CyberSecurity & AI Experts
🔰 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.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 03 Sentabr | 0 | |||
| 02 Sentabr | +1 | |||
| 01 Sentabr | +7 |
| 2 | 🛡️🔥 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
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| 4 | 🛡️🔥 20 Cybersecurity Terms Every Beginner Should Know
1. Malware 🦠 — Malicious software designed to harm, disrupt, or gain unauthorized access.
2. Phishing 🎣 — Fake messages designed to trick people into revealing information or clicking malicious links.
3. Firewall 🔥 — Security system that filters network traffic based on rules.
4. Encryption 🔐 — Converts readable data into an unreadable form to protect confidentiality.
5. Hashing #️⃣ — Converts data into a fixed-length value, commonly used for password storage and integrity checks.
6. Authentication 👤 — Verifies who a user is.
7. Authorization 🔑 — Determines what an authenticated user is allowed to access.
8. MFA 📱 — Requires multiple verification factors, such as a password plus an authenticator code.
9. Vulnerability ⚠️ — A weakness that could potentially be exploited.
10. Exploit 💥 — A technique or code that takes advantage of a vulnerability.
11. Ransomware 🔒 — Malware that blocks access to data or systems and demands payment.
12. DDoS 🌐 — An attack that overwhelms a service with traffic from many sources.
13. VPN 🛡️ — Creates an encrypted connection between your device and a VPN server.
14. IDS 🚨 — Detects suspicious activity and generates alerts.
15. IPS 🧱 — Detects suspicious activity and can automatically block it.
16. SIEM 📊 — Collects and analyzes security logs to help detect and investigate threats.
17. SOC 👨💻 — Security Operations Center responsible for monitoring and responding to security threats.
18. Zero Trust 🚫 — Security approach based on "Never Trust, Always Verify."
19. IOC 🔎 — Indicator of Compromise; evidence that may suggest a system has been compromised.
20. Incident Response 🚨 — The process of detecting, containing, investigating, and recovering from security incidents.
Double Tap ❤️ For More
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1.42 ₽ · /balance_help | 712 |
| 5 | 🚀 𝗙𝗥𝗘𝗘 𝗚𝗲𝗻𝗔𝗜 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
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| 7 | 🛡️🐧 5 Linux Commands Every Cybersecurity Beginner Should Know
1. "tail" — monitor the latest entries in log files 📋
2. "head" — quickly inspect the beginning of files 🔎
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4. "sudo" — run commands with elevated privileges 🔐
5. "journalctl" — examine system logs and security-related events 🚨
💡 These commands are useful for log analysis, system monitoring, troubleshooting, and security investigations.
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| 8 | 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
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| 12 | 🛡️🐧 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.
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| 14 | 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
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| 17 | 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 | 1 600 |
| 18 | 📧🛡️ 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? | 1 421 |
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| 20 | ☁️ 𝟰 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗕𝘂𝗶𝗹𝗱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
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