Web Server Hacking and Security: Offensive and Defensive Techniques

Duration

3 Day

Course Code

BDT381

Available Formats

Instructor-Led Online and Classroom

Description:

This 3 day training is designed for ethical hackers, security professionals, and IT administrators who want to delve deeper into web server security. Participants will explore the attack surface of web servers, focusing on methods attackers use to compromise web servers and the mitigation strategies needed to prevent those attacks. Through practical exercises and hands-on labs, learners will analyze web server configurations, identify weaknesses, and implement various security measures to harden the web environment. Topics covered include automated attacks, DNS-based attacks, session management vulnerabilities, and advanced firewall configuration. The bootcamp will also examine cutting-edge trends like serverless architecture vulnerabilities and the role of AI in server security.

Duration:3 Days

Course Code: BDT381

Learning Objectives:

Understand the role of misconfigurations in web server compromises.
Use advanced tools to detect, exploit, and defend against web server vulnerabilities.
Analyze emerging serverless architecture vulnerabilities.
Implement layered security measures to protect web infrastructure.

Aspiring ethical hackers, IT Security professionals, Cybersecurity professionals, Web Application Developers.

Basic Understanding of Networking, Basic Knowledge of Operating Systems, Introduction to Cybersecurity Concepts.

Course Outline:

Module 1: Foundations of Web Server Security

Understanding Web Server Architecture
- Differences between physical, virtual, and cloud-based servers.
- Overview of serverless architecture and associated vulnerabilities.
Threat Landscape in 2024
- Evolving web server attack trends.
- Introduction to automated and bot-based attacks.
Common Attack Vectors
- Session management flaws.
- DNS poisoning and hijacking.
- Attacks against SSL/TLS and HTTPS.

Module 2: Advanced Information Gathering

Automated Reconnaissance
- Tools for large-scale scanning (Shodan, Censys).
- Identifying outdated server software and exposed services.
Analyzing Web Server Headers
- Extracting server information.
- Identifying security misconfigurations in headers (e.g., X-Frame-Options, Content Security Policy).
Fingerprinting SSL/TLS Configurations
- SSL Labs scanning.
- Analyzing weak ciphers and deprecated protocols.

Module 3: Exploiting Web Server Weaknesses

Session Management and Cookie Exploits
- Session fixation attacks.
- Securing cookies: HttpOnly, Secure, and SameSite flags.
DNS-Based Attacks
- DNS rebinding attacks.
- DNS spoofing and cache poisoning.
Exploiting Serverless Architectures
- Analyzing vulnerabilities in FaaS (Function as a Service).
- Exploiting misconfigured APIs and event-driven attacks.
Custom Vulnerability Discovery
- Writing custom exploits for rare server configurations.
- Using fuzzing techniques to discover hidden vulnerabilities.

Module 4: Post-Exploitation Techniques

Maintaining Persistence
- Installing persistent web shells.
- Creating malicious cron jobs.
Privilege Escalation on Web Servers
- Escalating privileges via file uploads and misconfigured sudo.
- Bypassing restricted shells.
Exfiltration and Obfuscation Techniques
- Encoding data for exfiltration (Base64, URL encoding).
- Hiding malicious activities in server logs.

Module 5: Web Server Defense Strategies

Firewall and Intrusion Prevention Systems (IPS)
- Advanced WAF configurations.
- Implementing reverse proxy security (Nginx as reverse proxy).
Monitoring and Logging for Attack Detection
- Utilizing SIEM solutions for continuous monitoring.
- Log correlation for early detection of intrusions.
Defending Serverless Architectures
- Securing APIs and data flows.
- Implementing function-level access control.
Emerging Trends in Web Server Defense
- Use of AI and machine learning in intrusion detection.
- Implementing zero-trust architecture on web servers.

Module 6: Case Studies and Ethical Considerations

Real-World Case Studies
- Analyzing recent server breaches (SolarWinds, GitHub).
- Understanding how small misconfigurations led to major breaches.
Ethical Hacking Principles
- Legal boundaries in web server testing.
- Best practices for responsible vulnerability disclosure.

Training Material Provided:
Yes (Digital format)

1. What is Big Data Trunk?

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I completed the Big Data Developer and Mentorship Program. The course is very informative and interactive. A well defined plan, course contents (labs, extra course material, offshore support team) and tracking system help us learn each component with ease and helps us stay focused.

Java/Hadoop Developer

Overall the content of this training was very good and it provided all details required in slideshow. The trainer was also knowledgeable and was able to clarify the questions raised during the training.

Director

This was an excellent introductory class for a non-specialist that provided me with exactly the kind of foundation and background I was seeking. I would recommend it highly to anyone who wants to understand more about the subject or to use it as the first steps in getting into the field. It will help me evaluate proposals we receive and also guide faculty, staff and students on whether they might benefit from using ML/AI in their work.

Senior Manager

It was extremely helpful to have the beginning of the day explaining more about the background of data governance/etc. I did find that the Tableau exercise was helpful conceptually but I still don’t know if I feel like I know anything about the product. Overall, this was extremely helpful though! Thank you!

Data Architect

I thought Instructor did a great job in these difficult times. One suggestion would be to come up with a uniform plan for acknowledging questions and stick to it throughout the course. I feel like this course met my needs as a beginner to AWS and can’t wait to do more labs. Thanks.

Data Engineer

I love the way he taught Machine Learning class. He started with theory and followed up with some hands-on example of his own. Then he gave students to do some work based on the topics he covered. Also, he always tried to make class interactive, encouraged students to ask questions and clarified almost unlimited time if there are any questions. He is a great instructor and I love to take class with him in future.

Software Developer

I am very interested in further training in Machine Learning and Neural Network and would like to know which course to take next. This is exactly the class I have been looking for to try and set up my project of creating a “smart” medical record system. I would love to be in touch with Instructor in the future to get more advice.

Healthcare Practitioner

Run-through of all concepts. Learning the basic concept of GCP and connecting dot with my work. Simple concepts explained. Holding students attention in an 8 hours virtual class is not easy. I appreciate Instructor’s calm attitude and answering every question asked.

Director

The course was very well presented. An all-day Zoom class is challenging but it was interesting. I thought some of the exercises and quizzes could be made a little more advanced or challenging, but they are good for a general audience.

Software Developer

Large bulk of information being provided in the course as well as really good in depth explanations. The practice exercises are very helpful and I will be referring to them post the class completion.

Software Architect

We just wanted to reiterate our thanks for providing the Intro to ChatGPT training! We had so many individuals very interested in this topic and appreciate your guidance and graciousness in facilitating their learning. We hope to work with you in the future to provide additional sessions.

Project Manager

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