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Introduction:
Bug bounty hunters are constantly seeking an edge to find private, invitation-only programs that offer higher rewards and less competition. A specific Google search operator, or “dork,” can be leveraged to uncover web assets managed by Bugcrowd that are not publicly listed on their main directory. This technique demonstrates the power of open-source intelligence (OSINT) in a cybersecurity context.
Learning Objectives:
- Understand the function and construction of the Bugcrowd discovery dork.
- Learn how to integrate this dork into a proactive reconnaissance workflow.
- Identify the ethical and responsible use of such techniques within bug bounty scope.
You Should Know:
1. Deconstructing the Discovery Dork
The core command for this technique is a Google search query:
`intext:”Powered by Bugcrowd” -site:bugcrowd.com`
This dork is a string used in a search engine to find specific, unindexed information. The `intext:”Powered by Bugcrowd”` component instructs Google to only return pages containing that exact text string, which is a common footer on Bugcrowd-managed program pages. The `-site:bugcrowd.com` part is a modifier that excludes all results from the primary Bugcrowd.com domain, effectively filtering out the public program list and leaving only external, potentially private assets.
2. Integrating Dorks into a Reconnaissance Workflow
Manual searching is just the beginning. To scale this technique, integrate it into automated reconnaissance tools. One powerful method is using `gau` (GetAllUrls) combined with grep:
`gau –subs example.com | grep “Powered by Bugcrowd”`
This two-part command first uses `gau` to fetch all known URLs for `example.com` from various sources. The pipe (|) sends this output to grep, which then filters and displays only the lines containing the phrase “Powered by Bugcrowd”. This allows you to quickly check if a specific target uses Bugcrowd’s infrastructure without manual browsing.
3. Validating Program Scope and Access
Finding a program does not grant authorization to test it. Ethical testing requires explicit permission. Use `whois` or `curl` to gather information about the target domain and cross-reference it with the official program scope.
`whois target-domain.com`
`curl -I https://target-domain.com`
The `whois` command provides registration details, which can help identify the organization owner. The `curl -I` command fetches only the HTTP headers of the target, which can reveal server information and, crucially, the presence of a `robots.txt` file that might contain rules about allowed/disallowed paths for scanners.
4. Advanced Dorking for Broader Discovery
Expand on the basic dork to find other bug bounty platforms or specific vulnerability types. For instance, to find programs on HackerOne:
`intext:”Report a vulnerability” inurl:hackerone.com -site:hackerone.com`
Similarly, to search for potentially exposed Apache server status pages, you could use:
`inurl:server-status “Apache Status”`
These dorks work on the same principle: using unique text or URL patterns to find resources that search engines have indexed but are not part of a main directory.
5. Automating with GitHub Code Search
The provided GitHub link (https://github.com/KrazePlanet/KrazePlanetTraining/tree/main/Day1) highlights the importance of code repositories in reconnaissance. You can use GitHub’s code search to find references to bug bounty programs within source code.
`github.com/search?q=org%3ACompanyName+”bugcrowd”&type=code`
This search query, when used on GitHub’s website, looks within the “CompanyName” organization’s repositories for any code or configuration files containing the string “bugcrowd”. This can sometimes reveal API keys, program details, or other sensitive information accidentally committed to a repository.
6. Setting Up a Local Dork Database
For efficiency, maintain a text file of useful dorks and integrate them into a shell script for periodic execution.
`!/bin/bash`
`echo “Starting dork scan…”`
`for dork in $(cat dorks.txt); do`
` echo “Testing: $dork”`
` googler –count 3 “$dork” >> results.txt`
`done`
This simple Bash script reads each dork from a file named dorks.txt, uses the `googler` command-line tool to run the search, and appends the top 3 results to a `results.txt` file. This automates the initial discovery phase, allowing you to review a consolidated list of potential targets.
7. Ethical and Legal Commandments
The most critical “command” in bug hunting is ethical conduct. Always verify the program’s policy. Use `curl` to check for a `security.txt` file, which is a standard for defining security policies.
`curl -s https://target-domain.com/.well-known/security.txt | head -n 5`
This command fetches the `security.txt` file (if it exists) and displays the first five lines. This file should contain the contact information for reporting vulnerabilities and link to the official security policy, which outlines the scope and rules of engagement. Testing outside of this scope is unauthorized and illegal.
What Undercode Say:
- OSINT is a legitimate superpower in cybersecurity, but it is not a license to hack. The line between reconnaissance and intrusion is defined by authorization and scope.
- Automation is essential for scaling security research, but it must be coupled with meticulous manual verification to avoid false positives and respect rate limits.
The dork shared by Bhagirath S. is a quintessential example of a low-tech, high-impact OSINT technique. It requires no sophisticated tools, yet it efficiently filters the entire indexed web for a high-value signal. However, the real skill lies not in the discovery itself, but in the subsequent steps: ethical validation, scope adherence, and effective vulnerability testing. The community’s focus should remain on developing these holistic skills, ensuring that the power of such dorks is harnessed responsibly to improve security for all, rather than for unauthorized exploitation. The provided GitHub link further underscores that this knowledge is part of a broader, structured learning path in offensive security.
Prediction:
The use of advanced Google dorks and automated OSINT scraping will become increasingly integrated into the standard reconnaissance phase of both red team and bug bounty operations. In response, organizations and bug bounty platforms will likely develop more sophisticated counter-measures, such as dynamically generated footers, stricter `robots.txt` directives, and increased use of non-indexed staging environments. This will create an ongoing cat-and-mouse game, pushing security researchers towards even more creative methods of discovery, such as analyzing certificate transparency logs and passive DNS data, to maintain their edge.
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IT/Security Reporter URL:
Reported By: Rix4uni Bugbounty – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
