• Stars
    star
    1,677
  • Rank 27,846 (Top 0.6 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created over 8 years ago
  • Updated 7 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

FakeNet-NG - Next Generation Dynamic Network Analysis Tool
 ______      _  ________ _   _ ______ _______     _   _  _____
|  ____/\   | |/ /  ____| \ | |  ____|__   __|   | \ | |/ ____|
| |__ /  \  | ' /| |__  |  \| | |__     | |______|  \| | |  __
|  __/ /\ \ |  < |  __| | . ` |  __|    | |______| . ` | | |_ |
| | / ____ \| . \| |____| |\  | |____   | |      | |\  | |__| |
|_|/_/    \_\_|\_\______|_| \_|______|  |_|      |_| \_|\_____|

       D   O   C   U   M   E   N   T   A   T   I   O   N

FakeNet-NG 3.0 (alpha) is a next generation dynamic network analysis tool for malware analysts and penetration testers. It is open source and designed for the latest versions of Windows (and Linux, for certain modes of operation). FakeNet-NG is based on the excellent Fakenet tool developed by Andrew Honig and Michael Sikorski.

The tool allows you to intercept and redirect all or specific network traffic while simulating legitimate network services. Using FakeNet-NG, malware analysts can quickly identify malware's functionality and capture network signatures. Penetration testers and bug hunters will find FakeNet-NG's configurable interception engine and modular framework highly useful when testing application's specific functionality and prototyping PoCs.

Installation

You can install FakeNet-NG in a few different ways. Note that the following installation processes will retrieve third-party open-source libraries used by FakeNet-NG to your system. These libraries will be dynamically loaded at runtime, and some of these libraries may be LGPL licensed.

Stand-alone executable

It is easiest to simply download the compiled version which can be obtained from the releases page:

https://github.com/mandiant/flare-fakenet-ng/releases

Execute FakeNet-NG by running 'fakenet.exe'.

This is the preferred method for using FakeNet-NG on Windows as it does not require you to install any additional modules, which is ideal for a malware analysis machine.

Installing module

Installation on Linux requires the following dependencies:

  • Python pip package manager (e.g. python-pip for Ubuntu).
  • Python development files (e.g. python-dev for Ubuntu).
  • OpenSSL development files (e.g. libssl-dev for Ubuntu).
  • libffi development files (e.g. libffi-dev for Ubuntu).
  • libnetfilterqueue development files (e.g. libnetfilter-queue-dev for Ubuntu).

Install these dependencies using the following command:

sudo apt-get install build-essential python-dev libnetfilter-queue-dev

Install FakeNet-NG as a Python module using pip:

pip install https://github.com/mandiant/flare-fakenet-ng/zipball/master

Or by obtaining the latest source code and installing it manually:

git clone https://github.com/mandiant/flare-fakenet-ng/

Change directory to the downloaded flare-fakenet-ng and run:

python setup.py install

Execute FakeNet-NG by running 'fakenet' in any directory.

No installation

Finally if you would like to avoid installing FakeNet-NG and just want to run it as-is (e.g. for development), then you would need to obtain the source code and install dependencies as follows:

  1. Install 64-bit or 32-bit Python 3.7.x for the 64-bit or 32-bit versions of Windows respectively.

  2. Install Python dependencies:

    pip install pydivert dnslib dpkt pyopenssl pyftpdlib netifaces

    NOTE: pydivert will also download and install WinDivert library and driver in the %PYTHONHOME%\DLLs directory. FakeNet-NG bundles those files so they are not necessary for normal use.

2b) Optionally, you can install the following module used for testing:

pip install requests
  1. Download the FakeNet-NG source code:

    git clone https://github.com/mandiant/flare-fakenet-ng

Execute FakeNet-NG by running it with a Python interpreter in a privileged shell:

python -m fakenet.fakenet

Usage

The easiest way to run FakeNet-NG is to simply execute the provided executable as an Administrator. You can provide --help command-line parameter to get simple help:

C:\tools\fakenet-ng>fakenet.exe --help
  ______      _  ________ _   _ ______ _______     _   _  _____
 |  ____/\   | |/ /  ____| \ | |  ____|__   __|   | \ | |/ ____|
 | |__ /  \  | ' /| |__  |  \| | |__     | |______|  \| | |  __
 |  __/ /\ \ |  < |  __| | . ` |  __|    | |______| . ` | | |_ |
 | | / ____ \| . \| |____| |\  | |____   | |      | |\  | |__| |
 |_|/_/    \_\_|\_\______|_| \_|______|  |_|      |_| \_|\_____|

                         Version  3.0 (alpha)
  _____________________________________________________________
                   Developed by FLARE Team
    Copyright (C) 2016-2023 Mandiant, Inc. All rights reserved.
  _____________________________________________________________
Usage: python -m fakenet.fakenet [options]:

Options:
  -h, --help            show this help message and exit
  -c FILE, --config-file=FILE
                        configuration filename
  -v, --verbose         print more verbose messages.
  -l LOG_FILE, --log-file=LOG_FILE

As you can see from the simple help above it is possible to configure the configuration file used to start FakeNet-NG. By default, the tool uses configs\default.ini; however, it can be changed with the -c parameter. There are several example configuration files in the configs directory. Due to the large number of different settings, FakeNet-NG relies on the configuration files to control its functionality.

NOTE: FakeNet-NG will attempt to locate the specified configuration file, first by using the provided absolute or relative path in case you want to store all of your configurations. If the specified configuration file is not found, then it will try to look in its configs directory.

The rest of the command-line options allow you to control the amount of logging output displayed as well as redirecting it to a file as opposed to dumping it on the screen.

Simple run

Before we dive in and run FakeNet-NG let's go over a few basic concepts. The tool consists of several modules working together. One such important module is the Diverter which is responsible for redirecting traffic to a collection of listeners. The Diverter forces applications to interact with FakeNet-NG as opposed to real servers. Listeners are individual services handling incoming connections and allowing us to examine application's traffic (e.g. malware signatures).

Let's launch FakeNet-NG using default settings by running the following command:

C:\tools\fakenet-ng>fakenet.exe

Below is the annotated output log illustrating a sample intercepted DNS request and an HTTP connection:

  ______      _  ________ _   _ ______ _______     _   _  _____
 |  ____/\   | |/ /  ____| \ | |  ____|__   __|   | \ | |/ ____|
 | |__ /  \  | ' /| |__  |  \| | |__     | |______|  \| | |  __
 |  __/ /\ \ |  < |  __| | . ` |  __|    | |______| . ` | | |_ |
 | | / ____ \| . \| |____| |\  | |____   | |      | |\  | |__| |
 |_|/_/    \_\_|\_\______|_| \_|______|  |_|      |_| \_|\_____|

                         Version  3.0 (alpha)
  _____________________________________________________________
                   Developed by FLARE Team
    Copyright (C) 2016-2022 Mandiant, Inc. All rights reserved.
  _____________________________________________________________

07/06/16 10:20:52 PM [           FakeNet] Loaded configuration file: configs/default.ini
                                                                        /
                                            default configuration file /

07/06/16 10:20:52 PM [          Diverter] Capturing traffic to packets_20160706_222052.pcap
                                                                        /
                                                      PCAP output file /

07/06/16 10:20:52 PM [           FakeNet] Anonymous Forwarder listener on TCP port 8080...
                                    \
                                     \ Anonymous Listener rule

07/06/16 10:20:52 PM [    RawTCPListener] Starting...
07/06/16 10:20:52 PM [    RawUDPListener] Starting...
07/06/16 10:20:52 PM [  FilteredListener] Starting...
07/06/16 10:20:52 PM [        DNS Server] Starting...
07/06/16 10:20:52 PM [    HTTPListener80] Starting...
07/06/16 10:20:52 PM [   HTTPListener443] Starting...
07/06/16 10:20:52 PM [      SMTPListener] Starting...
07/06/16 10:20:52 PM [          Diverter] Starting...
                                       \
                                        \ Listeners starting up

07/06/16 10:20:52 PM [          Diverter] Diverting ports:
07/06/16 10:20:52 PM [          Diverter] TCP: 1337, 80, 443, 25
07/06/16 10:20:52 PM [          Diverter] UDP: 1337, 53
                                          /
               Summary of diverted ports /

07/06/16 10:21:03 PM [          Diverter] Modifying outbound external UDP request packet:
07/06/16 10:21:03 PM [          Diverter]   from: 192.168.250.140:49383 -> 4.2.2.1:53
07/06/16 10:21:03 PM [          Diverter]   to:   192.168.250.140:49383 -> 192.168.250.140:53
07/06/16 10:21:03 PM [          Diverter]   pid:  456 name: malware.exe
                                                            /
    Intercepted traffic to the DNS server from malware.exe /

07/06/16 10:21:03 PM [        DNS Server] Received A request for domain 'evil.com'.
                                       \
                                        \ Fake DNS Listener handling the above request

07/06/16 10:21:04 PM [          Diverter] Modifying outbound external TCP request packet:
07/06/16 10:21:04 PM [          Diverter]   from: 192.168.250.140:2179 -> 192.0.2.123:80
07/06/16 10:21:04 PM [          Diverter]   to:   192.168.250.140:2179 -> 192.168.250.140:80
07/06/16 10:21:04 PM [          Diverter]   pid:  456 name: malware.exe
                                                            /
    Intercepted traffic to the web server from malware.exe /

