Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle
can be used to trigger a denial of service attack by allocating too much memory. This is because the num_threads
argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq