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S3 Inspector

Tool to check AWS S3 bucket permissions.

This is a fork from https://github.com/clario-tech/s3-inspector created to work better on terminals.

Will be created a file with the results in case there are many bucket in your account you can check this file

What it does

  • Checks all your buckets for public access
  • For every bucket gives you the report with:
    • Indicator if your bucket is public or not
    • Permissions for your bucket if it is public
    • List of URLs to access your bucket (non-public buckets will return Access Denied) if it is public

Prerequisites

Compatible with Linux, MacOS and Windows, python 3.

(Recommended) Use AWS environment variables

  • Set AWS environment variables
    • Optionally you can set the AWS_SESSION_TOKEN
export AWS_ACCESS_KEY_ID="ASIA...NOPJ"
export AWS_SECRET_ACCESS_KEY="Gdd...icc"
export AWS_SESSION_TOKEN="IQoJb3JpZ2luX2Vj.....QHZDsPHxftf0NE="
  • run the script in the same shell you set the envs before
python s3inspector.py

Use existing configured IAM User

  • use your existing credentials or profile if you have a file ~/.aws/credentials like this:
[default]
aws_access_key_id = <your access key ID goes here>
aws_secret_access_key = <your secret_access_key goes here>
[my_profile_name]
aws_access_key_id = <your access key ID goes here>
aws_secret_access_key = <your secret_access_key goes here>
  • and pass the profile name or leave blank for default when requested:
python s3inspector.py
Enter your AWS profile name [default]:

Create a new IAM User

  • Create IAM user with AmazonS3ReadOnly policy attached
    • Go to IAM (https://console.aws.amazon.com/iam/home)
    • Click "Users" on the left hand side menu
    • Click "Add user"
    • Fill in user name and check Programmatic access
    • Click "Next: Permissions"
    • Click "Attach existing policies directly"
    • Check AmazonS3ReadOnly policy
    • Click "Next: Review"
    • Click "Create user"
    • Copy the credentials
      • Access key ID
      • Secret access key
  • Create ~/.aws/credentials file or paste the credentials in when you run the script
    • Put the credentials you copied in the previous step here in this format:
[default]
aws_access_key_id = <your access key ID goes here>
aws_secret_access_key = <your secret_access_key goes here>

Usage

python s3inspector.py

Report example

Sample report screenshot

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Tool to check AWS S3 bucket permissions

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