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Social Engineering Attack

Phishing is the fraudulent attempt to obtain sensitive information such as usernames, passwords, and credit card details (and money), often for malicious reasons, by disguising as a trustworthy entity in an electronic communication. The purpose of this video tutorial is to show you How hackers hacked any thing by Social Engineering Attack.

Phishing is a cybercrime in which a target or targets are contacted by email, telephone or text message by someone posing as a legitimate institution to lure individuals into providing sensitive data such as personally identifiable information, banking and credit card details, and passwords. The information is then used to access important accounts and can result in identity theft and financial loss.

Kali Linux has many tools for doing social engineering attacks. Setoolkit is the most powerful tool in Kali Linux to do a social engineering attacks over the same and different networks.

Social Engineering over the same network requires the local IP address of your system just like this one 192.168.1.2. Now how you can get your local IP address from your system. To find local IP address just open up your terminal in Linux distribution:

Type: ifconfig wlan0 (if you are using WiFi)
Type: ifconfig eth0 (if you are using eth0)
Type: ifconfig (It display all information about your network)

Now you've another thing to do is that you just have to clone a web page you wanna clone like Facebook, g-mail, twitter etc. Similarly, If you wanna clone a facebook page so for this you just have to type www.facebook.com over your system's terminal for cloning a login page for Social Engineering attack.Still If you don't know how to do that so don't be worry, I did all the process practically in the below just go down and watch it!

How hackers do Social Engineering Attacks. In this video you'll see How to hack Facebook by Phishing attack.Related links

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We are living in the era of fourth industrial revolution(4IR), where Artificial intelligence has a significant role to play. This 4IR technology embedded within societies and even into the human body. From Computer enthusiasts to common people, everyone should be aware and learn this breakthrough technology.

We think about gigantic Robots from Transformers when we hear about Artificial Intelligence(AI) which is a fiction in the past but a fact today, capable of transforming the whole tech world. The field of AI consists of more than Robots such as personal assistants, self-driving cars, apprenticeship learning, behavior cloning and so on. To learn about this advanced technology, thanks to the online learning resources which offers great content to get started with artificial intelligence.

Here are the 5 free e-learning courses on Artificial Intelligence

1. UC Berkeley CS188 Intro to AI

Get started with UC Berkeley AI course, this course is absolutely for beginners who are unaware of Artificial intelligence. It doesn't need any prior computer knowledge to know about AI. UC Berkeley allows anyone to learn this course for free. This course is systematically presented and consists of the following:

Course Schedule
Complete sets of Lecture Slides and Videos
Interface for Electronic Homework Assignments
Section Handouts
Specs for the Pacman Projects
Source files and PDFs of past Berkeley CS188 exams
Form to apply for edX hosted autograders for homework and projects (and more)
Contact information

Aside from this, you can also browse the following courses as well from UC Berkeley that are part of AI course:

Machine Learning: CS189, Stat154
Intro to Data Science: CS194-16
Probability: EE126, Stat134
Optimization: EE127
Cognitive Modeling: CogSci131
Machine Learning Theory: CS281A, CS281B
Vision: CS280
Robotics: CS287
Natural Language Processing: CS288

2. Artificial Intelligence: Principles and Techniques

This course is offered by Stanford with great content that includes topics, videos, assignments, projects, and exams. The whole course mainly focuses on the complex real-world problems and try to find similarity between web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling. Here you will learn the foundational principles of AI and implement some the AI systems. The goal of this course is to help you tackle the real-world situations with the help of AI tools. So, it is the best for the beginner to get started with AI.

3. Learn with GOOGLE AI

Who will dislike the course from Google? absolutely no one. This company is one of the early adopters of AI has a lot to offer to learners. Learn with Google AI is an education platform for people at all experience levels, it is free to access and browse content. The education resources provided by Google is from the machine learning experts of the company. These resources are the collections of lessons, tutorials, and Hands-on exercises that help you start learning, building, and problem-solving.

4. MIT 6.S094: Deep Learning for Self-Driving Cars

This course gives the practical overview of Deep Learning and AI. It is the course for beginners, also for the people who are getting started with Machine Learning. The course also offers a lot of benefits to the experienced and advanced researchers in the field deep learning. This MIT's course takes people into the journey of Deep Learning with the applied theme of building Self-Driving cars. However, the course also offers slides and videos to engage the learners.

5. Fundamentals of Deep Learning for Computer Vision

This course is offered by Nvidia and Nvidia Deep learning Institute. Computer Vision is one of the disciplines of AI that acquire, analyze, process, and understand images. The course is completely free and everyone who is enthusiast about AI can access and learn the course. It is a hands-on course that able to provide basics of deep learning and deployment of neural networks. With this. you will also learn the following:

Identify the ingredients required to start a Deep Learning project.
Train a deep neural network to correctly classify images it has never seen before.
Deploy deep neural networks into applications.
Identify techniques for improving the performance of deep learning applications.
Assess the types of problems that are candidates for deep learning.
Modify neural networks to change their behavior.

What is a Network?

First of all we must have to know about what is a network. So the network is the interconnection of two or more than two devices in such a way that they can communicate each other. In computer networks we can say that the interconnection of two or more than two end devices (computer, laptops, printers etc) for the sake of sending and receiving some amount of data is known as computer network.

What is Internet?

The very simple and easily understandable definition of a internet is "The network of networks". Now what is meant by that? When different networks from the different areas or at the same areas wanna communicate with each other then internet formed. So we can say that "Internet is the interconnection of different networks in such a way that networks can communicate with each other".

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2023年5月31日水曜日

How To Hack Facebook By Social Engineering Attack