اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
CyberSecurity & AI Experts
رفتن به کانال در Telegram
🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun
نمایش بیشتر📈 تحلیل کانال تلگرام CyberSecurity & AI Experts
کانال CyberSecurity & AI Experts (@ethicalhackingtoday) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 42 119 مشترک است و جایگاه 3 183 را در دسته فناوری و برنامهها و رتبه 9 187 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 42 119 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 02 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 338 و در ۲۴ ساعت گذشته برابر 23 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.04% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.41% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 279 بازدید دریافت میکند. در اولین روز معمولاً 595 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند git, |--, cybersecurity, linux, attack تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“🔰 Ethical Hacking and Cyber Security Official Telegram Channel
🔰 Free content to learn Hacking & AI
For promotions: @coderfun”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 03 ژوئیه, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
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| 5 | 🌐 SSL/TLS & HTTPS Explained (How Secure Websites Work)
Whenever you visit a website that starts with:
https:// 🔒
your browser is using TLS (Transport Layer Security) to create a secure connection.
Note: The term SSL is still commonly used, but modern secure websites use TLS, which replaced older SSL versions.
🧠 What is HTTPS?
HTTPS (HyperText Transfer Protocol Secure) is the secure version of HTTP.
It protects data exchanged between:
Your Browser ↔ Website Server
With HTTPS:
✅ Data is encrypted
✅ Data can't be easily read if intercepted
✅ The website's identity can be verified
🔐 What is TLS?
TLS is the security protocol that provides:
Encryption, Authentication, Data integrity
It protects information such as:
Passwords, Credit card numbers, Personal information, Banking transactions
🔄 How HTTPS Works
Step 1️⃣
You open: https://example.com
Step 2️⃣
The server sends its digital certificate.
The certificate helps your browser verify that it is communicating with the intended website.
Step 3️⃣
Your browser verifies the certificate.
If it is valid: ✅ Secure connection continues.
If not: ⚠️ The browser displays a security warning.
Step 4️⃣
The browser and server securely establish encryption keys using asymmetric encryption.
Step 5️⃣
After the secure connection is established, symmetric encryption is used for the rest of the communication because it is much faster.
🔒 Why Browsers Show the Lock Icon
The 🔒 icon usually indicates that:
The connection is encrypted.
The website presented a valid certificate.
It does not guarantee that the website itself is trustworthy or free from scams.
🌍 Real-Life Example
When you log into: Gmail, Amazon, Your bank
TLS helps protect your: Username, Password, Personal information during transmission.
📜 What is a Digital Certificate?
A digital certificate contains information such as:
Website domain, Public key, Certificate issuer, Expiration date
Your browser uses it to help verify the server's identity.
🛡️ Why HTTPS is Important
Without HTTPS:
❌ Information could be intercepted more easily.
With HTTPS:
✅ Communication is encrypted. ✅ Data integrity is protected. ✅ Identity verification is supported.
📝 Quick Task
Visit three websites.
For each one:
1. Check if it uses HTTPS.
2. Click the 🔒 icon in your browser.
3. View the certificate information if your browser provides it.
Observe: Who issued the certificate? When does it expire?
💡 Easy Trick to Remember
HTTP = Communication only 📄
HTTPS = Communication + Encryption 🔒
TLS = The technology that secures HTTPS 🌐
🚀 Pro Tip
Nearly every secure online service—including banking, e-commerce, cloud platforms, and messaging—relies on TLS. Understanding how HTTPS works is a fundamental skill for anyone pursuing cybersecurity.
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| 7 | 🔑 Symmetric vs Asymmetric Encryption Explained
Encryption is mainly divided into two types:
1. Symmetric Encryption
2. Asymmetric Encryption
The biggest difference is how encryption keys are used.
🔐 1️⃣ Symmetric Encryption
👉 Uses one single key for both encryption and decryption.
Plain Text
↓
Encrypt with Secret Key
↓
Cipher Text
↓
Decrypt with Same Secret Key
↓
Original Data
Example
Alice encrypts a file using a secret key.
Bob uses the same key to decrypt it.
Both must know the same secret key.
✅ Advantages
Very fast
Efficient for large amounts of data
Low computational cost
❌ Disadvantages
Securely sharing the secret key is difficult.
If the key is stolen, anyone with the key can decrypt the data.
🌍 Real-Life Uses
Disk encryption
File encryption
Database encryption
VPN data encryption
🔓 2️⃣ Asymmetric Encryption
👉 Uses two different keys:
Public Key 🔓 can be shared
Private Key 🔒 kept secret
Plain Text
↓
Encrypt with Public Key
↓
Cipher Text
↓
Decrypt with Private Key
↓
Original Data
Only the matching private key can decrypt data encrypted with the public key.
🎯 Real-Life Example
Imagine you have a mailbox:
Anyone can drop a letter into it Public Key.
Only you have the key to open it Private Key.
This is the basic idea behind asymmetric encryption.
