Metadata Analysis 101: Why You Need ExifTool in 2026
The Art of the Query: A Deep Dive into Google Dorking
While most people use search engines to find the nearest coffee shop or settle a trivia debate, security professionals use them as a surgical instrument. This practice is known as Google Dorking (or Google Hacking).
The term was popularized in 2002 by security researcher Johnny Long. He coined the word "Googledork" to describe a person whose ineptitude in configuring their web server led to the exposure of sensitive information. Long realized that Google’s crawlers were indexing more than just public articles; they were capturing configuration files, password lists, and private administrative portals.
To organize this knowledge, he created the Google Hacking Database (GHDB), which is now maintained by Offensive Security (OffSec). Today, dorking is a foundational skill in Open Source Intelligence (OSINT) and ethical hacking.
Core Operators: The Building Blocks
Before diving into complex strings, you must understand the basic operators that allow you to filter the billions of indexed pages.
| Operator | Function | Example |
|---|---|---|
site: | Limits results to a specific domain or TLD. | site:github.com |
filetype: | Filters results by file extension (pdf, docx, sql). | filetype:log |
intitle: | Searches for specific words in the page title. | intitle:"Index of" |
inurl: | Searches for keywords within the URL path. | inurl:/admin/login |
intext: | Searches for keywords within the body of the page. | intext:"API_KEY" |
cache: | Displays Google's cached version of a page. | cache:example.com |
Google Dorking for Security Audits
During a security audit, the goal is to find "low-hanging fruit"—sensitive files or misconfigurations that an attacker could exploit.
Finding Exposed Directories
The classic "Index of" dork reveals servers where directory listing is enabled, allowing anyone to browse the file structure.
Query:
intitle:"index of" "parent directory"
Hunting for Sensitive Credentials
Configuration files often contain database passwords, API keys, or secret tokens.
- Find Environment Files:
filetype:env "DB_PASSWORD" - Find WordPress Configs:
filetype:php "wp-config.php" "DB_PASSWORD" - Find SQL Backups:
filetype:sql "INSERT INTO" "password"
Locating Log Files
Error logs and access logs can reveal user paths, IP addresses, and sometimes session IDs.
- Query:
filetype:log intext:"password" | intext:"login"
Passive Reconnaissance
Passive reconnaissance is the act of gathering info about a target without ever sending a packet to their server. Google Dorking is the king of this phase.
Subdomain Discovery
By using the site: operator with the minus sign (-), you can discover subdomains you didn't know existed.
Query:
site:*.example.com -www.example.com -shop.example.com(This tells Google: Show me everything under example.com, but hide the main site and the shop.)
Technology Fingerprinting
You can identify the software a target is running by searching for unique file paths or default landing pages.
- Find Jenkins instances:
intitle:"Dashboard [Jenkins]" - Find PHPInfo pages:
ext:php inurl:phpinfo "published by the PHP Group"
Email and Document Harvesting
Uncovering internal documents can provide insights into an organization's structure or naming conventions.
- Query:
site:example.com filetype:pdf | filetype:docx | filetype:xlsx "confidential"
Google Dorking Examples
Here is a specialized collection of Google Dorks tailored for auditing WordPress environments and identifying exposed AWS cloud assets.
WordPress Security Auditing
WordPress is the most popular CMS on the web, making it a frequent target for misconfiguration. These dorks help identify sensitive files and vulnerable plugins.
| Target | Google Dork Query | Purpose |
|---|---|---|
| Config Files | filetype:php "wp-config.php" -github | Finds publicly accessible configuration files containing database credentials. |
| Debug Logs | inurl:/wp-content/ "debug.log" | Locates WordPress error logs which often leak file paths and database query errors. |
| Uploads Folder | site:example.com inurl:/wp-content/uploads/ | Checks if the uploads directory is indexable, exposing user-uploaded documents or images. |
| Plugin Discovery | inurl:/wp-content/plugins/ [plugin-name] | Identifies if a specific (potentially vulnerable) plugin is installed. |
| User Discovery | site:example.com inurl:"/author/" | Enumerates usernames by searching for author archive pages. |
| Database Backups | inurl:wp-content/backups/ | Finds manual or automated database backups stored in the web root. |
AWS & Cloud Infrastructure Recon
Cloud dorking is primarily about finding "leaky" buckets and exposed management consoles. Because cloud URLs follow predictable patterns, they are easy to target.
Finding S3 Buckets Amazon S3 buckets often contain sensitive backups or static assets.
- General Search:
site:s3.amazonaws.com "target-name" - Searching for "Confidential" files:
site:s3.amazonaws.com "target-name" confidential - Looking for specific file types:
site:s3.amazonaws.com filetype:xlsx "salary"
Ethical Boundaries & Prevention
It is important to remember that while Google Dorking is legal (it is just an advanced search), using the information found to access systems without permission is a crime.
How to Protect Your Assets:
- Robots.txt: Use the
Disallowdirective to tell search engines which folders to ignore. - NOINDEX Tags: Add
<meta name="robots" content="noindex">to sensitive pages. - Directory Listings: Disable directory browsing on your web server configuration (e.g.,
Options -Indexesin Apache). - Authentication: Never rely on "security through obscurity." If a file shouldn't be public, it must be behind a login.
Love it? Share this article: