CVE-2017-1002001
"WordPress Mobile-App-Build by Wappress Unauthorized CMS Injection"
Description
Vulnerability in wordpress plugin mobile-app-builder-by-wappress v1.05, The plugin includes unlicensed vulnerable CMS software from http://www.invedion.com.
INFO
Published Date :
Sept. 14, 2017, 1:29 p.m.
Last Modified :
Nov. 21, 2024, 3:04 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2017-1002001 has a 1 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
Affected Products
The following products are affected by CVE-2017-1002001
vulnerability.
Even if cvefeed.io
is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
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-2017-1002001
.
URL | Resource |
---|---|
http://www.vapidlabs.com/advisory.php?v=180 | Exploit Third Party Advisory |
https://wordpress.org/plugins-wp/mobile-app-builder-by-wappress/ | Not Applicable |
https://www.exploit-db.com/exploits/41540/ | Exploit Third Party Advisory VDB Entry |
http://www.vapidlabs.com/advisory.php?v=180 | Exploit Third Party Advisory |
https://wordpress.org/plugins-wp/mobile-app-builder-by-wappress/ | Not Applicable |
https://www.exploit-db.com/exploits/41540/ | Exploit Third Party Advisory VDB Entry |
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).
A number of scripts POC's and problems solved as pentests move along.
python exploit ruby directory bruteforcing poc zen builder
Python Batchfile Ruby PHP PowerShell C# Shell
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-1002001
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-1002001
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]
Sep. 27, 2017
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:P/A:P) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://wordpress.org/plugins-wp/mobile-app-builder-by-wappress/ No Types Assigned https://wordpress.org/plugins-wp/mobile-app-builder-by-wappress/ Not Applicable Changed Reference Type http://www.vapidlabs.com/advisory.php?v=180 No Types Assigned http://www.vapidlabs.com/advisory.php?v=180 Exploit, Third Party Advisory Changed Reference Type https://www.exploit-db.com/exploits/41540/ No Types Assigned https://www.exploit-db.com/exploits/41540/ Exploit, Third Party Advisory, VDB Entry Added CWE CWE-434 Added CPE Configuration OR *cpe:2.3:a:mobile-app-builder-by-wappress_project:mobile-app-builder-by-wappress:1.05:*:*:*:*:wordpress:*:* -
CVE Modified by [email protected]
Sep. 16, 2017
Action Type Old Value New Value Added Reference https://www.exploit-db.com/exploits/41540/ [No Types Assigned]
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-1002001
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-2017-1002001
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
5.61 }} 1.57%
score
0.93376
percentile