CVE-2022-2667
SourceCodester Loan Management System SQL Injection Vulnerability
Description
A vulnerability was found in SourceCodester Loan Management System and classified as critical. This issue affects some unknown processing of the file delete_lplan.php. The manipulation of the argument lplan_id leads to sql injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-205619.
INFO
Published Date :
Aug. 5, 2022, 11:15 a.m.
Last Modified :
Nov. 26, 2024, 8:29 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2022-2667 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-2022-2667
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-2022-2667
.
URL | Resource |
---|---|
https://github.com/cxaqhq/Loan-Management-System-Sqlinjection | Exploit Third Party Advisory |
https://vuldb.com/?id.205619 | Third Party Advisory |
https://github.com/cxaqhq/Loan-Management-System-Sqlinjection | Exploit Third Party Advisory |
https://vuldb.com/?id.205619 | 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).
None
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-2667
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-2667
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.
-
CPE Deprecation Remap by [email protected]
Nov. 26, 2024
Action Type Old Value New Value Changed CPE Configuration OR *cpe:2.3:a:loan_management_system_project:loan_management_system:-:*:*:*:*:*:*:* OR *cpe:2.3:a:razormist:loan_management_system:-:*:*:*:*:*:*:* -
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/cxaqhq/Loan-Management-System-Sqlinjection Added Reference https://vuldb.com/?id.205619 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Aug. 11, 2022
Action Type Old Value New Value 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/cxaqhq/Loan-Management-System-Sqlinjection No Types Assigned https://github.com/cxaqhq/Loan-Management-System-Sqlinjection Exploit, Third Party Advisory Changed Reference Type https://vuldb.com/?id.205619 No Types Assigned https://vuldb.com/?id.205619 Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:loan_management_system_project:loan_management_system:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-2667
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-2022-2667
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.14 }} 0.04%
score
0.50603
percentile