07/06/16 10:21:08 PM [    HTTPListener80] Received a GET request.
07/06/16 10:21:08 PM [    HTTPListener80] --------------------------------------------------------------------------------
07/06/16 10:21:08 PM [    HTTPListener80] GET / HTTP/1.0
07/06/16 10:21:08 PM [    HTTPListener80]
07/06/16 10:21:08 PM [    HTTPListener80] --------------------------------------------------------------------------------
                                       \
                                        \ Fake HTTP Listener handling the above request

Notice that each log line has a name of the currently running FakeNet-NG modules. For example, when it is diverting traffic, the logs will be prefixed with the Diverter label:

07/06/16 10:21:03 PM [          Diverter] Modifying outbound external UDP request packet:
07/06/16 10:21:03 PM [          Diverter]   from: 192.168.250.140:49383 -> 4.2.2.1:53
07/06/16 10:21:03 PM [          Diverter]   to:   192.168.250.140:49383 -> 192.168.250.140:53
07/06/16 10:21:03 PM [          Diverter]   pid:  456 name: malware.exe

At the same time, whenever individual listeners are handling diverted traffic, logs will be labeled with the name set in the configuration file:

07/06/16 10:21:03 PM [        DNS Server] Received A request for domain 'evil.com'.

To stop FakeNet-NG and close out the generated PCAP file simply press CTRL-C:

07/06/16 10:21:41 PM [           FakeNet] Stopping...
07/06/16 10:21:42 PM [    HTTPListener80] Stopping...
07/06/16 10:21:42 PM [   HTTPListener443] Stopping...
07/06/16 10:21:42 PM [      SMTPListener] Stopping...
07/06/16 10:21:43 PM [          Diverter] Stopping...

Configuration

In order to take full advantage of FakeNet-NG's capabilities we must understand its configuration file structure and settings. Below is a sample configuration file:

###############################################################################
# Fakenet Configuration

[FakeNet]

DivertTraffic: Yes

###############################################################################
# Diverter Configuration

[Diverter]

NetworkMode:            Auto

LinuxRedirectNonlocal:  *
LinuxFlushIptables:     Yes
LinuxFlushDNSCommand:   service dns-clean restart

DumpPackets:            Yes
DumpPacketsFilePrefix:  packets

ModifyLocalDNS:         No
StopDNSService:         Yes

RedirectAllTraffic:     Yes
DefaultTCPListener:     RawTCPListener
DefaultUDPListener:     RawUDPListener

###############################################################################
# Listener Configuration

[DNS Server]
Enabled:     True
Port:        53
Protocol:    UDP
Listener:    DNSListener
DNSResponse: 192.0.2.123
NXDomains:   0
Hidden:      False

[RawTCPListener]
Enabled:     True
Port:        1337
Protocol:    TCP
Listener:    RawListener
UseSSL:      No
Timeout:     10
Hidden:      False

The configuration file is broken up into several sections.

  • [FakeNet] - Controls the behavior of the application itself. The only valid option at this point is DivertTraffic. When enabled, it instructs the tool to launch the appropriate Diverter plugin and intercept traffic. If this option is disabled, FakeNet-NG will still launch listeners, but will rely on another method to direct traffic to them (e.g. manually change DNS server).

  • [Diverter] - Settings for redirecting traffic. Covered in detail below.

  • [Listener Name] - A collection of listener configurations. Each listener has a set of default settings (e.g. port, protocol) as well as listener specific configurations (e.g. DumpHTTPPosts for the HTTPListener).

Diverter Configuration

Supposing you have enabled the DivertTraffic setting in the [FakeNet] configuration block, the tool will enable its traffic redirection engine to which we will call Diverter from now on as a reference to the excellent WinDivert library used to perform the magic behind the scenes on Windows platforms (the Linux implementation of the Diverter uses python-netfilterqueue).

The Diverter will examine all of the outgoing packets and match them against a list of protocols and ports of enabled listeners. If there is a listener listening on the packet's port and protocol, then the destination address will be changed to the local machine's IP address where the listener will handle the request. At the same time, responses coming from the listener will be changed so that the source IP address would appear as if the packet is coming from the originally requested host.

You can optionally enable the DumpPackets setting to store all traffic observed by FakeNet-NG (redirected or forwarded) to a PCAP file. It is possible to decrypt SSL traffic between an intercepted application and one of the listeners with SSL support. Use the instructions at the following page:

https://wiki.wireshark.org/SSL

The keys privkey.pem and server.pem used by FakeNet-NG's servers are in the application's root directory.

  • NetworkMode - Specify the network mode in which to run FakeNet-NG.
    • Valid settings are:
      • SingleHost: manipulate traffic from local processes.
      • MultiHost: manipulate traffic from other systems.
      • Auto: use whatever NetworkMode is most functional on the current platform.
    • Not all platforms currently support all NetworkMode settings. Here is the current status of support:
      • Windows supports only SingleHost
      • Linux supports MultiHost and experimentally supports SingleHost mode (works with the exception of process, port, and host blacklisting and whitelisting).
    • For now, leave this set to Auto to get SingleHost mode on Windows and MultiHost mode on Linux.

