Memory exhaustion in Tensorflow
概要
Memory exhaustion in Tensorflow
原文の説明
取得元が公開している説明をそのまま載せています (多くは英語)。
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.
出典: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV
影響パッケージ
参照URL
- advisory github.com
- advisory nvd.nist.gov
- advisory github.com
- patch github.com
- web github.com
- web github.com
- web github.com
- web github.com