CouchDB comes with a standard HTTP-based API, which allows interacting with the database by means of HTTP requests. The document store, or BBRF server, is a central document-oriented database running on CouchDB. To achieve the desired functionality, BBRF was designed as two separate components: the BBRF server, in the form of a central document store, and the BBRF client in the form of a Python script. In particular, I was longing to be able to run commands like: bbrf domains and bbrf ips to list my data, and sublist3r.py | bbrf domain add - to store my results. To overcome this problem in an attempt to be more structured, I started implementing bbrf, which in the first place had to be a command-line tool allowing me to easily list all domains and IPs belonging to a project, and to store domains and IPs for later use. In other words, I would use tools for their specific purpose, interpret and use the output manually, and move on to the next one. In particular, managing the output of different tools and combining them to enrich each other was cumbersome enough that I kept on using tools on an ad-hoc basis. My biggest struggle when working with this growing variety of tools was always: being organized. ffuf) or successfully combine a lot of submodules into one big framework (e.g. massdns), try to be amazing all-rounders (e.g. Whereas five years ago, subdomain bruteforcing with fierce was all the recon I could muster, the community today has access to an abundance of very good tools that either specialize in very specific tasks (e.g. When it comes to reconnaissance, or “recon”, in bug bounty hunting, it is clear that there is a lot of tooling available.
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If you’ve stumbled on this article looking to get started with BBRF immediately, head over to the GitHub repo right away! If you’re interested to learn more about what it is (and what it ain’t), feel free to continue reading below. In this article, I want to introduce the solution I have designed to address some of those headaches, hoping that it may prove useful to you in some way. Like anyone involved in bug bounty hunting, I have encountered a number of challenges in organizing my reconnaissance data over the years. Now head over to the GitHub repository fore more information and get started! in Uncategorized | 371 Words | Comment Introducing BBRF: yet another Bug Bounty Reconnaissance FrameworkĪn example use case of bbrf, here integrating with subfinder from projectdiscovery. a Slack or Discord channel with a webhook URL to send alerts to.a registered domain name, preferably one you won’t mind typing hundreds of times a day, so you may want to consider getting a short one.Getting a working copy should be reasonably straightforward, but do make you have the following in place:
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Send notifications to Slack and/or Discord webhooks.Continue receiving notifications for weeks or months on end to find more bugs Monitor DNS and HTTP requests in real-time without time window constraints.
With WILSON you can setup your own fully functional web and DNS servers with transparent logging of all incoming DNS and HTTP requests to a Slack or Discord channel.
WILSON Cloud Respwnder is a Web Interaction Logger Sending Out Notifications (WILSON). I’m happy to introduce my solution today. To address those needs I created a setup with a self-hosted DNS server and an NGINX web server which I have been running for over two years. Moreover, in many cases I wanted to not only point an application to a random URL, but to a specific file under my control. However, I found that I sometimes wanted to keep receiving notifications of potential interactions long after I closed Burp for the day or killed my Interactsh sessions. More recently, Projectdiscovery.io have come up with their alternative Interactsh which achieves the same goals. If you’re a Burp Suite user, you’ll be familiar with Burp Collaborator: a service that allows you to monitor out-of-band interactions to a remote server, which can indicate a potential security vulnerability.
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