Scout2 is a security tool that lets AWS administrators assess their environment’s security posture. Using the AWS API, Scout2 gathers configuration data for manual inspection and highlights high-risk areas automatically. Rather than pouring through dozens of pages on the web, Scout2 supplies a clear view of the attack surface automatically.
Note: Scout2 is stable and actively maintained, but a number of features and internals may change. As such, please bear with us as we find time to work on, and improve, the tool. Feel free to report a bug with details (e.g. console output using the “–debug” argument), request a new feature, or send a pull request.
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Install via pip:
$ pip install awsscout2
Install from source:
$ git clone https://github.com/nccgroup/Scout2
$ cd Scout2
$ pip install -r requirements.txt
$ python setup.py install
Scout2 is a multi-threaded tool that fetches and stores your AWS account’s configuration settings in memory during runtime. It is expected that the tool will run with no issues on any modern laptop or equivalent VM. Running it in a VM with limited computing resources such as a t2.micro instance is not intended and will likely result in the process being killed.
It is written in Python and supports the following versions:
To run it, you will need valid AWS credentials (e.g Access Key ID and Secret Access Key). The role, or user account, associated with these credentials requires read-only access for all resources in a number of services, including but not limited to CloudTrail, EC2, IAM, RDS, Redshift, and S3.
The following AWS Managed Policies can be attached to the principal in order to grant necessary permissions:
Use of this does not require AWS users to complete and submit the AWS Vulnerability / Penetration Testing Request Form. Scout2 only performs AWS API calls to fetch configuration data and identify security gaps, which is not considered security scanning as it does not impact AWS’ network and applications.
After performing a number of AWS API calls, Scout2 will create a local HTML report and open it in the default browser.
Using a computer already configured to use the AWS CLI, boto3, or another AWS SDK, you may use Scout2 using the following command:
$ Scout2
Note: EC2 instances with an IAM role fit in this category.
If multiple profiles are configured in your .aws/credentials and .aws/config files, you may specify which credentials to use with the following command:
$ Scout2 --profile <PROFILE_NAME>
If you have a CSV file containing the API access key ID and secret, you may run Scout2 with the following command:
$ Scout2 --csv-credentials <CREDENTIALS.CSV>
The following command will provide the list of available command line options:
$ Scout2 --help
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