Firebase exploiting tool is exploiting misconfigured firebase databases.

Disclaimer: The provided software is meant for educational purposes only. Use this at your own discretion, the creator cannot be held responsible for any damages caused. Please, use responsibly!


Non-standard python modules:

  • dnsdumpster
  • bs4
  • requests

Also Read The Android Application Developer Guide: Converting an iOS App to Android

Firebase Installation

If the following commands run successfully, you are ready to use the script:

git clone
cd firebase
pip install -r requirements.txt


python3 [-h] [--dnsdumpster] [-d /path/to/file.htm] [-o results.json] [-l /path/to/file] [-c 100] [-p 4]


    -h      Show the help message
    -d      Absolute path to the downloaded HTML file.
    -o      Output file name. Default: results.json
    -c      Crawl for domains in the top-1m by Alexa. Set how many domains to crawl, for example: 100. Up to 1000000
    -p      How many processes to execute. Default: 1
    -l      Path to a file containing the DBs to crawl. One DB name per line. This option can't be used with -d or -c
    --dnsdumpster       Use the DNSDumpster API to gather DBs
    --just-v    Ignore "non-vulnerable" DBs
    --amass Path of the output file of an amass scan ([-o] argument)

Example: python3 -p 4 -f results_1.json -c 150 --dnsdumpster This will lookup the first 150 domains in the Alexa file aswell as the DBs provided by DNSDumpster. The results will be saved to results_1.json and the whole script will execute using 4 parallel processes

The script will create a json file containing the gathered vulnerable databases and their dumped contents. Each database has a status:

  • -2: DB doesn’t exists
  • -1: means it’s not vulnerable
  • 0: further explotation may be possible
  • 1: vulnerable

For a better results head to and in its subdomain scanner introduce the following domain: Once the scan has finished, save the page HTML(CRL+S) and use the -d [path] argument, this will allow the script to analyze the subdomains discovered by that service. Further subdomain crawlers might get supported.

Now we support the amass scanner by @caffix! By running any desired scann with that tool against using the -o argument, the script will be able to digest the output file and crawl for the discovered DBs.

Firebase DBs work using this structure: https://[DB name] If you are using the -l [path] argument, the supplied file needs to contain a [DB name] per line, for example:


Using that file will check for these DBs:,,