CloudGrappler

Permiso: https://permiso.io
Read our release blog: https://permiso.io/blog/cloudgrappler-a-powerful-open-source-threat-detection-tool-for-cloud-environments

CloudGrappler is a purpose-built tool designed for effortless querying of high-fidelity and single-event detections related to well-known threat actors in popular cloud environments such as AWS and Azure.

Notes

To optimize your utilization of CloudGrappler, we recommend using shorter time ranges when querying for results. This approach enhances efficiency and accelerates the retrieval of information, ensuring a more seamless experience with the tool.

Required Packages

root@kitploit:~

pip3 install -r requirements.txt

Input

This tool offers a CLI (Command Line Interface). As such, here we review its use:

Example 1 - Running the tool with default queries file

Define the scanning scope inside data_sources.json file based on your cloud infrastructure configuration. The following example showcases a structured data_sources.json file for both AWS and Azure environments:

Note

Modifying the source inside the queries.json file to a wildcard character (*) will scan the corresponding query across both AWS and Azure environments.

{
  "AWS": [
    {
      "bucket": "cloudtrail-logs-00000000-ffffff",
      "prefix": [
        "testTrails/AWSLogs/00000000/CloudTrail/eu-east-1/2024/03/03",
        "testTrails/AWSLogs/00000000/CloudTrail/us-west-1/2024/03/04"
      ]
    },
    {
      "bucket": "aws-kosova-us-east-1-00000000"
    }

  ],
  "AZURE": [
    {
      "accountname": "logs",
      "container": [
        "cloudgrappler"
      ]
    }
  ],
 "GCP": [
    {
      "gcp_bucket": "buketi"
    }
  ]
}

Run command

python3 main.py

Example 2 - Permiso Intel Use Case

python3 main.py -p

[+] Running GetFileDownloadUrls.*secrets_ for AWS 
[+] Threat Actor: LUCR3 
[+] Severity: MEDIUM 
[+] Description: Review use of CloudShell. Permiso seldom witnesses use of CloudShell outside of known attackers.This however may be a part of your normal business use case. 

Example 3 - Generate report

python3 main.py -p -jo

reports
└── json
    ├── AWS
    │   └── 2024-03-04 01:01 AM
    │       └── cloudtrail-logs-00000000-ffffff--
    │           └── testTrails/AWSLogs/00000000/CloudTrail/eu-east-1/2024/03/03
    │               └── GetFileDownloadUrls.*secrets_.json
    └── AZURE
    │    └── 2024-03-04 01:01 AM
    │        └── logs
    │            └── cloudgrappler
    │                └── okta_key.json
    └── GCP
        └── 2024-03-04 01:01 AM
            └── buketi
                    └── modified_firewall.json

Example 4 - Filtering logs based on date or time

python3 main.py -p -sd 2024-02-15 -ed 2024-02-16

Example 5 - Manually adding queries and data source types

python3 main.py -q “GetFileDownloadUrls.*secret”, ”UpdateAccessKey” -s '*'

Example 6 - Running the tool with your own queries file

python3 main.py -f new_file.json

Running in your Cloud and Authentication cloudgrep

AWS

Your system will need access to the S3 bucket. For example, if you are running on your laptop, you will need to configure the AWS CLI. If you are running on an EC2, an Instance Profile is likely the best choice.

If you run on an EC2 instance in the same region as the S3 bucket with a VPC endpoint for S3 you can avoid egress charges. You can authenticate in a number of ways.

Azure

The simplest way to authenticate with Azure is to first run:

az login

This will open a browser window and prompt you to login to Azure.

GCP

You will need to create a service account and download the credentials file then set with:

export GOOGLE_APPLICATION_CREDENTIALS="/Users/creds.json"