—
PYSEC-2022-111
Quick fix
PYSEC-2022-111 — tensorflow-gpu: upgrade to the fixed version with the command below.
pip install --upgrade 'tensorflow-gpu>=e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e'Details
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.
Are you affected?
Enter the version of the package you're using.
Affected packages
PyPI/tensorflow-gpu
Introduced in:
0Fixed in: e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75eFix
pip install --upgrade 'tensorflow-gpu>=e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e'References
- https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e[FIX]
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq[ADVISORY]
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135[WEB]