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https://github.com/mseclab/PyJFuzz
PyJFuzz - Python JSON Fuzzer
https://github.com/mseclab/PyJFuzz
crash fuzzer fuzzing json json-api json-schema json-serialization process-crashes
Last synced: about 2 months ago
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PyJFuzz - Python JSON Fuzzer
- Host: GitHub
- URL: https://github.com/mseclab/PyJFuzz
- Owner: mseclab
- License: mit
- Created: 2016-10-13T09:40:49.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-08-02T07:02:57.000Z (over 1 year ago)
- Last Synced: 2024-10-15T03:22:27.452Z (about 2 months ago)
- Topics: crash, fuzzer, fuzzing, json, json-api, json-schema, json-serialization, process-crashes
- Language: Python
- Homepage:
- Size: 1.23 MB
- Stars: 375
- Watchers: 16
- Forks: 77
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-hacking-lists - mseclab/PyJFuzz - PyJFuzz - Python JSON Fuzzer (Python)
README
[](https://s30.postimg.org/iolw8xqn5/logo.png)
=======
**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
```{r, engine='bash', count_lines}
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)
[](https://s17.postimg.org/6gvbyvzpb/cmdline.png)
[](https://s16.postimg.org/rdq1iwwvp/cmdline2.png)
**Library**
PyJFuzz could also work as a library, you can import in your project like following
```python
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
[](https://s4.postimg.org/7picu4y3h/lib.png)
**Examples**
Below some trivial example of how-to implement PyJFuzz powered program
*simple_fuzzer.py*
```python
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*
```python
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*
```python
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
``` python
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
[](https://s18.postimg.org/qu5j9pw09/ext_fuzz.png)
[](https://s11.postimg.org/qtgi9dro3/filefuzz.png)
[](https://s15.postimg.org/7jn4ktkcb/processm.png)
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.
[](https://s18.postimg.org/ulahts5bt/fuzzweb.png)
[](https://s17.postimg.org/74s3qidrj/fuzzweb2.png)
[](https://s18.postimg.org/j0t67tabt/auto.png)
[](https://s15.postimg.org/qj2o5it2z/auto2.png)
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 (https://github.com/DaveGamble/cJSON/issues/105)
- Unhandled exception in picojson (https://github.com/kazuho/picojson/issues/94)
- Memory leak in simpleJSON (https://github.com/nbsdx/SimpleJSON/issues/8)
- Stack base buffer overflow in frozen (https://github.com/cesanta/frozen/issues/14)
- Memory corruption with custom EIP (https://github.com/cesanta/frozen/issues/15)
End
===
Thanks for using PyJFuzz!
***Happy Fuzzing*** from mseclab