Sunday, April 27, 2025

How Do Hackers Steal Passwords? 5 Common Methods & Your Security Checklist

 

Stop the Sneak Thieves!

Understanding How Hackers Try to Steal Your Passwords

Cybersecurity

Learn how the bad guys try to snatch them and how to keep them safe!

Have you ever stopped to think about how someone might actually steal your password? It sounds like something out of a spy movie, but unfortunately, it's a very real and common threat. In fact, according to reports from IBM, stolen passwords are the number one way attackers get into systems. The good news is, by understanding their methods, you can significantly boost your own defence.

This blog post, drawing on insights from a video by IBM Technology, will break down five common ways hackers try to get your passwords.

Don’t worry, we’re not giving away any secret hacker knowledge the bad guys already know this stuff! Our goal is to empower you, the "good guys," with the knowledge you need to stay safe.

The Sneaky Five

How Hackers Try to Crack Your Code

Let's dive into the five key methods discussed in the video:

Guessing Games: Sometimes It’s Just a Shot in the Dark

Imagine a burglar simply trying every key they have in the lock. That's essentially what password guessing is. The attacker tries to log in using common passwords or information they might know about you. This could be anything from your pet's name to obvious sequences like "123456".

1. Where do they get their guesses?

  • Imagination or basic knowledge: They might just take a wild stab based on common sense or what they know about you.
  • Sticky notes and visible clues: Believe it or not, hackers sometimes rely on people writing down their passwords on sticky notes near their computers the video refers to these collections as the "PC sunflower".
  • Password databases from past breaches: When websites or services get hacked, their password lists sometimes end up online. Attackers can use these massive lists of real passwords to try on other systems.

Luckily, most systems have a built-in defence against simple guessing “the three-strikes-and-you’re-out rule”. After a few failed login attempts, your account usually gets locked, preventing endless guessing. This is why simply guessing isn’t usually a very effective method for attackers unless they get very lucky or have some good clues.

2. Password Harvesting: When They Already Know (or Think They Do)

This method is more sophisticated than just guessing because the attacker aims to obtain your actual password without having to guess. There are a couple of common ways this happens.

  • Malware - The Silent Spy: Imagine a tiny program secretly recording everything you type on your computer, including your passwords. This type of malicious software is called a “keylogger” or an information stealer. The hacker then collects this information, giving them your passwords directly. This is why keeping your devices free from malware is crucial.
  • Phishing - The Fake Website Trap: Have you ever received an email that looked like it was from your bank or a social media site, asking you to log in? This could be a phishing attack. The email directs you to a fake website that looks very similar to the real one. When you enter your username and password on this fake site, you’re actually handing your credentials directly to the attacker.

In both these harvesting scenarios, the attacker doesn't need to guess – they've effectively tricked you or your computer into giving them the keys to your accounts.

3. Password Cracking: Decoding the Digital Vault

Most websites and apps don’t store your password in plain text. Instead, they use a process called hashing, which turns your password into a scrambled code. This means that even if a hacker breaks into a system and steals the password database, they won’t see your actual password. However, resourceful attackers have ways to try and figure out the original password through a process called cracking.

  • How does cracking work? Since hashing is a one-way process (it can’t be easily reversed), attackers try to “back their way” into discovering your password. They do this by:
    I . Using lists of common passwords: They take publicly available lists of frequently used passwords or password dictionaries.
    II. Applying the same hashing process: They take a password from their list, hash it using the same method as the hacked system, and then compare the resulting code to the stolen hashed passwords.
    III. Checking for a match: If the codes match, they know the original password, even though they never "broke" the encryption.
    IV. Brute force (the last resort): In a more time-consuming approach, they might try every possible combination of characters until they find a match.

So, while they can't directly reverse the hashing, they can try enough guesses and comparisons to potentially uncover the original passwords.

4. Password Spraying: One Key, Many Doors

Imagine a master key that an attacker tries on multiple doors within the same building. That’s the idea behind password spraying. Instead of trying many different passwords on one account (which would likely trigger the three-strikes rule), the attacker takes a “Single, Common Password” and tries it on many different user accounts within the same system.

