Table of contents
- Introduction
- How it all started..the memorylane of a GenXer
- Google takes the podium
- What is Google Dorking?
- Google Dorking in Cybersecurity Practice
- The Role of Google Dorking in OSINT
- Effective Google Dorking Techniques for Cybersecurity professionals
- Best Practices in Using Google Dorking
- The Ethical Dimension
- List of useful operators
- Basic Operators
- Advanced Operators
- Example 1: Identifying Exposed Configurations
- Example 2: Uncovering Specific Documents
- Example 3: Finding Version Information
- Example 4: Locating Login Pages
- Example 5: Discovering Error Messages
- Example 6: Searching for Employee Contact Information
- Example 7: Finding Exposed Network Devices
- Learn more with GHDB!
- Conclusion
Introduction
In the dynamic landscape of cybersecurity, professionals are constantly seeking tools and techniques to bolster their defense strategies. For SOC Analysts and penetration testers, particularly those engaged in examining attack vectors within organizational applications and conducting reconnaissance using OSINT, mastering Google Dorking is an essential skill. This article delves into the concept of Google Dorking which is the OG application we have in our hands all the time, its relevance for upcoming cybersecurity specialists, and how it can be a game-changer in identifying and mitigating security threats, while it should be a common tool for the cybersecurity specialists. For webdevelopers it is a crucial skill to learn to use it as a free and easy tool to audit their site security and SEO optimization.
How it all started..the memorylane of a GenXer
The AltaVista search engine released in 1995 was the first to introduce advanced search features. AltaVista was a revolutionary search engine that was able to return more relevant results than its predecessors. It did this by using a number of innovative techniques, including:
Full-text indexing: AltaVista was the first search engine to index the entire text of web pages, rather than just their titles and URLs. This allowed it to return more accurate results for complex search queries.
Clustering: AltaVista was able to cluster related web pages together, which made it easier for users to find the information they were looking for.
Backlinks: AltaVista was able to identify backlinks, which are links from one website to another. This was one of the first instances of using link analysis to rank websites.
Google takes the podium
So as we just learned Google Search was not the first search engine to use advanced search features, but it has been the most successful in leveraging these features to provide users with relevant and accurate search results. As for my search engine useage I used Ask Jeeves, Yahoo and Altavista but in the end cave in to Google Search as it was the best and it has been able to do this by:
Continuously improving its algorithms: Google's algorithms are constantly being updated to improve the accuracy of search results. This includes using machine learning to identify and rank websites based on a variety of factors, including the relevance of the content, the authority of the website, and the quality of the backlinks.
Expanding its index: Google Search has the largest index of websites of any search engine, which gives it a wider range of results to choose from. This allows it to provide more relevant results for even the most complex search queries.
Personalizing search results: Google Search is able to personalize search results based on the user's search history and other factors. This makes it more likely that users will find the information they are looking for.
And as it is in the end os 2023 Google search is still sitting on the throne..but the competition is getting hot again with BING picking up the pace with OpenAIs ChatGPT addition. Hopefully this race will make these tools even better and intuitive to use in the future.
What is Google Dorking?
Google Dorking, or Google hacking, involves using advanced search operators in Google to uncover hidden information and security loopholes within websites and applications. This technique exploits Google's powerful search engine capabilities to filter out precise information, making it a critical skill for cybersecurity professionals.
Google Dorking in Cybersecurity Practice
Identifying Vulnerabilities
Google Dorking can reveal exposed server directories, error messages disclosing sensitive information, and misconfigured websites. For example, using filetype:log
might reveal server logs that contain sensitive information.
Enhancing Penetration Testing
Penetration testers can use Google Dorking to gather intelligence about their target. For instance, site:
example.com
filetype:pdf
could reveal internal documents that provide insights into an organization's internal structure.
Staying Ahead of Attackers
Attackers often use Google Dorking to identify easy targets. Therefore, cybersecurity professionals must be adept at these techniques to think one step ahead, identifying what information about their organization is publicly accessible and could be potentially exploited.
The Role of Google Dorking in OSINT
Targeted Information Gathering
Google Dorking allows cybersecurity experts to rapidly locate specific information, be it technical details about a website, exposed confidential documents, or insights into security systems.
Identifying Vulnerabilities
By using specific dorks, such as filetype:log
or inurl:admin
, security professionals can uncover potential vulnerabilities in web applications and infrastructures, such as exposed log files or admin panels.
Competitor Analysis
Google Dorking can provide insights into competitors' online footprints, helping organizations to understand their cybersecurity postures and identify industry best practices or gaps.
Effective Google Dorking Techniques for Cybersecurity professionals
Basic Dorks for Initial Reconnaissance
site:
to explore a particular domain.filetype:
to find specific file types that may contain sensitive information.intext:
andintitle:
to locate specific text within pages or titles.
Advanced Dorks for In-Depth Analysis
cache:
to view the cached version of web pages.allintitle:
andallinurl:
for detailed searches in titles and URLs.link:
to find pages linking to specific domains, which can reveal how information is interconnected.
Real-World Scenarios
Discovering Exposed Data:
site:
example.com
filetype:pdf "confidential"
Uncovering Login Portals:
inurl:admin intitle:login
Finding Error Messages:
site:
example.com
intext:"database error"
Best Practices in Using Google Dorking
Ethical Use: Always conduct Google Dorking within legal and ethical boundaries.
Continuous Learning: The effectiveness of dorks changes over time, so it's crucial to stay updated.
Combining Techniques: Use a combination of basic and advanced dorks for comprehensive analysis.
Documentation: Keep a record of your dorks and findings for future reference and analysis. If you want to learn about note taking take a look at my post: MasteringThe Art of Effective Note-taking
The Ethical Dimension
While Google Dorking is a powerful tool, it comes with the responsibility of ethical usage. Cybersecurity professionals should use it to strengthen security, not to exploit vulnerabilities unethically. It's crucial to stay within legal boundaries and organizational policies. Do not use it to harm or invade the privacy of others. Always respect the terms of service of the websites you are searching.
List of useful operators
Basic Operators
site: - Searches only within a specified site.
Example:site:
example.com
" " (Quotation Marks) - Searches for the exact phrase.
Example:"exact phrase"
OR - Searches for pages with either of two terms.
Example:apple OR orange
AND - Ensures both terms appear in search results.
Example:apple AND orange
- (Minus Sign) - Excludes terms or sites from the search.
Example:apple -site:
wikipedia.org
filetype: - Searches for specific file types.
Example:filetype:pdf
intitle: - Finds pages with a word in the title.
Example:intitle:"password"
inurl: - Locates URLs containing a keyword.
Example:inurl:admin
intext: - Searches for pages containing the word in the text.
Example:intext:"confidential"
AROUND(X): - Finds words near each other.
Example:"apple" AROUND(5) "iphone"
weather: - Shows weather for a location.
Example:weather:Berlin
stocks: - Displays stock information.
Example:stocks:GOOGL
define: - Provides definitions.
Example:define:philosophy
cache: - Shows Google's cached version of a site.
Example:cache:
hashnode.com
related: - Displays related websites.
Example:related:
example.com
info: - Shows information about a page.
Example:info:
example.com
link: - Finds pages linking to a URL.
Example:link:
example.com
( ) (Parentheses) - Groups terms or operators.
Example:(apple OR orange) AND juice
Advanced Operators
allintitle: - Finds pages with all words in title.
Example:allintitle:security report
allinurl: - Finds pages with all words in URL.
Example:allinurl:profile login
allintext: - Searches for pages with all words in text.
Example:allintext:privacy policy
daterange: - Finds results within dates.
Example:daterange:2458134-2458150
- daterange operator in Google Dorking is used to find results within specific date ranges. However, the example provided uses Julian dates, which might not be immediately intuitive. So in order to use this you have to convert your dates to Julian dates.
source: - Used in Google News for specific sources.
Example:source:"The New York Times"
inanchor: - Searches in anchor text of links.
Example:inanchor:"click here"
allinanchor: - All specified words in anchor text.
Example:allinanchor:best phone deals
ip: - Searches for sites on a specific IP.
Example:ip:000.000.0.0
location: - In Google News for location-based articles.
Example:location:Norway
before: / after: - Searches before or after a date.
