Safety vulnerability ID: 44784
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-21732: 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.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
Latest version: 2.16.1
TensorFlow is an open source machine learning framework for everyone.
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. See CVE-2022-21732.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
MISC:https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135: https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
MISC:https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e: https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
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