  • Why does this work? People often reuse the same passwords across multiple accounts. So, a password that was exposed in a previous data breach elsewhere might still work for someone on a different system.
  • The advantage for the attacker: By only trying one password per account, they can avoid triggering account lockouts and stay under the radar. They don’t need to get into every account; they just need to find one that uses that common password.

5. Credential Stuffing: Spreading the Net Wider

Credential stuffing is very similar to password spraying, but instead of focusing on multiple accounts within a single system, the attacker takes a known username and password combination (often obtained from previous data breaches) and tries it across many different websites and services.

  • The logic: Just like people reuse passwords, they often reuse usernames (like their email address) as well. If a hacker has a list of usernames and passwords from one hacked site, there’s a good chance some of those combinations will work on other sites too.
  • Harder to detect: This type of attack can be even harder to spot because the login attempts are spread across different systems, and the security teams for each individual system might not see the bigger picture.

Fortifying Your Digital Castle: How to Stay Safe

Now for the most important part: what can you do to protect yourself from these attacks?

Let’s focus on what you can do for prevention.

  • Build Strong Walls (Password Strength): When creating passwords, aim for a good level of complexity and, more importantly, “length”. Longer passwords are generally much harder to crack than shorter, complex ones.
  • Avoid the Known Weaknesses: When choosing a password, make sure it doesn’t appear on lists of known vulnerable passwords (many systems will check this for you).
  • Different Keys for Different Doors (Unique Passwords): Try your best to use a unique password for every website and service you use. This means that if one account is compromised, the attackers won’t automatically have access to all your other accounts.
  • Your Digital Bodyguard (Password Managers): Password managers are tools that can generate strong, unique passwords for you and securely store them, so you don’t have to remember them all. They can significantly reduce your risk of reusing passwords.
  • Double the Locks (Multi-Factor Authentication - MFA): Don’t rely on just a password. Enable multi-factor authentication whenever possible. This adds an extra layer of security, often requiring a code from your phone or a biometric scan (like your fingerprint or face ID) in addition to your password. This means even if an attacker steals your password, they likely won’t be able to log in without that second factor.
  • Consider the Ultimate Key (Passkeys): Use “passkeys” as a more secure alternative to passwords. These are based on cryptography and offer a stronger form of authentication. If you have the option, consider using passkeys.
  • Guard the Gate (Be Wary of Phishing): Always be suspicious of emails or messages asking you to log in to your accounts, especially if they seem urgent or unexpected. Double-check the website address to make sure it’s legitimate before entering your credentials.
  • Keep Your System Clean (Avoid Malware): Install and regularly update antivirus and anti-malware software on your devices to protect against keyloggers and other malicious programs.

Stay Vigilant, Stay Secure

Understanding how hackers try to steal your passwords is the first step towards protecting yourself in the digital world. By implementing strong password practices, using password managers and multi-factor authentication, and staying vigilant against phishing and malware, you can significantly reduce your risk of becoming a victim. Remember, making life harder for the bad guys is the goal! Stay safe out there!

Wednesday, February 26, 2025

ChatGPT Prompt Engineering free Course for Developers

ChatGPT Prompt Engineering for Developers by DeepLearning.AI


Prompt Engineering free Course 

Master the art of crafting prompts and build cutting-edge applications with this free DeepLearning.AI course.

Are you ready to harness the potential of Large Language Models (LLMs) and build powerful AI applications in record time? The "ChatGPT Prompt Engineering for Developers" course, offered by DeepLearning.AI in partnership with OpenAI, is your gateway to mastering this transformative technology.

Why Prompt Engineering Matters

Generative AI offers opportunities for AI engineers to build powerful applications, and this course will share the best practices to enable more people to take advantage of these new capabilities.

This course will equip you with the skills to use LLMs and the OpenAI API to build capabilities that can innovate and create value.

