hartl3y94/s3scanner

Scan for open AWS S3 buckets and dump the contents

S3Scanner

A tool to find open S3 buckets and dump their contents 💧

If you've earned a bug bounty using this tool, please consider donating to support it's development

Usage

usage: s3scanner [-h] [-o OUTFILE] [-d] [-l] [--version] buckets

#  s3scanner - Find S3 buckets and dump!
#
#  Author: Dan Salmon - @bltjetpack, github.com/sa7mon

positional arguments:
  buckets               Name of text file containing buckets to check

optional arguments:
  -h, --help            show this help message and exit
  -o OUTFILE, --out-file OUTFILE
                        Name of file to save the successfully checked buckets in (Default: buckets.txt)
  -d, --dump            Dump all found open buckets locally
  -l, --list            Save bucket file listing to local file: ./list-buckets/${bucket}.txt
  --version             Display the current version of this tool

The tool takes in a list of bucket names to check. Found S3 buckets are output to file. The tool will also dump or list the contents of 'open' buckets locally.

Interpreting Results

This tool will attempt to get all available information about a bucket, but it's up to you to interpret the results.

Settings available for buckets:

• Object Access (object in this case refers to files stored in the bucket)
  • List Objects
  • Write Objects
• ACL Access
  • Read Permissions
  • Write Permissions

Any or all of these permissions can be set for the 2 main user groups:

• Authenticated Users
• Public Users (those without AWS credentials set)
• (They can also be applied to specific users, but that's out of scope)

What this means: Just because a bucket returns "AccessDenied" for it's ACLs doesn't mean you can't read/write to it. Conversely, you may be able to list ACLs but not read/write to the bucket

Installation

1. (Optional) virtualenv venv && source ./venv/bin/activate
2. pip install -r requirements.txt
3. python ./s3scanner.py

(Compatibility has been tested with Python 2.7 and 3.6)

Using Docker

1. Build the Docker image:

sudo docker build -t s3scanner https://github.com/sa7mon/S3Scanner.git

2. Run the Docker image:

sudo docker run -v /input-data-dir/:/data s3scanner --out-file /data/results.txt /data/names.txt

This command assumes that names.txt with domains to enumerate is in /input-data-dir/ on host machine.

Examples

This tool accepts the following type of bucket formats to check:

• bucket name - google-dev
• domain name - uber.com, sub.domain.com
• full s3 url - yahoo-staging.s3-us-west-2.amazonaws.com (To easily combine with other tools like bucket-stream)
• bucket:region - flaws.cloud:us-west-2

> cat names.txt
flaws.cloud
google-dev
testing.microsoft.com
yelp-production.s3-us-west-1.amazonaws.com
github-dev:us-east-1

1. Dump all open buckets, log both open and closed buckets to found.txt

   > python ./s3scanner.py --include-closed --out-file found.txt --dump names.txt

2. Just log open buckets to the default output file (buckets.txt)

   > python ./s3scanner.py names.txt

3. Save file listings of all open buckets to file

   > python ./s3scanner.py --list names.txt
   

Contributing

Issues are welcome and Pull Requests are appreciated. All contributions should be compatible with both Python 2.7 and 3.6.

master
enhancements
bugs

Testing

• All test are currently in test_scanner.py
• Run tests with in 2.7 and 3.6 virtual environments.
• This project uses pytest-xdist to run tests. Use pytest -n NUM where num is number of parallel processes.
• Run individual tests like this: pytest -q -s test_scanner.py::test_namehere

Contributors

• Ohelig
• vysecurity
• janmasarik
• alanyee
• hipotermia

License

License: MIT https://opensource.org/licenses/MIT