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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600Ć Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600Ć faster than humans.
Base tools to develop complex API with rights management.
This project was developped by Maxime Alves and Joël Maïzi. The name was chosen to reference HalfORM, a project written by Joël Maïzi.
Configure HalfAPI in the file : .halfapi/config .
It's a toml file that contains at least two sections, project and domains.
###Ā Project
The main configuration options without which HalfAPI cannot be run.
secret : The file containing the secret to decode the user's tokens.
port : The port for the test server.
loglevel : The log level (info, debug, critical, ...)
Specify the domains configurations in the following form :
[domains.DOMAIN_NAME]
name = "DOMAIN_NAME"
enabled = true
prefix = "/prefix"
module = "domain_name.path.to.api.root"
port = 1002
Specific configuration can be done under the "config" section :
[domains.DOMAIN_NAME.config]
boolean_option = false
string_value = "String"
answer = 42
listylist = ["hello", "world"]
And can be accessed through the app's "config" dictionnary.
Develop an HalfAPI domain by following the examples located in tests/dummy_domain . An HalfAPI domain should be an importable python module that is available in the python path.
Run the project by using the halfapi run
command.
You can try the dummy_domain with the following command.
PYTHONPATH=$PWD/tests python -m halfapi domain dummy_domain
Use the CLI help.
python -m halfapi --help
python -m halfapi domain --help
@TODO
Check out the sample project that helps you to build your own domain.
@TODO
FAQs
Core to write deep APIs using a module's tree
We found that halfapi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Ā It has 1 open source maintainer collaborating on the project.
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