100 web vulnerabilities, categorized into various types :

Injection Vulnerabilities:
1. SQL Injection (SQLi)
2. Cross-Site Scripting (XSS)
3. Cross-Site Request Forgery (CSRF)
4. Remote Code Execution (RCE)
5. Command Injection
6. XML Injection
7. LDAP Injection
8. XPath Injection
9. HTML Injection
10. Server-Side Includes (SSI) Injection
11. OS Command Injection
12. Blind SQL Injection
13. Server-Side Template Injection (SSTI)

Broken Authentication and Session Management:
14. Session Fixation
15. Brute Force Attack
16. Session Hijacking
17. Password Cracking
18. Weak Password Storage
19. Insecure Authentication
20. Cookie Theft
21. Credential Reuse

Sensitive Data Exposure:
22. Inadequate Encryption
23. Insecure Direct Object References (IDOR)
24. Data Leakage
25. Unencrypted Data Storage
26. Missing Security Headers
27. Insecure File Handling

Security Misconfiguration:
28. Default Passwords
29. Directory Listing
30. Unprotected API Endpoints
31. Open Ports and Services
32. Improper Access Controls
33. Information Disclosure
34. Unpatched Software
35. Misconfigured CORS
36. HTTP Security Headers Misconfiguration

XML-Related Vulnerabilities:
37. XML External Entity (XXE) Injection
38. XML Entity Expansion (XEE)
39. XML Bomb

Broken Access Control:
40. Inadequate Authorization
41. Privilege Escalation
42. Insecure Direct Object References
43. Forceful Browsing
44. Missing Function-Level Access Control

Insecure Deserialization:
45. Remote Code Execution via Deserialization
46. Data Tampering
47. Object Injection

API Security Issues:
48. Insecure API Endpoints
49. API Key Exposure
50. Lack of Rate Limiting
51. Inadequate Input Validation

Insecure Communication:
52. Man-in-the-Middle (MITM) Attack
53. Insufficient Transport Layer Security
54. Insecure SSL/TLS Configuration
55. Insecure Communication Protocols

Client-Side Vulnerabilities:
56. DOM-based XSS
57. Insecure Cross-Origin Communication
58. Browser Cache Poisoning
59. Clickjacking
60. HTML5 Security Issues

Denial of Service (DoS):
61. Distributed Denial of Service (DDoS)
62. Application Layer DoS
63. Resource Exhaustion
64. Slowloris Attack
65. XML Denial of Service

Other Web Vulnerabilities:
66. Server-Side Request Forgery (SSRF)
67. HTTP Parameter Pollution (HPP)
68. Insecure Redirects and Forwards
69. File Inclusion Vulnerabilities
70. Security Header Bypass
71. Clickjacking
72. Inadequate Session Timeout
73. Insufficient Logging and Monitoring
74. Business Logic Vulnerabilities
75. API Abuse

Mobile Web Vulnerabilities:
76. Insecure Data Storage on Mobile Devices
77. Insecure Data Transmission on Mobile Devices
78. Insecure Mobile API Endpoints
79. Mobile App Reverse Engineering

IoT Web Vulnerabilities:
80. Insecure IoT Device Management
81. Weak Authentication on IoT Devices
82. IoT Device Vulnerabilities

Web of Things (WoT) Vulnerabilities:
83. Unauthorized Access to Smart Homes
84. IoT Data Privacy Issues

Authentication Bypass:
85. Insecure "Remember Me" Functionality
86. CAPTCHA Bypass

Server-Side Request Forgery (SSRF):
87. Blind SSRF
88. Time-Based Blind SSRF

Content Spoofing:
89. MIME Sniffing
90. X-Content-Type-Options Bypass
91. Content Security Policy (CSP) Bypass

Business Logic Flaws:
92. Inconsistent Validation
93. Race Conditions
94. Order Processing Vulnerabilities
95. Price Manipulation
96. Account Enumeration
97. User-Based Flaws

Zero-Day Vulnerabilities:
98. Unknown Vulnerabilities
99. Unpatched Vulnerabilities
100. Day-Zero Exploits

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Don't overwhelm to learn Git,🙌

Git is only this much👇😇

1.Core:
• git init
• git clone
• git add
• git commit
• git status
• git diff
• git checkout
• git reset
• git log
• git show
• git tag
• git push
• git pull

2.Branching:
• git branch
• git checkout -b
• git merge
• git rebase
• git branch --set-upstream-to
• git branch --unset-upstream
• git cherry-pick

3.Merging:
• git merge
• git rebase

4.Stashing:
• git stash
• git stash pop
• git stash list
• git stash apply
• git stash drop

5.Remotes:
• git remote
• git remote add
• git remote remove
• git fetch
• git pull
• git push
• git clone --mirror

6.Configuration:
• git config
• git global config
• git reset config

7. Plumbing:
• git cat-file
• git checkout-index
• git commit-tree
• git diff-tree
• git for-each-ref
• git hash-object
• git ls-files
• git ls-remote
• git merge-tree
• git read-tree
• git rev-parse
• git show-branch
• git show-ref
• git symbolic-ref
• git tag --list
• git update-ref

8.Porcelain:
• git blame
• git bisect
• git checkout
• git commit
• git diff
• git fetch
• git grep
• git log
• git merge
• git push
• git rebase
• git reset
• git show
• git tag

9.Alias:
• git config --global alias.<alias> <command>

10.Hook:
• git config --local core.hooksPath <path>

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Here are the 50 JavaScript interview questions for 2024

