# [s3recon](https://s3recon.readthedocs.io/en/latest/)
[](https://pypi.org/project/s3recon/)
[](https://pypi.org/project/s3recon/)
[](https://pepy.tech/project/s3recon)
[](https://s3recon.readthedocs.io/en/latest/?badge=latest)
Amazon S3 bucket finder and crawler.
[Check out the s3recon docs](https://s3recon.readthedocs.io/en/latest/)
## Installation
> **NOTE**: s3recon requires python version **>=3.6**
```bash
$ pip install s3recon
```
## Usage
```text
usage: s3recon [-h] [-o file] [-d] [-p] [-t seconds] [-v] [-c num] word_list [word_list ...]
positional arguments:
word_list read words from one or more files
optional arguments:
-h, --help show this help message and exit
-o file, --output file write output to
-d, --db write output to database
-p, --public only include 'public' buckets in the output
-t seconds, --timeout seconds http request timeout in (default: 30)
-v, --version show program's version number and exit
-c num, --concurrency num maximum of concurrent requests (default: # of lcpus)
```
## Example 1: Output to a json file
#### 1. Download a word-list.
The [SecLists](https://github.com/clarketm/s3recon/edit/master/README.md) repository has a multitude of word-lists to choose from. For this example, let's download the sample word-list included in this repository.
```bash
$ curl -sSfL -o "word-list.txt" "https://raw.githubusercontent.com/clarketm/s3recon/master/data/words.txt"
```
#### 2. Run `s3recon`.
Execute `s3recon` using the `word-list.txt` file and output the `public` S3 buckets to a json file named `results.json`.
```bash
$ s3recon "word-list.txt" -o "results.json" --public
- PRIVATE https://s3.sa-east-1.amazonaws.com/test-lyft
- PRIVATE https://s3.ap-south-1.amazonaws.com/test.amazon
+ PUBLIC https://walmart-dev.s3.us-east-1.amazonaws.com
- PRIVATE https://s3.ap-southeast-1.amazonaws.com/apple-prod
- PRIVATE https://walmart.s3.ap-southeast-1.amazonaws.com
...
```
#### 3. Inspect the results.
Check the `results.json` output file to view the S3 buckets you have discovered!
```bash
$ cat "results.json"
```
```json
{
"public": {
"total": 12,
"hits": [
"https://walmart-dev.s3.us-east-1.amazonaws.com",
"https://apple-production.s3.ap-southeast-1.amazonaws.com",
...
]
}
}
```
> **Note:** to include `private` buckets in the results omit the `-p, --public` flag from the command.
#### 4. Crawl the results.
Enumerate the static files located in each bucket and record the findings.
> Coming soon!
## Example 2: Output to a MongoDB database
#### 1. Download a word-list.
The [SecLists](https://github.com/clarketm/s3recon/edit/master/README.md) repository has a multitude of word-lists to choose from. For this example, let's download the sample word-list included in this repository.
```bash
$ curl -sSfL -o "word-list.txt" "https://raw.githubusercontent.com/clarketm/s3recon/master/data/words.txt"
```
#### 2. Start an instance of MongoDB
```text
$ docker run --name "mongo" -p 27017:27017 -v "mongodb_data:/data/db" -v "mongodb_config:/data/configdb" -d mongo
```
#### 3. Run `s3recon`.
Execute `s3recon` using the `word-list.txt` file and output to MongoDB instance.
```bash
$ s3recon "word-list.txt" --db
- PRIVATE https://s3.sa-east-1.amazonaws.com/test-lyft
- PRIVATE https://s3.ap-south-1.amazonaws.com/test.amazon
+ PUBLIC https://walmart-dev.s3.us-east-1.amazonaws.com
- PRIVATE https://s3.ap-southeast-1.amazonaws.com/apple-prod
- PRIVATE https://walmart.s3.ap-southeast-1.amazonaws.com
...
```
#### 3. Inspect the results.
Check the MongoDB database: `s3recon` collection: `hits` to view the S3 buckets you have discovered!
```bash
$ mongo "s3recon" --quiet --eval 'db.hits.find({}, {"url": 1, "access": 1, "_id": 0}).limit(5)'
```
```json
{ "url" : "https://s3.us-east-2.amazonaws.com/apple", "access" : "private" }
{ "url" : "https://s3.us-west-1.amazonaws.com/microsoft-dev", "access" : "private" }
{ "url" : "https://s3.us-west-1.amazonaws.com/dev-microsoft", "access" : "private" }
{ "url" : "https://s3.us-east-2.amazonaws.com/amazon", "access" : "private" }
{ "url" : "https://s3.us-east-1.amazonaws.com/dev-amazon", "access" : "private" }
```
#### 4. Crawl the results.
Enumerate the static files located in each bucket and record the findings.
> Coming soon!
## FAQ
#### Q: How do I configure this utility?
#### A:
`s3recon` can be configure using a yaml configuration file located in either the current working directory (e.g. `./s3recon.yml`) or your home diretory (e.g. `~/s3recon.yml`).
The following is the list of configurable values:
```yaml
# s3recon.yml
database: { host: "0.0.0.0", ... }
separators: ["-", "_", "."]
environments: ["", "backup", "backups", ...]
regions: ["ap-northeast-1", "ap-northeast-2", ...]
```
> To see the full list of configurable values (and their **defaults**) please refer to the [s3recon.yml](https://github.com/clarketm/s3recon/blob/master/s3recon/s3recon.yml) file in this repository.
#### Q: How do I customize the AWS regions used in the recon?
#### A:
The AWS *regions* can be altered by setting the `regions` array in your `s3recon.yml` configuration file.
```yaml
# s3recon.yml
regions: [ "us-west-2", ...]
```
#### Q: How do I customize the environment values used in the recon?
#### A:
The *environments* are modifiers permuted with each item of the *word-list* (and the *separator*) to construct the bucket value in request.
The value can be altered by setting the `environments` array in your `s3recon.yml` configuration file.
For example, to only search lines from the word-list *verbatim* (i.e. without modification) you can set this value to an empty array.
```yaml
# s3recon.yml
environments: []
```
#### Q: How do I customize the MongoDB host and port?
#### A:
The database *host* and *port* can be configured by altering the `database` map in your `s3recon.yml` configuration file.
For example, `host` and `port` can be set directly inside the `database` map
```yaml
# s3recon.yml
database: {
host: "0.0.0.0",
port: 27017
}
```
#### Q: How do I use a database other than MongoDB?
#### A:
Sorry, at the moment only MongoDB is supported.
## Going Forward
- [ ] Create `crawl` command to crawl public/private buckets found in `find` stage.
- [ ] Separate out `find` and `crawl` as subcommands.
- [x] Store discovered buckets in a NoSQL database.
## Disclaimer
This tools is distributed for educational and security purposes. I take no responsibility and assume no liability for the manner in which this tool is used.
## License
MIT © [**Travis Clarke**](https://blog.travismclarke.com/)