🦑How Was the TOR Attacker Caught? 🕵️♂️

🌐 The Dark Web often seems like an untraceable haven for anonymity. But even in the world of TOR (The Onion Router), attackers can be caught! Here’s how:

1️⃣ Human Error: Attackers often make small mistakes, like logging in from a non-TOR connection or revealing identifying details in their communications. Even a single misstep can be critical.

2️⃣ Traffic Analysis: TOR masks your identity by routing traffic through multiple nodes. However, law enforcement can use advanced traffic correlation techniques to identify entry and exit points, especially when they control some TOR nodes.

3️⃣ Compromised Nodes: Investigators may run malicious TOR nodes to intercept traffic. They analyze the data flowing through them, narrowing down potential suspects.

4️⃣ Exploits: Vulnerabilities in TOR or the user’s device/browser can be exploited to reveal real IP addresses. For example, Operation Onymous used malware to expose hidden server locations.

5️⃣ Metadata Tracking: Even encrypted communications leave traces. Authorities piece together patterns, times, and behaviors to zero in on suspects.

💡 Key Takeaway: No system is 100% secure. Cybercriminals often underestimate the combination of technical expertise and human ingenuity behind modern investigations.

Ref: Mahesh Girhe
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Xss
#tips
1. Get endpoints from wayback.
2. And then knoxnl -i endpoints.txt -afb -sb 1

🦑 All free Training +Certifications:


https://github.com/cloudcommunity/Free-Certifications

🦑Large Hacking google dorks collections:

https://github.com/Proviesec/google-dorks/blob/main/all-google-dorks.txt

🦑𝐂𝐨𝐦𝐩𝐚𝐧𝐲 𝐖𝐢𝐬𝐞 𝐒𝐐𝐋 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬

Here , I have listed out all SQL interview questions for your easy reference.

1. Amazon SQL Interview Question for Data Analyst Position [2-3 Year Of Experience ] | Data Analytics
https://lnkd.in/g2RzsKdq

2. Airbnb SQL Interview Question | Convert Comma Separated Values into Rows | Data Analytics
https://lnkd.in/gpMbU-dF

3. Adobe Interesting SQL Interview Question | Solving Using 2 Approaches | Data Analytics
https://lnkd.in/g_-_9ymd

4. Spotify SQL Interview Problem | Top 5 Artists | Aggregation and Window Functions in SQL
https://lnkd.in/gtfaugd3

5. L&T Technology Services SQL Interview Problem | Print Highest and Lowest Salary Employees in Each Department
https://lnkd.in/ggY82FJW

6. Ameriprise Financial Services, LLCSQL Interview Problem | Data Analytics
https://lnkd.in/gS_Yqq6c

7. Tiger Analytics SQL Interview Question for Data Engineering Position
https://lnkd.in/ghjE_CXp

8. PwC SQL Interview Question | BIG 4 |Normal vs Mentos Life 😎
https://lnkd.in/g9SkkX9x

9. Honeywell SQL Interview Question | Print Movie Stars (⭐ ⭐ ⭐ ⭐⭐) For best movie in each Genre
https://lnkd.in/gSDgB9Me

10. Angel One Easy-Peasy SQL Interview Question for a Data Science Position
https://lnkd.in/geaU3we7

11. Practice FAANG SQL Interview Questions For Free | Ace The SQL Interview | Data Analytics
https://lnkd.in/g4AFgen3

12. Accenture SQL Interview Question | Database Case Sensitivity vs Insensitivity
https://lnkd.in/gR6F_8zf

13. American Express SQL Interview Question and Solution | Page Recommendation
https://lnkd.in/g_sMN26m

14. Fractal Analytics SQL Interview Question (Game of Thrones Database) | SQL for Data Engineer
https://lnkd.in/gGcsBms5

15. Netflix Data Cleaning and Analysis Project | End to End Data Engineering Project (SQL + Python)
https://lnkd.in/gS8mT7Fn

