CVE-2022-21726
TensorFlow Dequantize Out-of-Bound Read
Description
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.
INFO
Published Date :
Feb. 3, 2022, 11:15 a.m.
Last Modified :
Feb. 8, 2022, 8:05 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2022-21726 has a 1 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-21726
.
URL | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 | Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
test 反向辣鸡数据投放 CVE-2022-23305 工具 利用 教程 Exploit POC
cve-2020-
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-21726
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-21726
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Feb. 08, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:S/C:P/I:P/A:P) Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153 No Types Assigned https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/dequantize_op.cc#L92-L153 Exploit, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 No Types Assigned https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72 Third Party Advisory Added CWE NIST CWE-125 Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (including) 2.5.2 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.6.0 up to (including) 2.6.2 *cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Feb. 03, 2022
Action Type Old Value New Value Removed CWE GitHub, Inc. CWE-125
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-21726
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-21726
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.29 }} 0.00%
score
0.68630
percentile