Skip to main content

Google Hacking

 Google Hacking

using Google to fetch confidential information is called Google Hacking. Google dorks can be defined as keywords that can get you confidential information like

  1. Admin panel of web pages
  2. Passwords of premium accounts
  3. Access to confidential information

What's not? Good dorks make your task easy.

Let's discuss some dorks which I found out to be important out of 1000's.

  1. filetype: It is one of the dorks which provides information on the search with the file type you mentioned.
  2. Site: this dork provides the information you wish to see on a particular site
  3. Calc: it provides accurate answers within milliseconds to your mathematical operations
  4. Cache: Retrieves the copy of websites from google servers and presents how it was when google bot crawled.
  5. Obtaining Credit cards information: This dork provides the information of credit card pins. which are saved in the .sql dump file
  6. CCTV: It broadcasts live streaming of CCTVs in various locations.
  7. Weather: These particular dorks get information about temperature in a particular location.

Filters

Descriptions

Site

Searches only in a specific site

Cache

Shows a copy of a website which is crawled by Google bot

Weather

Weather information

inurl

Shows results that contain that given word in it URL

Intext

Returns results that contain the given word anywhere in the title

Link

Returns list of webpages which contain given link

Related

Related websites will be listed

Filetype or ext

File links will be provided for given specific extension

Stocks

Stock

Define

Definitions, acronyms

Location(news)

Search only in the given location

Source(news)

Shows results from given source only

Comments

Post a Comment

Popular posts from this blog

Big Data Analytics Programs

  List of Programs for Big Data Analytics   CLICK ON ME 1.  Implement the following Data structures in Java       a)  Linked Lists            b)   Stacks       c)  Queues     d)   Set            e)   Map 2.  Perform setting up and Installing Hadoop in its three operating modes:      Standalone,     Pseudo distributed,     Fully distributed. 3.  Implement the following file management tasks in Hadoop:    a) Adding files and directories    b) Retrieving files    c) Deleting files 4. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm. 5. Write a Map Reduce program that mines weather data.     Weather sensors collecting data every hour at many locations across the globe gather a large volume of log data, which is a good candidate for analysis with MapReduce since it is semi-structured and record-oriented. 6. Implement Matrix Multiplication with Hadoop Map Reduce 7. Write a MapReduce program to count the occurrence of similar words in a file. Use partitioner to part
Post a Comment
Read more

How to Install Parrot Operating System in Virtual Box using OVA

Step by Step Process of Parrot OS Installation What is Parrot OS Parrot is a free and open-source Linux system based on Debian that is popular among security researchers, security experts, developers, and privacy-conscious users. It comes with cyber security and digital forensics arsenal that is totally portable. It also includes everything you'll need to make your own apps and protect your online privacy. Parrot is offered in Home and Security Editions, as well as a virtual machine and a Docker image, featuring the KDE and Mate desktop environments. Features of Parrot OS The following are some of the features of Parrot OS that set it apart from other Debian distributions: Tor, Tor chat, I2P, Anonsurf, and Zulu Crypt, which are popular among developers, security researchers, and privacy-conscious individuals, are included as pre-installed development, forensics, and anonymity applications. It has a separate "Forensics Mode" that does not mount any of the system's hard
Post a Comment
Read more

LAB

 Big Data Analytics Lab Programs 1.        Implement the following Data structures in Java for Linked Lists 2.    Perform setting up and Installing Hadoop in its three operating modes: Standalone, Pseudo distributed, Fully distributed 3.        Implement the following Data structures in Java for Stack 4.        Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your data 5.        Implement the following Data structures in Java for Queues 6.        Write a MapReduce program to search for a specific keyword in a file 7.        Implement the following Data structures in Java for Set 8.      Write a MapReduce program to count the occurrence of similar words in a file. Use partitioner to partition key based on alphabets 9.        Implement the following Data structures in Java for Map 10.   Implement the following file management tasks in Hadoop: 1. Adding files and directories 2. Retrieving files 3. Deleting files 11.    Run a basic Word Count Map R
Post a Comment
Read more