What You'll Learn

This beginner-friendly course requires only a basic understanding of Python but is also suitable for advanced machine learning engineers. Led by experts Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, this course dives into the practical aspects of prompt engineering, teaching you how to:

The course emphasizes hands-on experience, allowing you to experiment with numerous examples directly within a Jupyter notebook environment.

Course Structure

The ChatGPT Prompt Engineering for Developers course is structured into nine lessons, complete with video explanations and code examples:

Enroll for Free!

Don't miss this opportunity to learn from the best and gain a competitive edge in the world of AI. Course access is free for a limited time during the DeepLearning.AI learning platform beta.

Sunday, February 23, 2025

AI for Beginners Free Microsoft Course to Learn Artificial Intelligence from Scratch

AI for Beginners Free Course by Microsoft

Your Gateway to the World of Artificial Intelligence

AI for Beginners from Microsoft
AI for Beginners by Microsoft 

Artificial Intelligence (AI) is transforming the world at an unprecedented pace. From self-driving cars to smart assistants, AI is everywhere. But how can you get started in this exciting field? If you're a beginner eager to learn AI from scratch, Microsoft’s "AI for Beginners" course is the perfect place to start!

Why Learn AI?

AI is no longer just a futuristic concept it’s a part of our daily lives. Businesses, healthcare, finance, and even entertainment industries rely on AI-driven solutions. Whether you’re a student, a professional looking to upskill, or just an AI enthusiast, learning AI can open doors to numerous opportunities.

What is AI for Beginners?

AI for Beginners is a free, open-source course designed by Microsoft to provide a hands-on introduction to AI concepts. It’s a structured, easy-to-follow program that covers everything from basic AI principles to building your own AI models.

Course Overview

This course consists of 12 lessons, each packed with theory, coding exercises, and real-world applications. Here’s what you’ll learn:

1. Introduction to AI

  • Understanding what AI is and how it works.
  • Real-world applications of AI.
  • Ethics and responsible AI

2. Machine Learning Fundamentals

3. Regression and Classification

  • Building predictive models
  • Understanding how AI makes decisions

4. Neural Networks & Deep Learning

5. Natural Language Processing (NLP)

6. Computer Vision

  • Teaching AI to recognize images and objects
  • Applications in facial recognition, self-driving cars, and more

7. AI Ethics & Responsible AI

8. Building Your Own AI Model

  • Hands-on project: Create a working AI model from scratch!

Why Choose This Course?

  • Beginner-Friendly – No prior AI knowledge is required.
  • Hands-On Learning – Learn by doing with interactive coding exercises.
  • Real-World Projects – Work on practical AI applications.
  • Free & Open-Source – Learn at your own pace without any cost.
  • Microsoft Expertise – Learn from industry leaders.

Who Should Take This Course?

Students & Beginners – Start your AI journey with structured learning.

Developers & Programmers – Learn how to integrate AI into your projects.

Tech Enthusiasts – Understand AI and how it impacts the world.

Business Professionals – Leverage AI for better decision-making.

How to Enroll?

The course is available for free at Microsoft AI for Beginners. All you need is a curiosity for AI and a willingness to learn!

Take the First Step in AI Today!

Artificial Intelligence is shaping the future, and you can be a part of it. Don’t miss the chance to gain AI skills and unlock new career opportunities. Start learning AI today with Microsoft’s "AI for Beginners" course and step into the world of AI!


Learn Generative AI for Free: Google Cloud's Beginner Course

Generative AI with Google Cloud's Free Learning Path


Are you ready to dive into the world of Generative AI? Google Cloud is offering a free, beginner-friendly learning path to equip you with the knowledge and skills you need.

This comprehensive program covers everything from the fundamentals of large language models to responsible AI principles. Whether you're a tech enthusiast or just curious about AI, this is your chance to get started.

What you'll learn:

https://www.cloudskillsboost.google/paths/118/course_templates/536
Introduction to Generative AI 

Understand what Generative AI is, its applications, and how it stands apart from traditional machine learning.
Introduction to LLMs

Explore LLMs, their use cases, and how to optimize their performance with prompt tuning.

