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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
View instance information on EC2, Azure, GCE & OpenStack.
Support for other cloud service providers may be easily added thanks to Apache Libcloud
Docker image available at ghcr.io/ricardobranco777/cloudview:latest
Usage: cloudview [OPTIONS]
Options:
-c, --config FILE path to clouds.yaml
-l, --log debug|info|warning|error|critical
logging level
-o, --output none|text|html|json output type
-p, --port PORT run a web server on port PORT
-r, --reverse reverse sort
-s, --sort name|time|state sort type
-S, --states error|migrating|normal|paused|pending|rebooting|reconfiguring|running|starting|stopped|stopping|suspended|terminated|unknown|updating
filter by instance state
-T, --time TIME_FORMAT time format as used by strftime(3)
-V, --version show version and exit
-v, --verbose be verbose
--insecure insecure mode
Docker or Podman to run the Docker image or:
Edit examples/clouds.yaml with the relevant information and run chmod 600 /path/to/clouds.yaml
.
NOTES:
AWS_*
, AZURE_*
, GOOGLE_*
& OS_
environment variables.pip3 install --user cloudview
cloudview [OPTIONS]
docker run --rm [OPTIONS] -v /path/to/clouds.yaml:/clouds.yaml:ro ghcr.io/ricardobranco777/cloudview -c /clouds.yaml
NOTES:
clouds.yaml
-e REQUESTS_CA_BUNDLE=/path/to/certs.pem
If you have a TLS key pair, put the certificates in cert.pem
, the private key in key.pem
and the file containing the passphrase to the private key in key.txt
. Then edit the docker-compose.yml file to mount the directory to /etc/nginx/ssl
in the container like this: - "/path/to/tls:/etc/nginx/ssl:ro"
. Set and export the NGINX_HOST
environment variable with the FQDN of your host.
For HTTP Basic Authentication, create a file named auth.htpasswd
in the same directory with the TLS key pair.
If you don't have a TLS key pair, a self-signed certificate and a random password for logging in will be generated. You can see the latter with docker compose logs
. The user is test
.
After running docker compose build
& docker compose up -d
you can browse to https://localhost:8443
LIBCLOUD_DEBUG
environment variable to a path like /dev/stderr
FAQs
View instance information on all supported cloud providers
We found that cloudview demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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