16. Swiggy Data Analyst SQL Interview Question and Answer
https://lnkd.in/gSyhmmhd

17. Cracked Myntra as Data Analyst with 1 Year Experience
https://lnkd.in/gekpAit8

18. PwC SQL Interview Question for a Data Analyst Position | SQL For Analytics
https://lnkd.in/gyD5Pjny

19. PayPal Data Engineer SQL Interview Question (and a secret time saving trick)
https://lnkd.in/gAJ_Ug79

20. Adobe Interesting SQL Interview Question | Solving Using 2 Approaches | Data Analytics
https://lnkd.in/gEEAfi8j

21. Walmart Labs SQL Interview Question for Senior Data Analyst Position | Data Analytics
https://lnkd.in/gRBPb-ms

22. PayPal SQL Interview Problem (Level Hard) | Advanced SQL Problem
https://lnkd.in/gGZaYt6N

Ref: Abhisek Sahu
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑SQL Injection Detection Techniques"

SQL Injection remains a critical vulnerability in web applications. Detecting it early is key to protecting your data. Some effective detection techniques include.

Ref: Amit Kumar
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Roadmap for learning Low-Level Design (LLD):

➤ 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:

1. Basics OOP Concepts:
- https://lnkd.in/dhX-yYnb
2. SOLID Principles:
- https://lnkd.in/drsM7izj
3. DRY, YAGNI and KISS Principle:
- https://lnkd.in/d7Dk9Mpb
- https://lnkd.in/dvdm2mgR

➤ 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

1. Creational Patterns
- Singleton, Factory Method, Abstract Factory, Builder, Prototype and Structural Patterns
- https://lnkd.in/dfr_3f-U
- https://lnkd.in/d2s88tuV

2. Adapter
- Facade, Decorator, Composite and Behavioral Patterns
- https://lnkd.in/dtiFe8AN

3. Strategy
- Iterator, Observer, Template Method, Command and State

➤ 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (𝗨𝗠𝗟)

1. Class Diagrams
- Class, Attributes, Methods, Interfaces, Abstract Class, Enumeration and Multiplicity
- https://lnkd.in/dxeh7vSz

2. Use Case, Sequence, Activity and State Machine Diagram
- https://lnkd.in/dgVYbmPA

➤ 𝗪𝗮𝘁𝗰𝗵 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀:

1. Shrayansh Jain: https://lnkd.in/dhW5VmFa
2. Gaurav Sen: https://lnkd.in/dgjFGmXc
3. The Code Mate: https://lnkd.in/d8_6yTSN
4. Soumyajit Bhattacharyay: https://lnkd.in/dFe4t5gZ

➤ 𝗧𝗼𝗽 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗟𝗟𝗗​:

- https://lnkd.in/dAb9m84N
- https://lnkd.in/dvzAdaGt
- https://lnkd.in/dXypcpR4
- https://lnkd.in/dBYMX7Ph

➤ 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀:

- Standard problem solutions: https://lnkd.in/dXypcpR4
- Practice questions: https://lnkd.in/dCMb2nFV

➤ 𝗦𝗲𝗹𝗳-𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁:

- Question 1: https://lnkd.in/dQRCdKhs
- Question 2: https://lnkd.in/dHmEiE79

Just preparing for DSA is not going to get you selected. During technical interviews, you are expected to have some level of understanding of low-level designs.

Ref: Rajat GajbhiyeRajat Gajbhiye
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Example of AI can detect Zero day Exploits:

https://youtu.be/cv9HbGZLQ9o

🦑PowerShell-Hunter: Your New Favorite Event Log Analysis Tool!

🔍 Tired of drowning in PowerShell logs? We've got you covered:
• Smart pattern detection for malicious behaviors
• Risk scoring to prioritize threats
• Export to CSV/JSON for your workflow
• Extensible pattern matching

🚀 Perfect for:
• Incident Response
• Threat Hunting
• Forensics
• SOC Analysis

💡 Why PowerShell-Hunter?
• Process thousands of 4104 events in seconds
• Pre-configured detection patterns
• Catch encoded commands, suspicious downloads, and more
• Built by defenders, for defenders

🔥 Get started: https://github.com/MHaggis/PowerShell-Hunter

Ref: Michael H
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Get Your AI powered terminal assistant:

curl -sS https://raw.githubusercontent.com/ekkinox/yai/main/install.sh | bash

🦑Looking for a comprehensive MySQL Blind (Time-Based) SQL Injection Payload List? Here's a handy collection of payloads to help you in your testing process. Perfect for bug bounty hunters, penetration testers, and security researchers.