✅ Advantages
No need to share a secret key.
More secure for exchanging information over the internet.
Supports digital signatures.
❌ Disadvantages
Slower than symmetric encryption.
Requires more computing power.
📊 Symmetric vs Asymmetric
Feature: Symmetric, Asymmetric
Keys Used: One key, Public and Private keys
Speed: Fast ⚡, Slower 🐢
Security: Depends on secret key, Strong key exchange
Best For: Large data encryption, Secure communication and key exchange
🌍 Where Are They Used?
Symmetric Encryption
Encrypting hard drives
Encrypting files
VPN traffic
Database encryption
Asymmetric Encryption
HTTPS websites
Digital certificates
Secure email
SSH authentication
🔒 How HTTPS Uses Both
When you visit a secure website:
1. Asymmetric encryption securely exchanges a session key.
2. Symmetric encryption protects the rest of the communication because it's much faster.
👉 This combination gives both security and performance.
🛡️ Cybersecurity Importance
Understanding these concepts helps explain:
SSL or TLS
VPNs
Secure messaging
Digital certificates
Public Key Infrastructure PKI
These are core technologies used across modern cybersecurity.
📝 Quick Task
Identify which type of encryption is mainly used in these situations:
1. Encrypting a large backup file
2. Securely exchanging keys over the internet
3. HTTPS website connection
4. Encrypting data stored on a laptop
💡 Easy Trick to Remember
Symmetric = Same key to lock and unlock 🔑
Asymmetric = Public key locks, Private key unlocks 🔐
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| 9 | 🔒 Encryption vs Hashing Explained
One of the most common cyber security interview questions is:
👉 What is the difference between Encryption and Hashing?
Although both protect data, they serve different purposes.
🔐 What is Encryption?
Encryption converts readable data plaintext into unreadable data ciphertext using an encryption key.
👉 The original data can be recovered using the correct decryption key.
Example
Original text: Password123
After encryption: 8X#pL9@qW2!
Using the correct key, it can be decrypted back to: Password123
🔑 Where Encryption is Used
✅ HTTPS websites
✅ Online banking
✅ UPI payments
✅ VPN connections
✅ Secure emails
✅ Cloud storage
#️⃣ What is Hashing?
Hashing converts data into a fixed-length hash value.
👉 Unlike encryption, hashing is one-way.
You cannot recover the original data from the hash.
Example
Input: Password123
Hash illustrative example: 5e884898...
The hash is used for comparison, not for recovering the password.
🔥 Where Hashing is Used
✅ Password storage
✅ File integrity verification
✅ Digital signatures
✅ Blockchain
✅ Data verification
🧠 Real-Life Example
Imagine you create an account on a website.
Without Hashing ❌
Database stores: Password123
If the database is compromised, your password is exposed.
With Hashing ✅
Database stores only the password's hash.
When you log in:
✅ You enter your password.
✅ The website hashes it.
✅ It compares the new hash with the stored hash.
✅ If they match, login succeeds.
Your actual password is never stored in plain text.
📊 Encryption vs Hashing
Feature Encryption Hashing
Reversible ✅ Yes ❌ No
Uses Key ✅ Yes ❌ No
Purpose Protect confidentiality Verify integrity & store passwords
Original Data Recoverable Yes No
🛡️ Cybersecurity Importance
Encryption protects:
✅ Communication
✅ Files
✅ Messages
✅ Transactions
Hashing protects:
✅ Passwords
✅ Software downloads
✅ Digital signatures
✅ File integrity
Both are essential in modern cybersecurity.
🌍 Everyday Examples
✅ WhatsApp messages → Encrypted
✅ Banking transactions → Encrypted
✅ Website passwords → Hashed
✅ Software checksum verification → Hashed
📝 Quick Task
Think about these examples and identify whether they use Encryption or Hashing:
✅ Logging into your email account
✅ Visiting an HTTPS website
✅ Downloading software and checking its checksum
✅ Sending money through an online banking app
💡 Easy Trick to Remember
✅ Encryption = Hide data, then recover it later
✅ Hashing = Create a unique fingerprint that cannot be reversed
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| 12 | Starting with coding is a fantastic foundation for a tech career. As you grow your skills, you might explore various areas depending on your interests and goals:
• Web Development: If you enjoy building websites and web applications, diving into web development could be your next step. You can specialize in front-end (HTML, CSS, JavaScript) or back-end (Python, Java, Node.js) development, or become a full-stack developer.
• Mobile App Development: If you're excited about creating apps for smartphones and tablets, you might explore mobile development. Learn Swift for iOS or Kotlin for Android, or use cross-platform tools like Flutter or React Native.
• Data Science and Analysis: If analyzing and interpreting data intrigues you, focusing on data science or data analysis could be your path. You'll use languages like Python or R and tools like Pandas, NumPy, and SQL.
• Game Development: If you’re passionate about creating games, you might explore game development. Languages like C# with Unity or C++ with Unreal Engine are popular choices in this field.
