Awesome

• AWS
• DigitalOcean
• DreamHost
• GCP
• Linode
• Scaleway
• Custom

Features

• ⚡️ Multi-threaded scanning
• 🔭 Supports many built-in S3 storage providers or custom
• 🕵️‍♀️ Scans all bucket permissions to find misconfigurations
• 💾 Save results to Postgres database
• 🐇 Connect to RabbitMQ for automated scanning at scale
• 🐳 Docker support

Used By

Usage

INPUT: (1 required)
  -bucket        string  Name of bucket to check.
  -bucket-file   string  File of bucket names to check.
  -mq                    Connect to RabbitMQ to get buckets. Requires config file key "mq". Default: "false"

OUTPUT:
  -db       Save results to a Postgres database. Requires config file key "db.uri". Default: "false"
  -json     Print logs to stdout in JSON format instead of human-readable. Default: "false"

OPTIONS:
  -enumerate           Enumerate bucket objects (can be time-consuming). Default: "false"
  -provider    string  Object storage provider: aws, custom, digitalocean, dreamhost, gcp, linode, scaleway - custom requires config file. Default: "aws"
  -threads     int     Number of threads to scan with. Default: "4"

DEBUG:
  -verbose     Enable verbose logging. Default: "false"
  -version     Print version Default: "false"

If config file is required these locations will be searched for config.yml: "." "/etc/s3scanner/" "$HOME/.s3scanner/"

🚀 Support

If you've found this tool useful, please consider donating to support its development. You can find sponsor options on the side of this repo page or in FUNDING.yml

Quick Start

Scan AWS for bucket names listed in a file, enumerate all objects

$ s3scanner -bucket-file names.txt -enumerate

Scan a bucket in GCP, enumerate all objects, and save results to database

$ s3scanner -provider gcp -db -bucket my-bucket -enumerate

Installation

Platform	Version	Steps
Homebrew (MacOS)		brew install s3scanner
Kali Linux		apt install s3scanner
Parrot OS		apt install s3scanner
BlackArch		pacman -S s3scanner
Docker		docker run ghcr.io/sa7mon/s3scanner
Winget (Windows)		winget install s3scanner
Go		go install -v github.com/sa7mon/s3scanner@latest
Other (Build from source)		git clone git@github.com:sa7mon/S3Scanner.git && cd S3Scanner && go build -o s3scanner .

Using

Input

s3scanner requires exactly one type of input: -bucket, -bucket-file, or -mq.

INPUT: (1 required)
  -bucket        string  Name of bucket to check.
  -bucket-file   string  File of bucket names to check.
  -mq                    Connect to RabbitMQ to get buckets. Requires config file key "mq". Default: "false"

-bucket

Scan a single bucket

s3scanner -bucket secret_uploads

-bucket-file

Scans every bucket name listed in file

s3scanner -bucket-file names.txt

where names.txt contains one bucket name per line

$ cat names.txt
bucket123
assets
image-uploads

Bucket names listed multiple times will only be scanned once.

-mq

Connects to a RabbitMQ server and consumes messages containing bucket names to scan.

s3scanner -mq

Messages should be JSON-encoded Bucket objects - refer to mqingest for a Golang publishing example.

-mq requires the mq.uri and mq.queue_name config file keys. See Config File section for example.

Output

OUTPUT:
  -db       Save results to a Postgres database. Requires config file key "db.uri". Default: "false"
  -json     Print logs to stdout in JSON format instead of human-readable. Default: "false"

-db

Saves all scan results to a PostgreSQL database

s3scanner -bucket images -db

• Requires the db.uri config file key. See Config File section for example.
• If using -db, results will also be printed to the console if using -json or the default human-readable output mode.
• s3scanner runs Gorm's Auto Migration feature each time it connects two the database. If the schema already has tables with names Gorm expects, it may change these tables' structure. It is recommended to create a Postgres schema dedicated to s3scanner results.

-json

Instead of outputting scan results to console in human-readable format, output machine-readable JSON.

s3scanner -bucket images -json

This will print one JSON object per line to the console, which can then be piped to jq or other tools that accept JSON input.

