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https://github.com/securityftw/cs-suite

Cloud Security Suite - One stop tool for auditing the security posture of AWS/GCP/Azure infrastructure.
https://github.com/securityftw/cs-suite

aws-audit aws-security azure azure-audit azure-security cloud-security gcp gcp-audit-report security security-audit security-tools

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Cloud Security Suite - One stop tool for auditing the security posture of AWS/GCP/Azure infrastructure.

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README

        

# Cloud Security Suite (cs-suite) - Version 3.0

## Usage
```
usage: cs.py [-h] -env {aws,gcp,azure,digitalocean} -aip AUDIT_IP -u USER_NAME -pem
PEM_FILE [-p] [-pId PROJECT_ID] [-az_u AZURE_USER]
[-az_p AZURE_PASS] [-o OUTPUT] [-w] [-n NUMBER]

this is to get IP address for lynis audit only

optional arguments:
-h, --help show this help message and exit
-env {aws,gcp,azure,digitalocean}, --environment {aws,gcp,azure,digitalocean}
The cloud on which the test-suite is to be run
-aip AUDIT_IP, --audit_ip AUDIT_IP
The IP for which lynis Audit needs to be done .... by
default tries root/Administrator if username not
provided
-u USER_NAME, --user_name USER_NAME
The username of the user to be logged in,for a
specific user
-pem PEM_FILE, --pem_file PEM_FILE
The pem file to access to AWS instance
-p, --password hidden password prompt
-pId PROJECT_ID, --project_id PROJECT_ID
Project ID for which GCP Audit needs to be run. Can be
retrivied using `gcloud projects list`
-az_u AZURE_USER, --azure_user AZURE_USER
username of azure account, optionally used if you want
to run the azure audit with no user interaction.
-az_p AZURE_PASS, --azure_pass AZURE_PASS
username of azure password, optionally used if you
want to run the azure audit with no user interaction.
-o OUTPUT, --output OUTPUT
writes a log in JSON of an audit, ideal for
consumptions into SIEMS like ELK and Splunk. Defaults
to cs-audit.log
-w, --wipe rm -rf reports/ folder before executing an audit
-n, --number Retain number of report to store for a particular
environment and user/project.
```
## Requirements
* Operating System **OSX** or **Linux** only
* python 2.7
* pip
* git
* jq
* gcc (for sshpass installation (OS Audit). Not a mandatory pre-requisite)
* AWS Audit - AWS ReadOnly Keys
* GCP Audit - gcloud setup
* Azure Audit - Azure user read-only access
* DigitalOcean Audit - DigitalOcean API key and SPACES access_key and access_secret

## Installation
(in order to avoid missing with the already installed python libraries)

- get project `git clone https://github.com/SecurityFTW/cs-suite.git &&
cd cs-suite/`
- install [virtualenv](https://virtualenv.pypa.io/en/latest/) `pip install virtualenv`
- create a python 2.7 local enviroment `virtualenv -p python2.7 venv`
- activate the virtual enviroment `source venv/bin/activate`
- install project dependencies `pip install -r requirements.txt`
- run the tool via `python cs.py --help`

### AWS Configuration
- In AWS create a IAM user with at least the following policy `arn:aws:iam::aws:policy/ReadOnlyAccess`
- In your local [install aws cli](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html) `brew install awscli` _for OSX_
- Configure AWS cli `aws configure`

### GCP Configuration
- create a [project](https://cloud.google.com/resource-manager/docs/creating-managing-projects) in GCP
- enable the [Cloud resource manager API](https://console.cloud.google.com/apis/api/cloudresourcemanager.googleapis.com/overview)
- create a [service account](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating_service_account_keys), download its key JSON and place it under `cs-suite/tools/G-Scout/keyfile.json`)
- Install [google cloud sdk](https://cloud.google.com/sdk/install#installation_options)
- configure google clound sdk `gcloud init`

### Azure Configuration

- signup and have logged in already to [azure.microsoft.com](https://azure.microsoft.com)
- install azure CLI `brew install az`
- authenticate the azure cli `az login`, you should see your subscription type if it was successful, simiarly to the response below:

```
[
{
"cloudName": "AzureCloud",
"id": "xxxxx-5595-4da5-bc27-xxxeeee",
"isDefault": true,
"name": "Free Trial",
"state": "Enabled",
"tenantId": "xxxxx-18e9-41a4-961b-xxxxx",
"user": {
"name": "[email protected]",
"type": "user"
}
}
]
```

### DigitalOcean Configuration

- create Personal Access Tokens and Spaces Access keys [cloud.digitalocean.com](https://cloud.digitalocean.com/account/api/tokens)
- set the credentials by running export

export DO_KEY=*********************

export DO_ACCESS_KEY=*******************

export DO_SECRET_KEY=****************************

## Running cs-suite

```
To run AWS Audit - python cs.py -env aws
To run GCP Audit - python cs.py -env gcp -pId
To run Azure Audit - python cs.py -env azure
To run DigitalOcean Audit - python cs.py -env digitalocean
```

- The final report will be available in `reports` directory

- The final AWS Audit report looks like below:

![AWS Audit report](AWS_Audit_Report.png)

- The final GCP Audit report looks like below:

![GCP Audit report](GCP_Audit_Report.png)

## Docker Setup

- Create a local directory `aws` with `credentials` and `config` files

- The `config` file looks like below

```
$ cat aws/config

[default]
output = json
region = us-east-1
```
- The `credentials` file looks like below

```
$ cat aws/credentials

[default]
aws_access_key_id = XXXXXXXXXXXXXXX
aws_secret_access_key = XXXXXXXXXXXXXXXXXXXXXXXXX
```

***Note: This tool requires `arn:aws:iam::aws:policy/ReadOnlyAccess` IAM policy***

- Then run the follwing docker command to start (passing your specific enviroment)

```
docker run -v `pwd`/aws:/root/.aws -v `pwd`/reports:/app/reports securityftw/cs-suite -env aws
```

## Documentation
[https://securityftw.github.io](https://securityftw.github.io)

## Thanks
* Scout2 - https://github.com/nccgroup/Scout2
* Prowler - https://github.com/Alfresco/prowler
* Lunar - https://github.com/lateralblast/lunar
* Lynis - https://github.com/CISOfy/lynis
* G-Scout - https://github.com/nccgroup/G-Scout
* @alanrenouf - https://github.com/alanrenouf/Windows-Workstation-and-Server-Audit
* Ranjeet Sengar - https://github.com/sengar23