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CyberSecurity & AI Experts

CyberSecurity & AI Experts

Kanalga Telegram’da o‘tish

🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun

Ko'proq ko'rsatish

📈 Telegram kanali CyberSecurity & AI Experts analitikasi

CyberSecurity & AI Experts (@ethicalhackingtoday) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 43 394 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 030-o'rinni va Hindiston mintaqasida 8 648-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 43 394 obunachiga ega bo‘ldi.

02 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 483 ga, so‘nggi 24 soatda esa -4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.05% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.42% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 757 marta ko‘riladi; birinchi sutkada odatda 618 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent git, |--, cybersecurity, linux, attack kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun

Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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🛡️🔥 Cybersecurity Terms Every Beginner Should Know — Part 2 Here are 20 more important terms every aspiring cybersecurity professional should understand: 1. Attack Surface 🎯 — All the possible entry points an attacker could target. 2. Zero-Day ⚠️ — A previously unknown vulnerability that may be exploited before a fix is available. 3. Botnet 🤖 — A network of compromised devices controlled by an attacker. 4. Brute Force 🔓 — Trying many possible passwords or credentials until one works. 5. Credential Stuffing 🔑 — Using stolen username-password combinations against other services. 6. Social Engineering 🎭 — Manipulating people into revealing information or taking unsafe actions. 7. Spear Phishing 🎣 — A targeted phishing attack designed for a specific person or organization. 8. Trojan 🐴 — Malware disguised as legitimate software or a legitimate file. 9. Worm 🪱 — Malware capable of spreading automatically between systems. 10. Spyware 👁️ — Software designed to secretly monitor or collect information. 11. Rootkit 🥷 — Malicious software or techniques designed to hide activity while maintaining privileged access. 12. Backdoor 🚪 — A hidden or unauthorized method of accessing a system. 13. Payload 📦 — The part of an attack that performs the intended action. 14. Patch 🔧 — An update that fixes bugs or security vulnerabilities. 15. Penetration Testing 🕵️ — Authorized testing used to identify and validate security weaknesses. 16. Threat Intelligence 🧠 — Information about cyber threats that helps organizations make better security decisions. 17. EDR 💻 — Endpoint Detection and Response technology used to monitor and investigate endpoint threats. 18. WAF 🌐 — Web Application Firewall that helps protect web applications from malicious traffic. 19. SIEM 📊 — A platform that collects and analyzes security logs and events. 20. Threat Actor 🎭 — An individual or group capable of carrying out malicious cyber activity. 💡 Double Tap ❤️ For More ----- 1.35 ₽ · /balance_help
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🛡️🐧 5 Linux Commands Every Cybersecurity Beginner Should Know whoami — identify the current user 👤 ss — view network connections and listening ports 🌐 ps — inspect running processes ⚙️ grep — search logs and files for specific patterns 🔎 chmod — manage file permissions 🔐 💡 These commands are especially useful for security monitoring, troubleshooting, log analysis, and understanding Linux systems. Save this. More cybersecurity guides coming soon. ❤️
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5 Linux commands every cybersecurity beginner should know 🐧🛡️ 1. ls — list files 2. cd — navigate directories 3. pwd — show current location 4. grep — search text 5. chmod — change permissions Save this. More cybersecurity guides coming soon. ❤️
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𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁—𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜😍 Curriculum
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁—𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜😍 Curriculum designed and taught by alumni from IITs & leading tech companies. 🏆 Placement Highlights:- 💰 ₹41 LPA highest salary 📈 ₹7.4 LPA average salary 🎓 2,000+ students placed 🏢 500+ partner companies 🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:- https://pdlink.in/3SuUeuD ⚡ Take the first step toward your dream tech career today!
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🚀 𝗪𝗶𝗽𝗿𝗼 𝗘𝗹𝗶𝘁𝗲 𝗡𝗧𝗛 & 𝗧𝘂𝗿𝗯𝗼 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗞𝗶𝘁 💻🔥 Get access to a FREE interview preparati