Example: Print bucket name and region for all buckets that exist

$ s3scanner -bucket-file names.txt -json | jq -r '. | select(.bucket.exists==1) | [.bucket.name, .bucket.region] | join(" - ")'       
10000 - eu-west-1
10000.pizza - ap-southeast-1
images_staging - us-west-2

Options

OPTIONS:
  -enumerate           Enumerate bucket objects (can be time-consuming). Default: "false"
  -provider    string  Object storage provider: aws, custom, digitalocean, dreamhost, gcp, linode, scaleway - custom requires config file. Default: "aws"
  -threads     int     Number of threads to scan with. Default: "4"

-enumerate

Enumerate all objects stored in bucket. By default, s3scanner will only check permissions of buckets.

s3scanner -bucket attachments -enumerate

• Note: This can take a long time if there are a large number of objects stored.
• When enumerating, s3scanner will request "pages" of 1,000 objects. If there are more than 5,000 pages of objects, it will skip the rest.

-provider

Name of storage provider to use when checking buckets.

s3scanner -bucket assets -provider gcp

• Use "custom" when targeting a currently unsupported or local network storage provider.
• "custom" provider requires config file keys under providers.custom listed in the Config File section.

-threads

Number of threads to scan with.

s3scanner -bucket secret_docs -threads 8

• Increasing threads will increase the number of buckets being scanned simultaneously, but will not speed up object enumeration. Enumeration is currently single-threaded per bucket.

Debug

DEBUG:
  -verbose     Enable verbose logging. Default: "false"
  -version     Print version Default: "false"

-verbose

Enables verbose logging of debug messages. This option will produce a lot of logs and is not recommended to use unless filing a bug report.

s3scanner -bucket spreadsheets -verbose

-version

Print the version info and exit.

s3scanner -version

• Will print dev if compiled from source.

Development

A docker compose file is included which creates 4 containers:

• rabbitmq
• postgres
• app
• mitm

2 profiles are configured:

• dev - Standard development environment
• dev-mitm - Environment configured with mitmproxy for easier observation of HTTP traffic when debugging or adding new providers.

To bring up the dev environment run make dev or make dev-mitm. Drop into the app container with docker exec -it -w /app app_dev sh, then go run . If using the dev-mitm profile, open http://127.0.0.1:8081 in a browser to view and manipulate HTTP calls being made from the app container.

Config File

If using flags that require config options, s3scanner will search for config.yml in:

• (current directory)
• /etc/s3scanner/
• $HOME/.s3scanner/

# Required by -db
db:
  uri: "postgresql://user:pass@db.host.name:5432/schema_name"

# Required by -mq
mq:
  queue_name: "aws"
  uri: "amqp://user:pass@localhost:5672"

# providers.custom required by `-provider custom`
#   address_style - Addressing style used by endpoints.
#     type: string
#     values: "path" or "vhost"
#   endpoint_format - Format of endpoint URLs. Should contain '$REGION' as placeholder for region name
#     type: string
#   insecure - Ignore SSL errors
#     type: boolean
# regions must contain at least one option
providers:
  custom: 
    address_style: "path"
    endpoint_format: "https://$REGION.vultrobjects.com"
    insecure: false
    regions:
      - "ewr1"

When s3scanner parses the config file, it will take the endpoint_format and replace $REGION for all regions listed to create a list of endpoint URLs.

S3 compatible APIs

Note: S3Scanner currently only supports scanning for anonymous user permissions of non-AWS services

📚 More information on non-AWS APIs can be found in the project wiki.

Permissions

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

Possible permissions for buckets:

• Read - List and view all files
• Write - Write files to bucket
• Read ACP - Read all Access Control Policies attached to bucket
• Write ACP - Write Access Control Policies to bucket
• Full Control - All above 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)
• Individual users/groups (out of scope of this tool)

What this means: Just because a bucket doesn't allow reading/writing ACLs doesn't mean you can't read/write files in the bucket. Conversely, you may be able to list ACLs but not read/write to the bucket

License

MIT