ACsploit is an interactive command-line utility to generate worst-case inputs to commonly used algorithms. These worst-case inputs are designed to result in the target program utilizing a large amount of resources (e.g. time or memory).
ACsploit is designed to be easy to use and contribute to. Future features will include adding arbitrary constraints to inputs, creating an API, and hooking into running programs to feed worst-case input directly to functions of interest.
Join us on the ACsploit Slack here!
Start ACsploit with
python3 acsploit.py. From there, you can use the
help command to see what commands are available.
You can call
help on any of them to learn more about how to use that command, such as
To see the available exploits, use the
show command. To stage one for use, use
use [exploit_name]. To see a
description of the exploit, run
info. At any point, you can run
options to see the current input, output, and
exploit options, and then use
set [option_name] [value] to set an option. To see detailed descriptions of the options,
Tab completion is enabled for exploit and option names.
run to generate output from the exploit.
ACsploit supports abbreviated commands, bash commands using
CTRL+R history search, and more.
--load-file SCRIPT runs the commands in
SCRIPT as if they had been entered in an interactive ACsploit session and then exits.
# can be used for comments as in Python.
--debug enables debug mode, in which ACsploit prints stack-traces when errors occur.
Documents are generated using pdoc3 and can be found in the
pip3 install pdoc3 to install the documentation dependencies and then run
Caution should be used in generating and accessing ACsploit exploits. Using unreasonable exploit parameters may cause denial of service on generation. Additionally, the canned exploits (e.g. compression bombs) may cause denial of service if accessed by relevant applications.
Tests for ACsploit can be invoked from inside the
acsploit directory by running
python -m pytest test. Alternatively, individual tests can be invoked by running
python -m pytest test/path/to/test.py.
To run the tests and obtain an HTML coverage report run the following:
python -m pytest --cov=. --cov-report html:cov test/
Finally to run the tests in parellel the
-n flag can be used followed by the number of tests to run in parallel. On Linux and Mac the following works:
python -m pytest -n`nproc` --cov=. --cov-report html:cov test/
We welcome community contributions to all aspects of ACsploit! For guidelines on contributing, please see CONTRIBUTING.md
Acsploit is available under the 3-clause BSD license (see LICENSE)