The Diverter generally supports the following DNS-related setting:

  • ModifyLocalDNS - point local machine's DNS service to FakeNet-NG's DNS listener.

The Windows implementation of Diverter supports the following DNS-related setting:

  • StopDNSService - stops the Windows DNS client service (Dnscache). This allows FakeNet-NG to see the actual processes resolving domains as opposed to the generic 'svchost.exe' process.

The Linux implementation of Diverter supports the following settings:

  • LinuxRedirectNonlocal - When using FakeNet-NG to simulate Internet connectivity for a different host, this specifies which externally facing network interfaces to re-route to FakeNet-NG.

  • LinuxFlushIptables - Flush all iptables rules before adding rules for FakeNet-NG. The Linux Diverter will restore the old rules as long as its termination sequence is not interrupted.

  • LinuxFlushDnsCommand - Specify the correct command for your Linux distribution to flush the DNS resolver cache if applicable.

  • DebugLevel - Specify fine-grained debug events to display. Refer to fakenet/diverters/linutil.py for valid labels.

Redirecting All Traffic

By default the Diverter will only intercept traffic that has a dedicated listener created for it. However, by enabling RedirectAllTraffic setting and configuring the default TCP and UDP handlers with the DefaultTCPListener and DefaultUDPListener settings it is possible to dynamically handle traffic going to ports not explicitly defined in one of the listeners. For example, let's look at a sample configuration which redirects all traffic to local TCP and UDP listeners on ports 1234:

RedirectAllTraffic: Yes
DefaultTCPListener: TCPListener1234
DefaultUDPListener: UDPListener1234

NOTE: We are jumping a bit ahead with listener definitions, but just consider that TCPListener1234 and UDPListener1234 will be defined in the section below.

With the RedirectAllTraffic setting, FakeNet-NG will modify not only the destination address, but also the destination port so it can be handled by one of the default listeners. Below is a sample log of traffic destined to an external host IP address 1.1.1.1 on port 4444 which was redirected to the default listener on port 1234 instead:

07/06/16 01:13:47 AM [          Diverter] Modifying outbound external TCP request packet:
07/06/16 01:13:47 AM [          Diverter]   from: 192.168.66.129:1650 -> 1.1.1.1:4444
07/06/16 01:13:47 AM [          Diverter]   to:   192.168.66.129:1650 -> 192.168.66.129:1234
07/06/16 01:13:47 AM [          Diverter]   pid:  3716 name: malware.exe

It is important to note that traffic destined to the port from one of the explicitly defined listeners will still be handled by that listener and not the default listener. For example, default UDP listener will not handle DNS traffic if a separate UDP port 53 DNS listener is defined.

One issue when enabling the RedirectAllTraffic options is that you may still want to let some traffic through to ensure normal operation of the machine. Consider a scenario where you are trying to analyze an application that still needs to connect to an external DNS server. You can utilize the BlackListPortsTCP and BlackListPortsUDP settings to define a list of ports to which traffic will be ignored and forwarded unaltered:

BlackListPortsUDP: 53

Some other Diverter settings that you may consider are ProcessBlackList and HostBlackList which allow Diverter to ignore and forward traffic coming from a specific process name or destined for a specific host respectively.

Listener Configurations

Listener configurations define the behavior of individual listeners. Let's look at a sample listener configuration:

[TCPListener1234]
Enabled:     True
Port:        1234
Protocol:    TCP
Listener:    RawListener
UseSSL:      Yes
Timeout:     10
Hidden:      False

The configuration above consists of the listener name TCPListener1234. It will be used for logging purposes so you can distinguish between different listeners handling connections even if they are handling the same protocol.

The following settings are generic for all listeners:

  • Enabled - specify whether or not the listener is enabled.
  • Port - TCP or UDP port to listen on.
  • Protocol - TCP or UDP
  • Listener - Listener name to handle traffic.
  • ProcessWhiteList - Only traffic from these processes will be modified and the rest will simply be forwarded.
  • ProcessBlackList - Traffic from all but these processes will be simply forwarded and the rest will be modified as needed.
  • HostWhiteList - Only traffic to these hosts will be modified and the rest will be simply forwarded.
  • HostBlackList - Traffic to these hosts will be simply forwarded and the rest will be modified as needed.
  • ExecuteCmd - Execute command on the first connection packet. This feature is useful for extending FakeNet-NG's functionality (e.g. launch a debugger on the connecting pid to help with unpacking and decoding.)
  • Hidden - Do not allow traffic to be directed to this listener without going through the proxy which will determine the protocol based on the packet contents

The Port and Protocol settings are necessary for the listeners to know to which ports to bind and, if they support multiple protocol (e.g RawListener), decide which protocol to use. They are also used by the Diverter to figure out which ports and protocols to redirect.