@UndercodeCommunity
Ref: AMIT KUMARAMIT KUMAR
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Free Courses + Certification (New Collections):

Google Data Analytics
👉 https://lnkd.in/gv4whkFn

Advanced Google Analytics
👉 https://lnkd.in/gnswTs7t

Google Project Management
👉 https://lnkd.in/geUMD3K9

Foundations of Project Management
👉 https://lnkd.in/gJCjD6us

1. IBM Project Manager
🔗https://lnkd.in/gTaaHHPQ

3. IBM Data Analyst
🔗https://lnkd.in/gMingmB2

4. IBM Data Analytics with Excel and R
🔗https://lnkd.in/gejqD9ry

5. IBM Data Science
🔗https://lnkd.in/guyY26Ye

6. IBM Data Engineering
🔗https://lnkd.in/geFjWDCj

7. IBM AI Engineering
🔗https://lnkd.in/gQpHeu7e

3-Learn SQL Basics for Data Science:
🌀https://lnkd.in/gKcT3SdP

4-Excel for Business :
🌀https://lnkd.in/geHAfHAK

5-Python for Everybody :
🌀https://lnkd.in/gUga4caw

6-Data Analysis Visualization Foundations :
🌀https://lnkd.in/geWz5T-v

7-Machine Learning Specialization:
🌀https://lnkd.in/gCZqk6-J

8-Introduction to Data Science:
🌀https://lnkd.in/gK_C8XKy

1. Microsoft Azure Data Scientist Associate
👉 https://lnkd.in/gaX-nhS3

2. Microsoft Cybersecurity Analyst Professional
👉 https://lnkd.in/g_WYd7iw

3. Microsoft Power BI Data Analyst Professional
👉 https://lnkd.in/gi2FQkf7

4. Microsoft Azure Data Engineering Associate (DP-203) Professional
👉 https://lnkd.in/ggUAK2zx

5. Microsoft Azure Developer Associate (AZ-204) Professional
👉 https://lnkd.in/gF99Jh_s

6. Microsoft Azure Security Engineer Associate (AZ-500) Professional
👉 https://lnkd.in/gqgBVvUc

@UndercodeCommunity
Ref: Vikas SinghVikas Singh
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Active Directory Hardening Checklist

🦑How to Spot a Pentester

🦑Top Password Reset Functionality Bugs
🛡️
Testing password reset flows is critical to ensuring account security. Here’s a checklist of common vulnerabilities to watch out for:

No rate limiting

Token leakage

Email manipulation

Self-XSS risks

Brute force reset attempts

Each of these bugs can lead to serious account takeovers (critical vulnerability) if overlooked. What other password reset vulnerabilities have you come across in your tests?

Ref: Amit Kumar
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑This one command is enough to knock down your entire wifi.

-S : Send syn packets
--flood : Sent packets as fast as possible

Simple DOS attack, works really well on non-enterprise networks. Implement firewall/filter rules in your router to avoid these attacks.

However in some cases it can increase resources usage on router that could still lead to crashes.

Ref: Steven Lim
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Top Shodan Dorks for Finding Sensitive IoT Data 🌐

Are you testing IoT devices and systems for vulnerabilities? Shodan, the search engine for internet-connected devices, can reveal critical data with the right queries.

This cheat sheet contains useful Shodan dorks to identify exposed services, misconfigurations, and unsecured devices, such as: ✅ Open ports: 23 (Telnet), 21 (FTP), 3306 (MySQL)
✅ Exposed services: PostgreSQL, MongoDB, Apache, Jenkins, MikroTik
✅ Sensitive information: "MongoDB Server Information," "200 OK" responses, and certificate details

Some highlights include:

Finding unprotected remote desktops (port:3389)

Identifying insecure databases (port:27017, MongoDB authentication disabled)

Locating industrial devices and firmware (port:5006,5007 Mitsubishi)


Why does this matter?
IoT devices are often overlooked and can serve as easy targets for attackers if not properly secured. By searching for exposed ports and services, security researchers can help organizations address these risks proactively.

📢 A friendly reminder: Use this knowledge responsibly. Only test systems you have permission to access!

Ref: AMIT KUMARAMIT KUMAR
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