Witcher is the first framework for using AFL to fuzz web applications.
This repo contains the source code for Witcher a web application fuzzer that utilizes mutational fuzzing
to explore web applications and fault escalation to detect command and SQL injection vulnerabilities.
Witcher is to be published in S&P in May 2023.
@inproceedings{trickelwitcher,
title={Toss a fault to your witcher: Applying grey-box coverage-guided mutational fuzzing to detect sql and command injection vulnerabilities},
author={Trickel, Erik and Pagani, Fabio and Zhu, Chang and Dresel, Lukas and Vigna, Giovanni and Kruegel, Christopher and Wang, Ruoyu and Bao, Tiffany and Shoshitaishvili, Yan and Doup{'e}, Adam},
booktitle={IEEE Symposium on Security and Privacy (SP), to appear},
pages={116–133},
year={2023}
}
This repo relies on submodules
git submodule update --init --recursive
The best way to utilize Witcher is to build the base docker containers and use them as the foundation for the web application container to be tested.
To get started, run docker/build-all.sh
Once completed, the script will have built all of Witcher’s base containers.
When building the target web application, use one of the above containers in conjunction with the FROM
field in the application’s docker build file.
Currently, PHP 5 and 7 fuzz the application by accessing the PHP application via CGI. Whereas, Witcher fuzzes python, java, nodejs, and ruby using the target web application’s interface.
This repository contains Witcher’s source code, the scripts used to evaluate Witcher are available at https://github.com/sefcom/Witcher-experiment
To start, we suggest setting up a directory structure similar to what was done for the evaluation (See Hospital Management).
In general, create a folder for the web application where the Dockerfile and source code will reside.
Next, create a folder for configuration and results (e.g.,user
), inside the new folder create a file named witcher_config.json
The new folder will be mapped to Witcher’s container at run time so that the results are saved to your local drive.
docker build --build-arg USE_INSTRUMENTED=1 -t openemr-user
The completely built containers exists on hub.docker, which can be pulled via the witcherfuzz user.
docker pull witcherfuzz/php7run
docker pull witcherfuzz/python
docker pull witcherfuzz/java
docker pull witcherfuzz/nodejs
docker pull witcherfuzz/ruby
The Witcher Config File, witcher_config.json
should be created in the
{
"testname": "name of test",
"afl_inst_interpreter_binary": "location of intrepreter with AFL instrumentation",
"wc_inst_interpreter_binary": "path to intrepreter with Witcher instruemtnation",
"base_url": "http://localhost/",
"afl_path": "/afl",
"ld_library_path":"/wclibs",
"afl_preload":"/wclibs/lib_db_fault_escalator.so",
"number_of_refuzzes": 3,
"timeout" : 28800,
"script_skip_list": ["test_5"],
"script_random_order": 1,
"script_start_index": 10,
"script_end_index": 20,
"cores": 3,
"request_crawler": {
"form_url" : "http://localhost/interface/login/login.php?site=default",
"usernameSelector": "#authUser",
"usernameValue": "admin",
"passwordSelector": "#clearPass",
"passwordValue": "password",
"submitType": "enter",
"positiveLoginMessage": "title=\"Current user\"",
"method": "POST",
"form_selector": ".form-login",
"form_submit_selector": "input[type=submit]",
"ignoreValues": [],
"urlUniqueIfValueUnique": []
},
"direct":{
"url": "http://localhost/interface/main/main_screen.php",
"postData": "new_login_session_management=1&authProvider=TroubleMaker&authUser=admin&clearPass=password&languageChoice=1",
"getData": "auth=login&site=default",
"positiveHeaders": [{"Location":"/interface/main/tabs/main.php"}],
"positiveBody": "",
"method": "POST",
"cgiBinary": "/php/php-cgi-mysqli-wc",
"loginSessionCookie" : "OpenEMR",
"mandatoryGet": "",
"extra_authorized_requests": [{"url": "http://localhost/interface/patient_file/summary/demographics.php?set_pid=2"}]
}
}
For the experiments, a bash script was used to configure the container and directories and run the fuzzer.
docker run -id --rm --privileged --shm-size=1G -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix --name openerm-user -v openemr:/openemr -v openemr/user:/tmp/coverages ${docker_image_name}
docker exec -it -w /helpers/request_crawler/ openemr touch /tmp/start_test.dat
docker exec -it -w /helpers/request_crawler/ -u wc openemr bash -i'"'timeout --signal KILL $(( 4 * 60 * 60 ))s node main.js request_crawler http://localhost /openemr/user --no-headless >> openemr/user/crawler.log '"'
docker exec -it openemr/user bash -c "echo 1 >/proc/sys/kernel/sched_child_runs_first && echo core > /proc/sys/kernel/core_pattern";
docker exec -it openemr/user bash -c 'for fn in /sys/devices/system/cpu/cpu*/cpufreq/scaling_gov*; do echo performance > $fn; done'
docker exec -it opeemr/user bash -i -c 'cd /app; chown wc:www-data -R .; chmod o+r . -R;if [ -d /var/instr/ ]; then chmod 666 -R /var/instr/*; fi
docker exec -it -w "openemr" -u wc openemr/user bash -i -c "p --testver WICHR
After completing the last command, the fuzzer should start with results being printed to the terminal.