The Listener setting defines one of the available listener plugins to handle redirected traffic. The current version of FakeNet-NG comes with the following listeners:

  • DNSListener - supports DNS protocol and replies to A records with either a local machine's IP address or a configurable address in the DNSResponse setting. You can also set the NXDomains attribute to the number of requests the listener should ignore. This way you may be able to get the malware to request all of its backup C2 controller names. The listener supports both TCP and UDP protocols.
  • RawListener - supports basic TCP and UDP binary protocols. The default behavior is to simply echo the received packets back to the client. Supports SSL connections.
  • HTTPListener - supports HTTP and HTTPS protocols. Responds with different files in the configurable Webroot directory based on the requested file extension. Optionally dumps POST requests to a configurable file which can be specified using DumpHTTPPosts and DumpHTTPPostsFilePrefix settings.
  • SMTPListener - supports SMTP protocol.
  • ProxyListener- Detects protocol based on packet contents and redirects packets accordingly.

NOTE: FakeNet-NG will attempt to locate the webroot directory, first by using the provided absolute or relative paths. If the specified webroot path is not found, then it will try to look in its defaultFiles directory.

As a special case, the Windows Diverter implementation automatically responds to all ICMP requests while running. So in case a malware attempts to ping a host to test connectivity it will get a valid response. The Linux Diverter logs and forwards all ICMP packets to localhost.

NOTE: Some listeners can handle file uploads (e.g. TFTPListener and BITSListener). All uploaded files will be stored in the current working directory with a configurable prefix (e.g. "tftp_" for TFTP uploads).

Listener Filtering

FakeNet-NG supports several filtering rules consisting of process and host blacklists and whitelists. The whitelists are treated as the rules that allow connections to the listeners while the blacklists are used to ignore the incoming connections and let them to be simply forwarded.

For example, consider the configuration below with process and host filters:

[FilteredListener]
Enabled:     True
Port:        31337
Protocol:    TCP
Listener:    RawListener
UseSSL:      No
Timeout:     10
ProcessWhiteList: malware.exe, ncat.exe
HostBlackList: 5.5.5.5

The FilteredListener above will only handle connection coming from the processes malware.exe and ncat.exe, but will ignore any connections destined for the host 5.5.5.5. Meaning that if a process called test.exe attempted to connect on port 31337 it will not be redirected to the listener and will be forwarded to wherever it was originally intended if the route is available.

At the same time of the process malware.exe attempted to connect to port 31337 on any host other than 5.5.5.5 it will be diverted to the FilteredListener. Any connections from the process malware.exe destined to 5.5.5.5 would be allowed through.

Listener Command Execution

Another powerful configuration setting is ExecuteCmd. It essentially allows you to execute an arbitrary command on the first detected packet of the connection. The value of ExecuteCmd can use several format string variables:

  • {pid} - process id
  • {procname} - process executable name
  • {src_addr} - source address
  • {src_port} - source port
  • {dst_addr} - destination address
  • {dst_port} - destination port

Consider a scenario of a packed malware sample which connects to a configured C2 server on port 8443 (Use RedirectAllTraffic if the port is not known). In many cases the malware would unpack itself by the time it makes the connection making that point in execution ideal to attach to the process with a debugger and dump an unpacked version of it for further analysis.

Let's see how this can be used to automatically launch a debugger on the first connection:

[C2Listener]
Enabled:     True
Port:        8443
Protocol:    TCP
Listener:    RawListener
UseSSL:      Yes
Timeout:     300
ProcessWhiteList: malware.exe
ExecuteCmd:  C:\Program Files (x86)\Windows Kits\10\Debuggers\x86\windbg.exe -p {pid}

Once FakeNet-NG detects a new connection coming from the whitelisted process malware.exe (this setting is optional), it will automatically launch windbg and attach it to the connecting process.

NOTE: You might want to extend the normal Timeout setting in case the malware needs to further interact with the listener.

Anonymous Listener

There is a special use case where you can create a new listener configuration without defining the actual listener to handle it:

[Forwarder]
Enabled:     True
Port:        8080
Protocol:    TCP
ProcessWhiteList: chrome.exe

Without a listener defined, FakeNet-NG will still divert traffic to the local machine, but a separate listener must be launched by the user. For example, you could have an HTTP proxy listening for connections on port 8080 and let FakeNet-NG intercept all the traffic from applications which do not use system's proxy server settings or use hard-coded IP addresses. Using anonymous listeners you can bring FakeNet-NG's advanced traffic and process filtering capabilities to 3rd party tools.

