CyberSecurity & AI Experts
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🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun
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شبکه:📈 تحلیل کانال تلگرام CyberSecurity & AI Experts
کانال CyberSecurity & AI Experts (@ethicalhackingtoday) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 43 315 مشترک است و جایگاه 3 036 را در دسته فناوری و برنامهها و رتبه 8 883 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 43 315 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 593 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.97% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.43% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 719 بازدید دریافت میکند. در اولین روز معمولاً 621 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 26 اوت, 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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پستهای کانال
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| 3 | 🛡️🐧 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. ❤️ | 881 |
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| 5 | 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. ❤️ | 1 213 |
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| 8 | 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 | 1 117 |
| 9 | 📧🛡️ 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? | 933 |
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| 14 |  🎓 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 🚀
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💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
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🔁 𝗦𝗵𝗮𝗿𝗲 this with your friends and classmates! | 1 612 |
| 15 |  📊 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗣𝗿𝗼 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀? 🚀
Learning Excel, SQL and Power BI is only the beginning. To stand out as a Data Analyst, focus on practical experience, visibility and networking.
🔥 4 Ways to Level Up Your Data Analytics Career:
💡 Master the Skills → Build Projects → Create Your Portfolio → Get Noticed
🔗 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 👇
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🎯 Perfect for Students | Freshers | Data Analyst Aspirants | Career Switchers | 1 731 |
| 16 |  🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 📊🔥
𝗕𝘂𝗶𝗹𝗱 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 & Learn the tools companies actually use and prepare for high-growth Data Analyst opportunities.
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| 17 |  📊 𝟱 𝗕𝗲𝘀𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗦 𝗘𝘅𝗰𝗲𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
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| 18 |  𝗙𝗥𝗘𝗘 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗟𝗮𝘁𝗲𝘀𝘁 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 😍
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Date & Time :- 18th August 2026 & 7PM | 1 795 |
| 19 |  💻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 | 𝟱 𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 🚀
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📊 Perfect for Students | Freshers | Data Analyst Aspirants | SQL Beginners | 1 621 |
| 20 | 🦠🔎 Project 7: Malware Analysis & Digital Forensics Lab
Now we're moving into Malware Analysis & Digital Forensics.
This project teaches you how security professionals investigate suspicious files and systems without putting their real computer at risk.
⚠️ Important: Never download or execute unknown malware on your personal computer. Use intentionally safe samples, training datasets, or purpose-built malware labs inside an isolated virtual machine.
🎯 Project Objective
By completing this project, you'll learn:
What malware analysis is
Static vs dynamic analysis
File hashes
Indicators of Compromise (IOCs)
Basic forensic investigation
How analysts document evidence
How malware investigations support incident response
🧠 What is Malware Analysis?
Malware analysis is the process of examining suspicious software to understand:
What it does, How it behaves, What systems it interacts with, What indicators it leaves behind
Common malware categories:
🦠 Viruses, 🐴 Trojans, 🔒 Ransomware, 🕵️ Spyware, 🪱 Worms
🔬 Part 1: Static Analysis
Static analysis examines a file without executing it.
You may examine: File name, File type, File size, Metadata, Hash value, Embedded strings, File structure
The goal is to gather information safely.
🔢 Part 2: File Hashes
A hash acts like a digital fingerprint for a file.
File → Hash Function → Unique Hash Value
If the file changes, its hash will normally change too.
Security analysts use hashes to: Identify known files, Compare samples, Track malware, Verify file integrity
🔍 Part 3: Indicators of Compromise (IOCs)
An IOC is evidence that may indicate malicious activity.
Examples: Suspicious file hash, Malicious IP address, Suspicious domain, Unexpected file, Unusual process, Strange registry modification
These indicators help security teams investigate incidents.
⚙️ Part 4: Dynamic Analysis
Dynamic analysis means observing what a suspicious program does while it executes in a controlled environment.
Analysts may observe: Processes created, Files modified, Network connections, Registry changes, System behavior
⚠️ This should only be performed inside a properly isolated sandbox or dedicated malware-analysis lab.
🧪 Part 5: Build an Isolated Lab
Architecture: Host Computer → Virtual Machine → Analysis VM → Isolated Environment
Before experimentation:
✅ Take a VM snapshot.
✅ Keep sensitive personal files outside the lab.
✅ Avoid shared folders and clipboard integration when analyzing unsafe samples.
✅ Use network isolation appropriate for the lab.
🖥️ Part 6: Investigate a Safe Sample
Instead of using real-world malware, begin with a harmless training sample.
Collect: File name, File type, File size, SHA-256 hash, Creation/modification information, Strings or metadata
Then document your observations.
📊 Part 7: Compare Static & Dynamic Analysis
Static Analysis: Doesn't execute the file, Safer, Examines file characteristics, Hashes, metadata, strings
Dynamic Analysis: Executes in a controlled environment, Higher risk, Observes behavior, Processes, files, network activity
Professional analysts often combine both approaches. | 1 831 |
