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.
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
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:
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 pythonTechniques 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 attackBelow some screenshot just to let you know what you should expect from PyJFuzz
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.
IssuePlease send any issue here via GitHub I'll provide a fix as soon as possible.
Below a list of know issue found by PyJFuzz, the list will be updated weekly
Thanks for using PyJFuzz!
Happy Fuzzing from mseclab
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