CVE-2022-23590
Tensorflow SavedModel GraphDef Crash Vulnerability
Description
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
INFO
Published Date :
Feb. 4, 2022, 11:15 p.m.
Last Modified :
Feb. 17, 2022, 2:11 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2022-23590 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-2022-23590
.
URL | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278 | Patch 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-2022-23590
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-23590
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 -
Reanalysis by [email protected]
Feb. 17, 2022
Action Type Old Value New Value Changed CPE Configuration OR *cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:* OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.7.1 -
Initial Analysis by [email protected]
Feb. 10, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:N/I:N/A:P) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567 No Types Assigned https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567 Exploit, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439 No Types Assigned https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278 Patch, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-23590
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-2022-23590
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.19 }} 0.03%
score
0.57419
percentile