CVE-2017-5344
dotCMS SQL Injection
Description
An issue was discovered in dotCMS through 3.6.1. The findChildrenByFilter() function which is called by the web accessible path /categoriesServlet performs string interpolation and direct SQL query execution. SQL quote escaping and a keyword blacklist were implemented in a new class, SQLUtil (main/java/com/dotmarketing/common/util/SQLUtil.java), as part of the remediation of CVE-2016-8902; however, these can be overcome in the case of the q and inode parameters to the /categoriesServlet path. Overcoming these controls permits a number of blind boolean SQL injection vectors in either parameter. The /categoriesServlet web path can be accessed remotely and without authentication in a default dotCMS deployment.
INFO
Published Date :
Feb. 17, 2017, 7:59 a.m.
Last Modified :
Sept. 1, 2017, 1:29 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
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-2017-5344.
| URL | Resource |
|---|---|
| http://dotcms.com/security/SI-39 | Vendor Advisory |
| http://seclists.org/fulldisclosure/2017/Feb/34 | Exploit Mailing List Third Party Advisory |
| http://www.securityfocus.com/bid/96259 | |
| https://github.com/xdrr/webapp-exploits/blob/master/vendors/dotcms/2017.01.blind-sqli/dotcms-dump.sh | Exploit Third Party Advisory |
| https://www.exploit-db.com/exploits/41377/ |
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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-5344 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-5344 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 -
CVE Modified by [email protected]
Sep. 01, 2017
Action Type Old Value New Value Added Reference https://www.exploit-db.com/exploits/41377/ [No Types Assigned] -
CVE Modified by [email protected]
Mar. 07, 2017
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/96259 [No Types Assigned] -
Initial Analysis by [email protected]
Feb. 17, 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 http://seclists.org/fulldisclosure/2017/Feb/34 No Types Assigned http://seclists.org/fulldisclosure/2017/Feb/34 Third Party Advisory, Mailing List, Exploit Changed Reference Type http://dotcms.com/security/SI-39 No Types Assigned http://dotcms.com/security/SI-39 Vendor Advisory Changed Reference Type https://github.com/xdrr/webapp-exploits/blob/master/vendors/dotcms/2017.01.blind-sqli/dotcms-dump.sh No Types Assigned https://github.com/xdrr/webapp-exploits/blob/master/vendors/dotcms/2017.01.blind-sqli/dotcms-dump.sh Third Party Advisory, Exploit Added CWE CWE-89 Added CPE Configuration OR *cpe:2.3:a:dotcms:dotcms:3.6.1:*:*:*:*:*:*:* (and previous)
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-5344 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-2017-5344
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.61 }} 0.00%
score
0.75358
percentile