Out-of-bounds Read in Google Tensorflow
CVE-2022-21726
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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.
Vulnerability class: Buffer Overflow
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H.
EPSS exploit prediction
EPSS: 0.008 (55.8th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 56th percentile — 55.8% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.008 · newest: 0.008 · change: +0.000
Affected products
- Google Tensorflow — versions 2.7.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 (Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/… (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-21726?
- CVE-2022-21726 is a high-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 8.1/10. Published 2022-02-03.
- How severe is CVE-2022-21726?
- High severity. CVSS v3 base score is 8.1 out of 10.