1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference between null and undefined?
4. Explain the concept of hoisting in JavaScript.
5. What is a closure in JavaScript?
6. What is the difference between “==” and “===” operators in JavaScript?
7. Explain the concept of prototypal inheritance in JavaScript.
8. What are the different ways to define a function in JavaScript?
9. How does event delegation work in JavaScript?
10. What is the purpose of the “this” keyword in JavaScript?
11. What are the different ways to create objects in JavaScript?
12. Explain the concept of callback functions in JavaScript.
13. What is event bubbling and event capturing in JavaScript?
14. What is the purpose of the “bind” method in JavaScript?
15. Explain the concept of AJAX in JavaScript.
16. What is the “typeof” operator used for?
17. How does JavaScript handle errors and exceptions?
18. Explain the concept of event-driven programming in JavaScript.
19. What is the purpose of the “async” and “await” keywords in JavaScript?
20. What is the difference between a deep copy and a shallow copy in JavaScript?
21. How does JavaScript handle memory management?
22. Explain the concept of event loop in JavaScript.
23. What is the purpose of the “map” method in JavaScript?
24. What is a promise in JavaScript?
25. How do you handle errors in promises?
26. Explain the concept of currying in JavaScript.
27. What is the purpose of the “reduce” method in JavaScript?
28. What is the difference between “null” and “undefined” in JavaScript?
29. What are the different types of loops in JavaScript?
30. What is the difference between “let,” “const,” and “var” in JavaScript?
31. Explain the concept of event propagation in JavaScript.
32. What are the different ways to manipulate the DOM in JavaScript?
33. What is the purpose of the “localStorage” and “sessionStorage” objects?
34. How do you handle asynchronous operations in JavaScript?
35. What is the purpose of the “forEach” method in JavaScript?
36. What are the differences between “let” and “var” in JavaScript?
37. Explain the concept of memoization in JavaScript.
38. What is the purpose of the “splice” method in JavaScript arrays?
39. What is a generator function in JavaScript?
40. How does JavaScript handle variable scoping?
41. What is the purpose of the “split” method in JavaScript?
42. What is the difference between a deep clone and a shallow clone of an object?
43. Explain the concept of the event delegation pattern.
44. What are the differences between JavaScript’s “null” and “undefined”?
45. What is the purpose of the “arguments” object in JavaScript?
46. What are the different ways to define methods in JavaScript objects?
47. Explain the concept of memoization and its benefits.
48. What is the difference between “slice” and “splice” in JavaScript arrays?
49. What is the purpose of the “apply” and “call” methods in JavaScript?
50. Explain the concept of the event loop in JavaScript and how it handles asynchronous operations.

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Introduction to Database (DBMS) Hand Written Notes

Visualize data on Google Maps Platform

Learn to translate external data sources to graphics on maps.

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190+ Python MCQs

Python Handwritten Notes

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Enjoy Learning 👍👍

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🔴 How to MASTER a programming language using ChatGPT: 📌

1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?

2. What are some commonly asked interview questions about [lang]?

3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.

4. Give me some practice questions along with solutions for [concept] in [lang].

5. What are some common mistakes that people make in [lang]?

6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?

7. How can I optimize the performance of my code in [lang]?

8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?

9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?

10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?

11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?

12. How can I effectively collaborate with other developers in [lang] on a project?

13. What are some common data structures and algorithms that I should be familiar with in [lang]?

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Web Development Mastery: From Basics to Advanced 🚀

Start with the fundamentals:
- HTML
- CSS
- JavaScript
- Responsive Design
- Basic DOM Manipulation
- Git and Version Control

You can grasp these essentials in just a week.

Once you're comfortable, dive into intermediate topics:
- AJAX
- APIs
- Frameworks like React, Angular, or Vue
- Front-end Build Tools (Webpack, Babel)
- Back-end basics with Node.js, Express, or Django

Take another week to solidify these skills.

Ready for the advanced level? Explore:
- Authentication and Authorization
- RESTful APIs
- GraphQL
- WebSockets
- Docker and Containerization
- Testing (Unit, Integration, E2E)

These advanced concepts can be mastered in a couple of weeks.

Remember, mastery comes with practice:
- Create a simple web project
- Tackle an intermediate-level project
- Challenge yourself with an advanced project involving complex features

Consistent practice is the key to becoming a web development pro.

Best platforms to learn:
- Web Development Free Courses
- Web Development Course with Job
- Projects

Share your progress and learnings with others in the community. Enjoy the journey! 👩‍💻👨‍💻

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Like this post if it helps 😄❤️

ENJOY LEARNING 👍👍

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Essential Programming Languages to Learn Data Science, Machine Learning & AI👇👇

1. Python: Python is one of the most popular programming languages for data science due to its simplicity, versatility, and extensive library support (such as NumPy, Pandas, and Scikit-learn).

2. R: R is another popular language for data science, particularly in academia and research settings. It has powerful statistical analysis capabilities and a wide range of packages for data manipulation and visualization.

3. SQL: SQL (Structured Query Language) is essential for working with databases, which are a critical component of data science projects. Knowledge of SQL is necessary for querying and manipulating data stored in relational databases.

4. Java: Java is a versatile language that is widely used in enterprise applications and big data processing frameworks like Apache Hadoop and Apache Spark. Knowledge of Java can be beneficial for working with large-scale data processing systems.

5. Scala: Scala is a functional programming language that is often used in conjunction with Apache Spark for distributed data processing. Knowledge of Scala can be valuable for building high-performance data processing applications.

6. Julia: Julia is a high-performance language specifically designed for scientific computing and data analysis. It is gaining popularity in the data science community due to its speed and ease of use for numerical computations.

7. MATLAB: MATLAB is a proprietary programming language commonly used in engineering and scientific research for data analysis, visualization, and modeling. It is particularly useful for signal processing and image analysis tasks.

Free Resources to master Data Science 👇👇

Data Science & Machine Learning with Ready Job

Learn Python Programming and Data Science, ML & AI

Data Science Project Ideas

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ENJOY LEARNING👍👍