CVE-2022-21732Allocation of Resources Without Limits or Throttling in Intel Optimization FOR Tensorflow

Severity
6.5MEDIUMNVD
CNA4.3
EPSS
0.2%
top 55.32%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedFeb 3
Latest updateFeb 10

Description

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.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitability: 2.8 | Impact: 3.6

Affected Packages2 packages

PyPIintel/optimization_for_tensorflow2.6.02.6.3+2
NVDgoogle/tensorflow2.6.02.6.2+2

Patches

🔴Vulnerability Details

4
GHSA
Memory exhaustion in Tensorflow2022-02-10
OSV
Memory exhaustion in Tensorflow2022-02-10
CVEList
Memory exhaustion in Tensorflow2022-02-03
OSV
CVE-2022-21732: Tensorflow is an Open Source Machine Learning Framework2022-02-03

📋Vendor Advisories

1
Debian
CVE-2022-21732: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of `...2022
CVE-2022-21732 — Intel vulnerability | cvebase