Identify public exposure immediately.
Scan for config errors & leaks.
Protect assets before they are found.
In the vast landscape of artificial intelligence, DorkGPT represents a specific evolution of the "Generative Pre-trained Transformer" (GPT) model. Originally a playful experiment in natural language processing, it has evolved into a precision instrument for cybersecurity professionals.
Unlike standard chatbots that simply converse, DorkGPT is fine-tuned to understand the syntax of search engine indexing. It bridges the gap between human intent ("Find me this file") and machine logic (`filetype:pdf`), fundamentally changing how researchers interact with the open web.
You provide a natural language prompt (e.g., "Find hiring pages in India") to the system.
The AI leverages advanced search operators (site:, intitle:, filetype:) to translate your request.
The system generates a precise "Google Dork" string, capable of filtering millions of results down to the exact data points needed.
Experience the DorkGPT logic engine. Enter an organization's domain to see how AI constructs defensive audit queries.
* Queries are generated locally in your browser. No data is sent to our servers.
// Awaiting Input...
// Enter domain to begin scan simulation.
Students use DorkGPT to uncover specific educational resources, such as PDF textbooks or research papers, that are indexed but not ranked on the first page of standard results.
Recruiters use advanced dorks to find resumes or candidates. For example, locating web developers in specific regions.
Google Dorks is the technique of using operators.
DorkGPT is the AI Tool that generates them.
One is the method; the other is the engine that automates the method.
Access the core logic. Use this prompt in any LLM to activate the DorkGPT framework.
Act as a Senior Cybersecurity Analyst conducting a defensive audit.
I will provide you with a target domain or company name. You will generate a list of 10 advanced Google Dork operators designed to identify:
1. Exposed login portals.
2. Publicly accessible PDF or XLS documents containing "confidential" or "internal" keywords.
3. Exposed directory listings.
4. Configuration files (env, log, sql).
Format the output as a code block. Explain the purpose of each query to ensure I understand the security implication. Focus strictly on OSINT and defensive auditing.
| Operator | Function | Audit Use Case |
|---|---|---|
| site: | Limits results to a domain | Narrow audit to specific asset. |
| filetype: | Search specific extensions | Find leaked pdf, xlsx, docx. |
| inurl: | Text inside the URL | Locate admin panels / logins. |
| intitle: | Text inside page title | Find "Index of" directories. |
Emulates the logic of "Google Hacking" techniques in a controlled environment.
Enhances standard Google Search by automating complex query syntax.
Functions similarly to ChatGPT, but optimized for query generation.
Capable of indexing deep web pages and sensitive files.
Dual-use technology: Effective for both defensive auditing and offensive research.
DorkGPT is an AI-powered tool that generates results using "Google Dorks." It uses advanced search operators to search more accurately and deeply compared to normal search results, often uncovering data not immediately visible to the casual user.
It works similarly to ChatGPT. You enter a search prompt (e.g., "Find hiring pages"), and it processes this input to generate a complex Google query using advanced operators, which you then execute to find precise results.
No, DorkGPT is legal. It simply searches for or exposes data that is already indexed by search engines. However, accessing sensitive, password-protected, or private data found via these searches without authorization can be illegal. It should be used ethically.
Yes, it can be used for hacking activities (often called "Google Hacking") as it involves custom queries to find security holes. However, our intent is to use this power for defensive auditing to find and patch these holes before they are exploited.
DorkGPT Framework • 2025 Educational Release • Defensive Security
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