You may also want to enable Diverter's ProcessBlackList setting to allow the external tool to communicate out to the Internet. For example, to allow an HTTP proxy to forward proxied traffic add its process name to the process blacklist. For example, add the following process to let Burp Proxy to communicate out to the Internet:

ProcessBlackList: java.exe

In the scenario where application communicates on an unknown port, but you still want to redirect it to the anonymous listener on port 8080 you can define the default listener as follows:

RedirectAllTraffic: Yes
DefaultTCPListener: ForwarderTCP
DefaultUDPListener: RawUDPListener

Finally, to allow DNS traffic to still go to the default DNS server on the Internet, while redirecting all other traffic, add port 53 to the Diverter's UDP port blacklist as follows:

BlackListPortsUDP:

Proxy Listener

The latest release of FakeNet-NG implements a new proxy listener which is capable of dynamically detecting communicating protocol (including SSL traffic) and redirecting the connecting to an appropriate listener.

You can configure the proxy listener to work on a specific port as illustrated in the configuration below:

[ProxyTCPListener]
Enabled:    True
Protocol:   TCP
Listener:   ProxyListener
Port:       38926
Listeners:  HTTPListener, RawListener, FTPListener, DNSListener, POPListener, SMTPListener, TFTPListener, IRCListener, BITSListener
Hidden:     False

Note, the new Listeners parameter which defines a list of potential protocol handlers to try for all incoming connections.

It is also recommended to define a proxy listener as your default handler by updating the following diverter configurations:

RedirectAllTraffic:    Yes
DefaultTCPListener:    ProxyTCPListener
DefaultUDPListener:    ProxyUDPListener

With the default listener pointing to the proxy listener, all unknown connections will be appropriately handled. You can still assign specific listeners to ports to enforce a specific protocol (e.g. always use HTTP listener for port 80).

The Proxy determines the protocol of packets by polling all available listeners with the function taste(). Each Listener that implements taste() will respond with a score indicating the likelihood that the protocol handled by that listener matches the packet contents. The Proxy will forward the packet to the Listener that returned the highest score. The RawListener will always return a score of 1, so it will be chosen in the case that all other Listeners return 0, thus serving as the default.

Users can alter the configuration parameter 'Hidden' in each Listener's configuration. If Hidden is 'False', the Listener will be bound to a specific port and automatically receive all traffic on that port. With Hidden set to 'True', the Listener can only receive traffic that is redirected through the Proxy.

Development

FakeNet-NG is developed in Python which allows you to rapidly develop new plugins and extend existing functionality. For details, see Developing for FakeNet-NG.

Known Issues

Does not work on VMWare with host-only mode enabled

See "Not Intercepting Traffic" below.

Not Intercepting Traffic

In order to for FakeNet-NG to intercept and modify the packet, there must exist a valid network route for the packet to reach its destination.

There is an easy way to check whether or not you have routes set up correctly. Without the tool running attempt to ping the destination host. You should observe either a valid response or a timeout message. If you receive a destination not reachable error instead, then you do not have a valid route.

This is usually caused by your gateway being either not set or not reachable. For example, on a VMWare machine with host-only mode your machine will not have the gateway configured thus preventing FakeNet-NG from seeing any traffic.

To correct this issue, manually configure your primary interface to the gateway in the same subnet. First check the interface name:

C:\>netsh interface show interface

Admin State    State          Type             Interface Name
-------------------------------------------------------------------------
Enabled        Connected      Dedicated        Local Area Connection

In this case the interface name is "Local Area Connection" so we will use it for the rest of the commands.

Manually configure the interface IP address and gateway as follows:

C:\>netsh interface ip set address name="Local Area Connection" static 192.168.249.123 255.255.255.0 192.168.249.254

Manually set the DNS server IP address

C:\>netsh interface ip set dns name="Local Area Connection" static 4.2.2.2

If you are still having issue ensure that the gateway IP address itself is routable.

DNS Not Resolving Names

Ensure that the DNS Listener successfully bound to its port. Errors such as the following indicate that the DNS Listener did not successfully bind:

05/01/17 11:11:16 AM [           FakeNet] Error starting DNSListener listener:
05/01/17 11:11:16 AM [           FakeNet]  [Errno 98] Address already in use

Use netstat, tcpview, or other tools to discover what application is bound to the port, and refer to the corresponding operating system or application documentation to disable the service.

It may make sense to capture a VM snapshot before undertaking reconfiguration.

For example, Ubuntu commonly enables the dnsmasq service in /etc/NetworkManager/NetworkManager.conf with the line dns=dnsmasq. Disabling this (such as by commenting it out) and restarting the network-manager service (e.g. service network-manager restart) is sufficient to free the port before re-launching FakeNet-NG.