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For suspicious URLs, use appropriate security-analysis services or isolated environments rather than opening them directly. 🧠 Step 8: Identify Social Engineering Look beyond technical indicators. Ask: What emotion is the email trying to create? Common tactics include: Fear 😨 Urgency ⏰ Curiosity 👀 Authority 👔 Greed 💰  Example:  "Your payroll account requires immediate verification." The attacker wants you to react before thinking. 🚨 Step 9: Create a Phishing Detection Workflow Your workflow can be: Email Received       ↓ Check Sender       ↓ Inspect Headers       ↓ Check SPF/DKIM/DMARC       ↓ Inspect Links       ↓ Check Attachments       ↓ Analyze Social Engineering       ↓ Determine Risk       ↓ Report / Quarantine  📋 Step 10: Create a Phishing Investigation Report Use this structure: Incident: Suspicious Email Investigation  Sender: [Sender]  Subject: [Subject]  Date/Time: [Timestamp]  Indicators:  • Suspicious sender  • Suspicious URL  • Authentication failure  • Urgent request  SPF: [Result]  DKIM: [Result]  DMARC: [Result]  Risk: Low / Medium / High  Conclusion: [Legitimate / Suspicious / Phishing]  Recommended Action: [Block / Report / Delete / Investigate]  🎯 Mini Challenge Find 5 safe sample phishing emails from security-awareness training resources. For each one: ✅ Identify the social-engineering tactic. ✅ Check the sender information. ✅ Identify suspicious links or attachments. ✅ Examine available authentication results. ✅ Decide whether the message is legitimate or suspicious. ✅ Document your reasoning.  🛡️ Real-World SOC Scenario Imagine an employee reports:  "I received an email saying my Microsoft account will be disabled." A SOC analyst might: 1. Examine the sender.  2. Inspect email headers.  3. Check SPF/DKIM/DMARC.  4. Analyze the URL.  5. Search security intelligence for indicators.  6. Determine whether other employees received the same message.  7. Block or quarantine confirmed malicious indicators.  8. Alert affected users.  That's how a simple phishing report can become a real SOC investigation. 💡 Easy Trick to Remember STOP → CHECK → VERIFY → REPORT 🛑 Don't react immediately. 🔍 Check the details. ✅ Verify through an independent channel. 🚨 Report suspicious messages.  👉 Double Tap ❤️ For More
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📧🛡️ Project 9: Build a Phishing Detection & Email Security Lab Now you'll build a practical project around one of the most common cybersecurity threats: phishing. The goal isn't to create phishing emails. Instead, you'll learn how security analysts identify suspicious messages, analyze evidence, and decide whether an email is legitimate or malicious. ⚠️ Use only sample emails, your own test mailbox, or authorized training material. 🎯 Project Objective By completing this project, you'll learn how to: Identify phishing indicators Analyze email headers Inspect suspicious URLs safely Understand SPF, DKIM, and DMARC Detect social-engineering techniques Create a phishing investigation report 🧠 Step 1: Understand the Phishing Workflow A typical phishing attack may look like: Attacker ↓ Fake Email ↓ Victim ↓ Malicious Link / Attachment ↓ Credential Theft / Malware ↓ Account or System Compromise Your job as a security analyst is to break this chain. 🔍 Step 2: Learn the Warning Signs Look for: 🚨 Urgency "Your account will be suspended today!" 🎣 Suspicious Links The displayed text may not match the actual destination. 👤 Impersonation The sender may pretend to be: Bank HR IT department CEO Delivery company 📎 Unexpected Attachments Especially files you weren't expecting. 💰 Financial Requests Unexpected requests for: Money transfers Gift cards Bank details Payment information 📧 Step 3: Analyze Email Headers Email headers contain technical information about how an email was delivered. Look for: Sender information Recipient information Mail servers Timestamps Authentication results Many email clients provide an option such as: "Show original" or "View source." 🔐 Step 4: Understand SPF SPF (Sender Policy Framework) helps a domain specify which mail servers are authorized to send email on its behalf. Conceptually: Email claims: "I am from example.com" ↓ SPF Check ↓ Is the sending server authorized? ↓ Pass / Fail 🔏 Step 5: Understand DKIM DKIM (DomainKeys Identified Mail) adds a cryptographic signature to outgoing email. The receiving mail system can verify the signature. This helps detect unauthorized modification and supports domain-level email authentication. 🛡️ Step 6: Understand DMARC DMARC (Domain-based Message Authentication, Reporting & Conformance) builds on SPF and DKIM. It allows domain owners to specify how receiving mail systems should handle messages that fail authentication checks. Possible policies include: Monitor Quarantine Reject 🔥 SPF vs DKIM vs DMARC Technology - Main Purpose SPF - Verifies authorized sending servers DKIM - Verifies cryptographic email signatures DMARC - Defines policy and improves domain protection Together, they provide stronger email authentication. 🔗 Step 7: Inspect Links Safely Never blindly click a suspicious link. Instead, inspect the destination carefully. Ask: Does the domain match the claimed organization? Is there a suspicious spelling variation? Is the URL unusually long? Does the link use a URL shortener? Is the destination unexpected?
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🚀 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 🔥 Upgrade your skills and prepare
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☁️ 𝟰 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗕𝘂𝗶𝗹𝗱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 Explore these Go
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