CVE-2022-36201
"Doctor's Appointment System Blind SQL Injection"
Description
Doctor’s Appointment System v1.0 is vulnerable to Blind SQLi via settings.php.
INFO
Published Date :
Aug. 31, 2022, 9:15 p.m.
Last Modified :
Oct. 1, 2022, 2:29 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2022-36201 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-2022-36201
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-2022-36201.
| URL | Resource |
|---|---|
| http://packetstormsecurity.com/files/168212/Doctors-Appointment-System-1.0-SQL-Injection.html | Exploit Third Party Advisory VDB Entry |
| https://github.com/aznull/CVEs | Third Party Advisory |
| https://www.sourcecodester.com/hashenudara/simple-doctors-appointment-project.html | Product |
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 list of my CVEs
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-36201 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-36201 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 -
Modified Analysis by [email protected]
Oct. 01, 2022
Action Type Old Value New Value -
CVE Modified by [email protected]
Sep. 16, 2022
Action Type Old Value New Value Changed Description Doctor's Appointment System 1.0 is vulnerable to SQL Injection via booking.php has ?id=. Doctor’s Appointment System v1.0 is vulnerable to Blind SQLi via settings.php. -
Initial Analysis by [email protected]
Sep. 06, 2022
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type http://packetstormsecurity.com/files/168212/Doctors-Appointment-System-1.0-SQL-Injection.html No Types Assigned http://packetstormsecurity.com/files/168212/Doctors-Appointment-System-1.0-SQL-Injection.html Exploit, Third Party Advisory, VDB Entry Changed Reference Type https://github.com/aznull/CVEs No Types Assigned https://github.com/aznull/CVEs Third Party Advisory Changed Reference Type https://www.sourcecodester.com/hashenudara/simple-doctors-appointment-project.html No Types Assigned https://www.sourcecodester.com/hashenudara/simple-doctors-appointment-project.html Product Added CWE NIST CWE-89 Added CPE Configuration OR *cpe:2.3:a:doctor\'s_appointment_system_project:doctor\'s_appointment_system:1.0:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Sep. 01, 2022
Action Type Old Value New Value Added Reference http://packetstormsecurity.com/files/168212/Doctors-Appointment-System-1.0-SQL-Injection.html [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-2022-36201 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-2022-36201
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
1.50 }} 0.44%
score
0.87136
percentile