• Cybersecurity: If you're interested in protecting systems from threats, diving into cybersecurity could be a great fit. Learn about ethical hacking, penetration testing, and security protocols.
• Software Engineering: If you enjoy designing and building complex software systems, focusing on software engineering might be your calling. This involves writing code, but also planning, testing, and maintaining software.
• Automation and Scripting: If you're interested in making repetitive tasks easier, scripting and automation could be a good path. Python, Bash, and PowerShell are popular for writing scripts to automate tasks.
• Artificial Intelligence and Machine Learning: If you're fascinated by creating systems that learn and adapt, exploring AI and machine learning could be your next step. You’ll work with algorithms, data, and models to create intelligent systems.
Regardless of the path you choose, the key is to keep coding, learning, and challenging yourself with new projects. Each step forward will deepen your understanding and open new opportunities in the tech world. | 1 043 |
| 13 |  💻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 | 𝟱 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗦𝗤𝗟 🚀
Want to become a Data Analyst, Data Scientist, or Software Engineer? Start by mastering SQL—one of the most in-demand skills in the tech industry!
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| 14 |  🚀 𝗡𝗩𝗜𝗗𝗜𝗔 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗔𝗜 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀
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| 15 | ✅ 🔤 A–Z of Web Development
A – API (Application Programming Interface)
Allows communication between different software systems.
B – Backend
The server-side logic and database operations of a web app.
C – CSS (Cascading Style Sheets)
Used to style and layout HTML elements.
D – DOM (Document Object Model)
Tree structure representation of web pages used by JavaScript.
E – Express.js
Minimal Node.js framework for building backend applications.
F – Frontend
Client-side part users interact with (HTML, CSS, JS).
G – Git
Version control system to track changes in code.
H – Hosting
Making your website or app available online.
I – IDE (Integrated Development Environment)
Software used to write and manage code (e.g., VS Code).
J – JavaScript
Scripting language that adds interactivity to websites.
K – Keywords
Important for SEO and also used in programming languages.
L – Lighthouse
Tool for testing website performance and accessibility.
M – MongoDB
NoSQL database often used in full-stack apps.
N – Node.js
JavaScript runtime for server-side development.
O – OAuth
Protocol for secure authorization and login.
P – PHP
Server-side language used in platforms like WordPress.
Q – Query Parameters
Used in URLs to send data to the server.
R – React
JavaScript library for building user interfaces.
S – SEO (Search Engine Optimization)
Improving site visibility on search engines.
T – TypeScript
A superset of JavaScript with static typing.
U – UI (User Interface)
Visual part of an app that users interact with.
V – Vue.js
Progressive JavaScript framework for building UIs.
W – Webpack
Module bundler for optimizing web assets.
X – XML
Markup language used for data sharing and transport.
Y – Yarn
JavaScript package manager alternative to npm.
Z – Z-index
CSS property to control element stacking on the page.
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| 16 |  𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
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| 17 |  📊 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱! 🚀
Want to start a career in Data Analytics but don't know where to begin?
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| 18 |  📊 𝗙𝗥𝗘𝗘 𝗧𝗮𝘁𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 | 𝗪𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 🚀
Here's an amazing opportunity to complete the FREE Tata Data Analytics Virtual Internship and earn a certificate that you can showcase on your Resume and LinkedIn.
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| 19 | 7 Best Small Language Models Under 10B Parameters in 2026
1. IBM Granite 4.1 8B
With industry-leading coding performance and a massive context window, Granite 4.1 8B is built for enterprise applications, RAG systems, and tool-calling workflows.
🔗 Click Here: https://huggingface.co/ibm-granite/granite-4.1-8b-instruct
2. Qwen3.5-9B
One of the strongest reasoning models under 10B parameters, Qwen3.5-9B excels in multilingual tasks, science QA, and advanced problem-solving.
🔗 Click Here: https://huggingface.co/Qwen/Qwen3.5-9B-Instruct
3. Gemma 4 E4B
Google's Gemma 4 E4B is optimized for AI agents, tool calling, and edge deployment, delivering powerful performance with minimal hardware requirements.
🔗 Click Here: https://huggingface.co/google/gemma-4-e4b-it
4. Qwen3-8B
A proven favorite for developers, Qwen3-8B offers excellent code generation capabilities and supports more than 29 languages.
🔗 Click Here: https://huggingface.co/Qwen/Qwen3-8B
5. DeepSeek-R1-Distill-Qwen-7B
Built for mathematical reasoning and logical thinking, this compact model delivers exceptional step-by-step problem-solving performance.
🔗 Click Here: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
6. Phi-4-mini
Microsoft's Phi-4-mini packs impressive AI capabilities into just 3.8B parameters, making it ideal for laptops and low-resource environments.
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7. Llama 3.1 8B Instruct
Llama 3.1 8B remains one of the most versatile open-source models, backed by a massive ecosystem of fine-tunes and community support.
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