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mass3.go

README.md

Quickly enumerate through a pre-compiled list of AWS S3 buckets using DNS instead of HTTP with a list of DNS resolvers and multi-threading. Warning: Be aware that this is really shitty golang code. I wrote it without any prior knowledge of Go Lang but it seems to do the job. Feel free to contribute to make the tool better!

Install

go get -u github.com/smiegles/mass3

Usage

mass3 -w ./lists/buckets.txt -r ./lists/resolvers.txt -t 100

Arguments

argument explanation
-w The wordlist with all the pre-compiled S3 buckets (bucketname.s3.amazonaws.com)
-r List with all the resolvers
-t The amount of threads to use, 10 is default
-o The file path to save the output (This is optional. By default, it will be saved to out.csv)

Building the Docker Image

docker build -t <name> .

Running the Docker Image

docker run -it <name> -w buckets.txt -r resolvers.txt -t 100 -o /tmp/out.csv

Questions & Answers

Q: Why not generate all the "potential" s3 bucket names in the tool?

A: This tool doesn't know the recon you've already collected, for example, subdomains. When you have a huge list of subdomains you can run alt-dns over it and try to find other S3 buckets that might not have a DNS record configured (yet).

Q: The tool returns weird non-existing buckets

A: The tool relies on the lists/resolvers.txt file to be accurate without any "bad" resolvers. You can use fresh.sh to clean up the list of resolvers.

Q: How many threads should I use?

A: Depends on your resources, I personally use 500 threads which seems to work fine for me.

Credits

Credits to @koenrh who created s3enum. I used some parts of his code and the way he identifies if a S3 bucket exists using DNS.

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