Example:apple after:2020-01-01
numrange: - Finds results within a number range.
Example:camera $50..$100
inposttitle: - In Google Blog search for title words.
Example:inposttitle:recipe
allinposttitle: - All specified words in blog title.
Example:allinposttitle:apple pie recipe
movie: - Information about specific movies.
Example:movie:Inception
ext: - Searches for a particular file extension.
Example:ext:doc
map: - Finds location-related info.
Example:map:Estonia
stock: - Searches for stock information.
Example:stock:NOKIA
book: - Searches for books by title, author, or ISBN.
Example:book:The Hobbit
author: - Used in Google Books to find books by a specific author.
Example:author:"J.K. Rowling"
This list comprehensively covers the most useful Google search operators, both basic and advanced, providing a useful guide for enhancing search efficiency and effectiveness on Google.
Example 1: Identifying Exposed Configurations
Objective: To find exposed configuration files on a specific domain.
Dork:
site:
example.com
filetype:xml intext:password
Explanation: This dork searches for XML files on
example.com
that contain the word "password". It's useful for identifying potentially exposed configuration files that might include sensitive information.
Example 2: Uncovering Specific Documents
Objective: To locate internal policy documents from a particular organization.
Dork:
site:
example.org
filetype:pdf intitle:"internal policy"
Explanation: This dork helps in finding PDF documents titled "internal policy" on the
example.org
domain, potentially revealing internal guidelines or procedures.
Example 3: Finding Version Information
Objective: To discover web pages that reveal software version information, which can be useful for identifying vulnerabilities.
Dork:
site:
example.com
inurl:about intext:"version"
Explanation: Targets pages on
example.com
that contain version information, often found in URLs with "about". This can reveal what software versions a site is running, which is valuable for vulnerability assessment.
Example 4: Locating Login Pages
Objective: To find login portals that might be targets for penetration testing.
Dork:
site:
example.com
inurl:login | inurl:signin intitle:"login"
Explanation: Searches for login or signin pages within
example.com
. This dork is useful for penetration testers aiming to assess the security of authentication pages.
Example 5: Discovering Error Messages
Objective: To identify pages that display database or server error messages.
Dork:
site:
example.com
intext:"database error" | intext:"server error"
Explanation: Finds pages on
example.com
that contain specific error messages. These can be indicators of misconfigurations or vulnerabilities.
Example 6: Searching for Employee Contact Information
Objective: To gather publicly available contact information of employees for social engineering assessments.
Dork:
site:
example.com
intitle:"contact" intext:"email" | intext:"phone"
Explanation: This dork helps in finding contact pages with email or phone information on
example.com
, which is useful in social engineering reconnaissance.
Example 7: Finding Exposed Network Devices
Objective: To locate network devices like printers or cameras that are exposed online.
Dork:
inurl:"webcam" | inurl:"printer" intitle:"network camera"
Explanation: Aims to find webcams or printers exposed online, which can be a security risk if unsecured.
These examples demonstrate the power of combining Google Dorks for targeted searches. However, it's important to use these techniques ethically and legally, particularly in a professional cybersecurity context.
Learn more with GHDB!
The Google Hacking Database (GHDB) on Exploit Database is a comprehensive resource for cybersecurity professionals and learners. It's an indexed collection of Internet search engine queries, primarily Google, designed to find sensitive, often inadvertently exposed information. Initially developed by Johnny Long, GHDB now includes a variety of queries for other search engines and repositories like Bing and GitHub. This database is invaluable for professionals in cybersecurity, penetration testing, and OSINT, offering a wide range of categorized dorks to uncover vulnerabilities, sensitive data, and other critical security information.
For more detailed information and access to the database, you can visit Exploit Database's Google Hacking Database.
Conclusion
For aspiring cybersecurity specialists and professionals alike, mastering Google Dorking is not just an added advantage but a necessity. It provides a non-intrusive, cost-effective method to uncover and mitigate potential security threats. In the ever-evolving realm of cybersecurity, staying informed and skilled in these techniques is pivotal in safeguarding digital assets.
Note: This article is intended for educational purposes and should be used as a guide to understanding and improving cybersecurity practices through legal and ethical means.