In newer versions of Ubuntu or in other distributions, using lsof -i may reveal that systemd-resolved is used instead. In these cases, you may try these steps adapted from https://askubuntu.com/questions/907246/how-to-disable-systemd-resolved-in-ubuntu:

sudo systemctl stop systemd-resolved
sudo systemctl disable systemd-resolved

Then in /etc/NetworkManager/NetworkManager.conf under the [main] section, add a line specifying:

dns=default

Delete the symlink /etc/resolv.conf, i.e. rm /etc/resolv.conf.

Finally, restart NetworkManager:

sudo systemctl restart NetworkManager

Error: Could not locate WinDivert DLL or one of its components

Please ensure that FakeNet-NG is extracted to the local C: drive to make sure the WinDivert driver is loaded correctly.

Error: The application has failed to start because its side-by-side configuration is incorrect.

This error may occur when running a stand-alone executable version of Fakenet. Please download and install Visual C++ 2008 runtime executable.

Limitations

  • Only Windows Vista+ is supported for SingleHost mode. Please use the original Fakenet for Windows XP/2003 operating systems.

  • Only Linux is supported for MultiHost mode.

  • Old versions of python-netfilterqueue can cause a segmentation fault in python. If you experience this issue, check that you are using the latest version of python-netfilterqueue.

  • Due to the hard-coded buffer size used by python-netfilterqueue, the Linux Diverter does not correctly handle packets greater than 4,016 bytes in size. In practice, this does not affect Linux MultiHost mode for interfaces configured with the conventional 1,500 byte maximum transmittal unit (MTU). If the Linux interface you are using with FakeNet-NG supports an MTU greater than 4016, you will need to recompile python-netfilterqueue to support a buffer size of <your_mtu> + 80 (python-netfilterqueue devotes 80 bytes of the buffer to overhead).

  • Local machine only traffic is not intercepted on Windows (e.g. if you tried to connect directly to one of the listeners).

  • Only traffic using TCP, UDP, and ICMP protocols is intercepted.

Credits

  • FakeNet-NG was designed and developed by Peter Kacherginsky.
  • Special thanks to Andrew Honig, Michael Sikorski and others for the original FakeNet which was the inspiration to develop this tool.
  • The Linux Diverter was designed and developed by Michael Bailey.
  • Thanks to Matthew Haigh for developing the proxy protocol autodetection feature.
  • Thanks to Cody Pierce and Antony Saba for reporting and fixing a file system traversal vulnerability.

Contact

For bugs, crashes, or other comments please contact [email protected].

More Repositories

1

commando-vm

Complete Mandiant Offensive VM (Commando VM), a fully customizable Windows-based pentesting virtual machine distribution. [email protected]
PowerShell
6,897
star
2

flare-vm

A collection of software installations scripts for Windows systems that allows you to easily setup and maintain a reverse engineering environment on a VM.
PowerShell
6,334
star
3

capa

The FLARE team's open-source tool to identify capabilities in executable files.
Python
4,775
star
4

flare-floss

FLARE Obfuscated String Solver - Automatically extract obfuscated strings from malware.
Python
3,155
star
5

red_team_tool_countermeasures

YARA
2,639
star
6

flare-ida

IDA Pro utilities from FLARE team
Python
2,031
star
7

speakeasy

Windows kernel and user mode emulation.
Python
1,290
star
8

SharPersist

C#
1,213
star
9

ThreatPursuit-VM

Threat Pursuit Virtual Machine (VM): A fully customizable, open-sourced Windows-based distribution focused on threat intelligence analysis and hunting designed for intel and malware analysts as well as threat hunters to get up and running quickly.
PowerShell
1,204
star
10

gocrack

GoCrack is a management frontend for password cracking tools written in Go
Go
1,101
star
11

flare-emu

Python
735
star
12

stringsifter

A machine learning tool that ranks strings based on their relevance for malware analysis.
Python
672
star
13

SilkETW

C#
641
star
14

Mandiant-Azure-AD-Investigator

PowerShell
614
star
15

Azure_Workshop

HCL
572
star
16

sunburst_countermeasures

YARA
561
star
17

Ghidrathon

The FLARE team's open-source extension to add Python 3 scripting to Ghidra.
Java
556
star
18

capa-rules

Standard collection of rules for capa: the tool for enumerating the capabilities of programs
528
star
19

ReelPhish

Python
493
star
20

iocs

FireEye Publicly Shared Indicators of Compromise (IOCs)
458
star
21

DueDLLigence

C#
450
star
22

FIDL

A sane API for IDA Pro's decompiler. Useful for malware RE and vulnerability research
Python
431
star
23

flare-wmi

C++
412
star
24

GoReSym

Go symbol recovery tool
Go
379
star
25

rvmi

rVMI - A New Paradigm For Full System Analysis
C
352
star
26

PwnAuth

Python
347
star
27

idawasm

IDA Pro loader and processor modules for WebAssembly
Python
332
star
28

ADFSpoof

Python
318
star
29

SimplifyGraph

IDA Pro plugin to assist with complex graphs
C++
303
star
30

STrace

A DTrace on Windows Reimplementation
C++
299
star
31

ShimCacheParser

Python
258
star
32

OfficePurge

C#
256
star
33

msi-search

C
215
star
34

macos-UnifiedLogs

Rust
200
star
35

ioc_writer

Python
195
star
36

GeoLogonalyzer

GeoLogonalyzer is a utility to analyze remote access logs for anomalies such as travel feasibility and data center sources.
Python
194
star
37

Vulnerability-Disclosures

C++
183
star
38

flare-kscldr

FLARE Kernel Shellcode Loader
C
175
star
39

flare-qdb

Command-line and Python debugger for instrumenting and modifying native software behavior on Windows and Linux.
Python
161
star
40

flare-dbg

flare-dbg is a project meant to aid malware reverse engineers in rapidly developing debugger scripts.
Python
149
star
41

thiri-notebook

The Threat Hunting In Rapid Iterations (THIRI) Jupyter notebook is designed as a research aide to let you rapidly prototype threat hunting rules.
Python
146
star
42

route-sixty-sink

Link sources to sinks in C# applications.
C#
137
star
43

VM-Packages

Chocolatey packages supporting the analysis environment projects FLARE-VM & Commando VM.
PowerShell
135
star
44

heyserial

Programmatically create hunting rules for deserialization exploitation with multiple keywords, gadget chains, object types, encodings, and rule types
YARA
130
star
45

dncil

The FLARE team's open-source library to disassemble Common Intermediate Language (CIL) instructions.
Python
124
star
46

flashmingo

Automatic analysis of SWF files based on some heuristics. Extensible via plugins.
Python
118
star
47

Reversing

111
star
48

ioc-scanner-CVE-2019-19781

Indicator of Compromise Scanner for CVE-2019-19781
Shell
91
star
49

flare-bytecode_graph

Python
82
star
50

gocrack-ui

The User Interface for GoCrack
Vue
81
star
51

Volatility-Plugins

Python
80
star
52

unicorn-libemu-shim

libemu shim layer and win32 environment for Unicorn Engine
C++
70
star
53

citrix-ioc-scanner-cve-2023-3519

Shell
61
star
54

AuditParser

AuditParser
Python
56
star
55

remote_lookup

Resolves DLL API entrypoints for a process w/ remote query capabilities.
Visual Basic
54
star
56

synfulknock

Lua
48
star
57

SSSDKCMExtractor

Python
46
star
58

jitm

JITM is an automated tool to bypass the JIT Hooking protection on a .NET sample.
C++
43
star
59

goauditparser

Go
39
star
60

capa-testfiles

Data to test capa's code and rules.
Max
39
star
61

tf_rl_tutorial

Tutorial: Statistical Relational Learning with Google TensorFlow
Jupyter Notebook
39
star
62

macOS-tools

Python
38
star
63

apooxml

Generate YARA rules for OOXML documents.
Python
38
star
64

gootloader

Collection of scripts used to deobfuscate GOOTLOADER malware samples.
Python
36
star
65

pycommands

PyCommand Scripts for Immunity Debugger
Python
35
star
66

vocab_scraper

Vocabulary Scraper script used in FLARE's analysis of Russian-language Carbanak source code
Python
35
star
67

ARDvark

ARDvark parses the Apple Remote Desktop (ARD) files to pull out application usage, user activity, and filesystem listings.
Python
34
star
68

rvmi-rekall

Rekall Forensics and Incident Response Framework with rVMI extensions
Python
32
star
69

gocat

Provides access to libhashcat
Go
29
star
70

ics_mem_collect

Python
26
star
71

rvmi-qemu

QEMU with rVMI extensions
C
26
star
72

IDA_Pro_VoiceAttack_profile

Python
25
star
73

win10_auto

Python
23
star
74

pulsesecure_exploitation_countermeasures

YARA
23
star
75

rvmi-kvm

Linux-KVM with rVMI extensions
C
23
star
76

pivy-report

Poison Ivy Appendix/Extras
17
star
77

siglib

Python
15
star
78

DFUR-Splunk-App

The "DFUR" Splunk application and data that was presented at the 2020 SANS DFIR Summit.
13
star
79

vbScript_deobfuscator

Help deobfuscate VBScript
VBA
13
star
80

flare-gsoc-2023

Supporting resources and documentation for FLARE @ Google Summer of Code 2023
13
star
81

rpdebug_qnx

Python
11
star
82

mandiant_managed_hunting

Azure Deployment Templates for Mandiant Managed Huning
9
star
83

flare-floss-testfiles

Resources for testing FLOSS by the FLARE team.
C
6
star
84

shelidate

Go
2
star