CVE-2022-21732

MEDIUM4.3EPSS 0.22%

Memory exhaustion in Tensorflow

發布日:2022/2/10修改日:2025/5/20

描述

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.

受影響套件(6)

Bitnami/tensorflowfrom 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
PyPI/tensorflowfrom 0, < 2.5.3
PyPI/tensorflow-cpufrom 0, < 2.5.3
PyPI/tensorflow-cpufrom 0, < e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
PyPI/tensorflow-gpufrom 0, < 2.5.3
PyPI/tensorflow-gpufrom 0, < e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS 分數

來源	版本	嚴重程度	向量
osv	CVSS 4.0	—	CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
osv	CVSS 3.1	MEDIUM4.3	CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

描述

受影響套件(6)

CVSS 分數

參考連結(7)