Introduction to Responsible AI
Introduction to Responsible AI

Learn about the importance of responsible AI and Google's AI principles.

Prompt Design 

Develop skills in prompt engineering, image analysis, and multimodal generative techniques within Vertex AI.

AI Principles 

Learn how to implement responsible AI practices in enterprise AI and Machine Learning.

Why you should enroll:

  • Free of charge: Access high-quality learning content without any cost.
  • Beginner-friendly: No prior AI experience is required.
  • Comprehensive curriculum: Covers a wide range of essential Generative AI topics.
  • Practical skills: Gain hands-on experience with prompt engineering and AI tools.
  • Google Cloud expertise: Learn from the experts at Google Cloud.

Don't miss out on this opportunity to explore the exciting field of Generative AI. Enroll in the "Beginner: Introduction to Generative AI Learning Path" today and start your AI journey with Google Cloud!

Wednesday, February 12, 2025

What is the Dark Web?

 

What is the Dark Web?

Journey into the Internet’s Hidden Depths



Have you ever heard whispers about a hidden part of the internet, a place where anonymity reigns supreme and secrets are traded? This clandestine realm, often shrouded in myth and misconception, is known as the “Dark Web.” While it might sound intimidating, understanding the Dark Web is crucial in today’s digital age.
Let’s shed light on this enigmatic corner of the internet, exploring its inner workings, purpose, and the technology that makes it possible.

Beyond the Surface

Unraveling the Internet’s Layers

To grasp the concept of the Dark Web, we need to visualize the internet as an iceberg.

The Surface Web

The part we interact with daily, is merely the tip, a small fraction of the vast digital landscape. This includes websites easily accessible through search engines like Google, Bing, or Yahoo. It encompasses everything from social media platforms like Facebook and Instagram to news outlets like CNN and BBC, and e-commerce giants like Amazon and eBay.

Deep Web

Beneath the surface lies the Deep Web, comprising a vast majority of the internet, roughly 95%. This hidden portion consists of content that is not indexed by search engines. This includes private forums, online banking accounts, cloud storage services, academic databases, and internal company networks. Access to the Deep Web typically requires passwords or specific permissions, making it inaccessible to the general public. The content within the Deep Web is not inherently illegal or malicious, it’s simply private and not intended for public consumption.

Dark Web

Now, delve deeper into the depths of the iceberg, and we encounter the “Dark Web”. This is a small, intentionally hidden portion of the internet that requires special software to access. Unlike the Deep Web, whose content is simply not indexed, the Dark Web is deliberately concealed from conventional search engines and browsers.

The Gateway to Anonymity

Entering the Realm of Tor

The primary tool used to access the Dark Web is the “Tor browser”, short for “The Onion Router’’. Developed as an open-source project initially funded by the US Department of Defense, Tor was designed to provide a secure and anonymous way to communicate online. Today, it is maintained by the non-profit organization, the Electronic Frontier Foundation, and serves as a vital tool for privacy advocates, journalists, activists, and those seeking anonymity online.

The name “Onion Router” aptly describes how Tor works. Imagine your internet traffic as a piece of data traveling through multiple layers of an onion. Tor anonymizes internet traffic by routing it through a network of volunteer-operated servers, known as nodes.

Here’s how the process unfolds:

  1. Entry Node: Your internet traffic enters the Tor network through an entry node, the first layer of the onion.
  2. Middle Nodes: The traffic then bounces through a series of middle nodes, each layer of the onion adding encryption and further obscuring the origin of the data.
  3. Exit Node: Finally, the traffic exits the network through an exit node, the outer layer of the onion, and reaches its destination.

This multi-layered encryption makes it extremely difficult to trace the origin or destination of internet activity, providing a high level of anonymity for users.

The Two Sides of the Coin

The Dual Nature of the Dark Web

The Dark Web, like any tool, can be used for both good and bad purposes. Its anonymity provides a platform for a range of activities, some beneficial, others illicit.

Positive Applications of the Dark Web

  • Whistleblowing: The Dark Web provides a secure platform for whistleblowers to expose corruption or wrongdoing without fear of reprisal. They can share sensitive information with journalists or organizations anonymously, ensuring their safety and protecting their identities.
  • Journalism: Investigative journalists working in repressive regimes can use the Dark Web to communicate securely with sources, protecting both themselves and the individuals providing information. This allows them to report on sensitive topics without compromising the safety of those involved.
  • Political Activism: In countries where freedom of speech is restricted, the Dark Web offers a haven for political dissidents and activists. They can organize, communicate, and disseminate information without fear of government surveillance or censorship.

Negative Aspects of the Dark Web

  • Illegal Marketplaces: The anonymity provided by the Dark Web facilitates the operation of illicit marketplaces where users can buy and sell illegal goods and services. This includes drugs, weapons, stolen data, counterfeit documents, and hacking tools.
  • Cybercrime: The Dark Web serves as a breeding ground for cybercriminals, providing a platform for them to exchange stolen credentials, malware, exploits, and engage in other illegal activities.

It's important to note that the Dark Web is not inherently illegal. However, many activities conducted within this space are illicit, making it a risky environment to navigate.

Navigating the Dark Web

Risks and Precautions

Venturing into the Dark Web can be akin to exploring a dangerous neighborhood. While there may be legitimate reasons to access this hidden realm, it's crucial to be aware of the risks involved and take necessary precautions.

Potential Risks

Malware: The Dark Web is teeming with malware, malicious software designed to damage or disable computer systems, steal personal information, or spy on user activity. Even visiting a seemingly harmless website on the Dark Web can lead to malware infection.
Phishing Attacks: Cybercriminals often use phishing attacks on the Dark Web to trick users into revealing sensitive information, such as passwords, credit card details, or social security numbers. These attacks may appear as legitimate websites or emails, but their ultimate goal is to steal your personal data.
Compromised Nodes: While Tor provides anonymity, there’s always a risk of encountering a compromised node, a server within the Tor network that has been hijacked by malicious actors. A compromised exit node, for instance, could potentially monitor traffic and expose user activity.
Limited Anonymity: Anonymity on the Dark Web is not absolute. While Tor masks your IP address and location, your online activity can still be traced if you are not careful. Mistakes like logging into personal accounts or revealing identifying information can compromise your anonymity.
Legal Ramifications: Accessing certain parts of the Dark Web, particularly those involved in illegal activities, may be illegal in some countries.

Precautions to Consider

|| Security Sandbox: Consider running the Tor browser within a security sandbox, an isolated environment on your computer that prevents malware from spreading to your main system. This way, even if you encounter malicious software, it will be contained within the sandbox and cannot harm your device.
|| Virtual Private Network (VPN): Using a VPN in conjunction with Tor adds an extra layer of security and encryption. A VPN encrypts your internet traffic and routes it through a secure server, masking your IP address and location. This makes it even more difficult for anyone to track your online activity.
|| Firewall: A firewall acts as a barrier between your computer and the internet, monitoring incoming and outgoing traffic and blocking any unauthorized connections. Using a firewall helps protect your device from malware and other cyber threats.
|| Stay Informed: Knowledge is your best defense. Stay updated on the latest security threats, vulnerabilities, and best practices for navigating the Dark Web. Regularly research and learn about potential risks and how to mitigate them.

A Realm of Shadows and Potential

The Dark Web is a fascinating and complex aspect of the internet. It offers a unique glimpse into a world where anonymity reigns supreme, enabling both acts of altruism and illicit activities.

While it can be a valuable tool for whistleblowers, journalists, and activists seeking to protect their identities and communicate freely, it is also a haven for cybercrime and illegal trade.

Understanding the Dark Web's functionality, its potential benefits, and its inherent risks is crucial for anyone considering venturing into its depths.

Remember, knowledge is power. Arm yourself with information, exercise caution, and navigate the Dark Web responsibly.

How to Get £7,000/Year with the Newcastle University Vice-Chancellor’s Scholarship 2027

Newcastle University Vice-Chancellor’s International Scholarship 2027: Complete Overview, Eligibility & Application Guide Newcast...