PyJFuzz is a small, extensible and ready-to-use framework used to fuzz JSON inputs, such as mobile endpoint REST API, JSON implementation, Browsers, cli executable and much more.

Version	1.1.0
Homepage	http://www.mseclab.com/
Github	https://github.com/mseclab/PyJFuzz
Author	Daniele Linguaglossa (@dzonerzy)
License	MIT - (see LICENSE file)

Installation

Dependencies

In order to work PyJFuzz need some dependency, bottle,netifaces,GitPython and gramfuzz, you can install them from automatic setup.py installation.

Installation

You can install PyJFuzz with the following command

git clone https://github.com/mseclab/PyJFuzz.git && cd PyJFuzz && sudo python setup.py install

Documentation and Examples

CLI tool

Once installed PyJFuzz will create both a python library and a command-line utility called pjf (screenshot below)

Library

PyJFuzz could also work as a library, you can import in your project like following

from pyjfuzz.lib import *

Classes

The available object/class are the following:

• PJFServer - User to start and stop built-in HTTP and HTTPS servers
• PJFProcessMonitor - Used to monitor process crash, it will automatically restart proccess each time it crash
• PJFTestcaseServer - The testcase server is used in conjunction with PJFProcessMonitor, whenever a process crash the testcase server will register and store the JSON which cause the crash
• PJFFactory - It's the main object used to do the real fuzz of JSON objects
• PJFConfiguration - It's the configuration file for each of the available objects
• PJFExternalFuzzer - Used by PJFactory is a auxiliary class which provide an interface to other command line fuzzer such as radamsa
• PJFMutation - Used by PJFFactory provide all the mutation used during fuzzing session
• PJFExecutor - Provides an interface to interact with external process

Examples

Below some trivial example of how-to implement PyJFuzz powered program

simple_fuzzer.py

from argparse import Namespace
from pyjfuzz.lib import *

config = PJFConfiguration(Namespace(json={"test": ["1", 2, True]}, nologo=True, level=6))
fuzzer = PJFFactory(config)
while True:
    print fuzzer.fuzzed

custom_techniques.py

from argparse import Namespace
from pyjfuzz.lib import *

# Techniques may be defined by group , or by technique number
# groups are CHTPRSX , to understand what they are , please run pyjfuzz with -h switch or look at the command line screenshot
# This below will initalizate a config object which use only the P group attacks where P stay for Path Traversal
config = PJFConfiguration(Namespace(json={"test": ["1", 2, True]}, nologo=True, level=6, techniques="P"))
# once a config object is defined you can access to config.techniques to view the selected techniques for your group
print("Techniques IDs: {0}".format(str(config.techniques)))
# you can eventually modify them!
config.techniques = [2]
# This way only attack number 2 (LFI Attack) will be performed!
fuzzer = PJFFactory(config)
while True:
    print fuzzer.fuzzed

simple_server.py

from argparse import Namespace
from pyjfuzz.lib import *

config = PJFConfiguration(Namespace(json={"test": ["1", 2, True]}, nologo=True, level=6, debug=True, indent=True))
PJFServer(config).run()

Sometimes you may need to modify standard non customizable settings such as HTTPS or HTTP server port, this can be done in the following way

from argparse import Namespace
from pyjfuzz.lib import *

config = PJFConfiguration(Namespace(json={"test": ["1", 2, True]}, nologo=True, level=6, indent=True))
print config.ports["servers"]["HTTP_PORT"]   # 8080
print config.ports["servers"]["HTTPS_PORT"]  # 8443
print config.ports["servers"]["TCASE_PORT"]  # 8888
config.ports["servers"]["HTTPS_PORT"] = 443  # Change HTTPS port to 443

Remember: When changing default ports, you should always handle exception due to needed privileges!

Below a comprehensive list of all available settings / customization of PJFConfiguration object:

Configuration table

Name	Type	Description
json	dict	JSON object to fuzz
json_file	str	Path to a JSON file
parameters	list<str>	List of parameters to fuzz (taken from JSON object)
techniques	str<int>	String of enable attacks, used to generate fuzzed JSON, such as XSS, LFI etc. ie "CHPTRSX" (Look techniques table)
level	int	Fuzzing level in the range 0-6
utf8	bool	If true switch from unicode encode to pure byte representation
indent	bool	Set whenever to indent the result object
url_encode	bool	Set whenever to URLEncode the result object
strong_fuzz	bool	Set whenever to use strong fuzzing (strong fuzzing will not maintain JSON structure, usefull for parser fuzzing)
debug	bool	Set whenever to enable debug prints
exclude	bool	Exclude from fuzzing parameters selected by parameters option
notify	bool	Set whenever to notify process monitor when a crash occurs only used with PJFServer
html	str	Path to an HTML directory to serve within PJFServer
ext_fuzz	bool	Set whenever to use binary from "command" as an externale fuzzer
cmd_fuzz	bool	Set whenever to use binary from "command" as fuzzer target
content_type	str	Set the content type result of PJFServer (default application/json)
command	list<str>	Command to execute each paramester is a list element, you could use shlex.split from python

Techniques table

Index	Description
0	XSS injection (Polyglot)
1	SQL injection (Polyglot)
2	LFI attack
3	SQL injection polyglot (2)
4	XSS injection (Polyglot) (2)
5	RCE injection (Polyglot)
6	LFI attack (2)
7	Data URI attack
8	LFI and HREF attack
9	Header injection
10	RCE injection (Polyglot) (2)
11	Generic templace injection
12	Flask template injection
13	Random character attack

Screenshots

Below some screenshot just to let you know what you should expect from PyJFuzz

Built-in tool

PyJFuzz is shipped with a built-in tool called PyJFuzz Web Fuzzer, this tool will provide an automatic fuzzing console via HTTP and HTTPS server, it can be used to easly fuzz almost any web browser even when you can't control the process state!

There are two switch used to launch this tool (--browser-auto and --fuzz-web), the first one perform automatic browser restart when a crash occur, the other one try to catch when a browser doesn't make requests anymore. Both of them always save the testcases, below some screenshots.

Issue

Please send any issue here via GitHub I'll provide a fix as soon as possible.

Result

Below a list of know issue found by PyJFuzz, the list will be updated weekly

• Double free in cJSON (DaveGamble/cJSON#105)
• Unhandled exception in picojson (kazuho/picojson#94)
• Memory leak in simpleJSON (nbsdx/SimpleJSON#8)
• Stack base buffer overflow in frozen (cesanta/frozen#14)
• Memory corruption with custom EIP (cesanta/frozen#15)

End

Thanks for using PyJFuzz!

Happy Fuzzing from mseclab