tensorflow/lite/kernels/gather_nd.cc#L105-L111 function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. ### Patches We have patched the issue in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196 https://github.com/tensorflow/tensorflow/commit/595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult our security guide https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Hui Peng from Baidu Security.

Out-of-bounds Read TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite ### Impact The `GatherNd` https://github.com/tensorflow/tensorflow/blob/f463040eb3997e42e60a2ffc6dc72de7ef11dbb4/tensorflow/lite/kernels/gather_nd.cc#L105-L111 function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. ### Patches We have patched the issue in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196 https://github.com/tensorflow/tensorflow/commit/595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult our security guide https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Hui Peng from Baidu Security.

TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite ### Impact The `GatherNd` https://github.com/tensorflow/tensorflow/blob/f463040eb3997e42e60a2ffc6dc72de7ef11dbb4/tensorflow/lite/kernels/gather_nd.cc#L105-L111 function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. ### Patches We have patched the issue in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196 https://github.com/tensorflow/tensorflow/commit/595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult our security guide https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Hui Peng from Baidu Security.