AI-Powered Web Application Pentester Certification

AI-Powered Web Application Pentester Certification Training

Become an AI-Powered Web App Pentester

Learn AI-powered web application pentesting from threat modeling to exploitation and remediation

Gain hands-on skills in AI-assisted reconnaissance, vulnerability validation, payload crafting, and bypass techniques

Work with real-world tools: PentestGPT, ChatGPT, Burp Suite, OWASP ZAP, Metasploit

Become job-ready for AI-driven Web Pen Tester and AppSec roles

About Course

This course provides an end-to-end understanding of web application pentesting with an AI-first approach. Learners explore AI-assisted reconnaissance, authentication attacks, vulnerability discovery, web protocol analysis, OWASP Top 10 exploitation, payload generation, and automated fuzzing workflows. With hands-on practice using AI-driven tools and LLM-supported exploitation, participants develop the practical skills needed to test and secure modern web applications at scale.

Course Curriculum

MODULE 1

Introduction to AI

What is AI?
- Core concepts: machine learning, natural language processing, neural networks
- Difference between AI, ML, and automation
AI in Offensive Security
- Role of AI in reconnaissance, vulnerability detection, and exploitation
- Examples: PentestGPT, ChatGPT, Deep Hat, ReconGPT
Benefits of AI in Penetration Testing
- Speed, scale, and pattern recognition
- Reducing false positives and automating repetitive tasks
Limitations and Ethical Considerations
- Bias, hallucinations, and over-reliance
- Responsible use of AI in ethical hacking
AI Tools Landscape
- Overview of AI-enhanced tools: Burp Suite extensions, AI-based scanners, LLM-assisted scripting
- Integration with traditional workflows

MODULE 2

Threat Modelling with AI Assistance

Definition and importance of threat modelling
Key components and goals
AI-assisted threat modelling frameworks (STRIDE, PASTA, MITRE ATT&CK + AI mapping)
Asset identification using AI-based OSINT tools
Risk-based asset prioritization with AI scoring
AI-driven attack vector prediction
Mapping potential attack paths using graph-based AI tools

MODULE 3

Web Technologies & Protocols

Web application architecture and HTTP protocol fundamentals
Dissecting HTTP requests and responses
HTTP Methods and Status Codes
Cookie behavior and session management
AI-based analysis of headers, cookies, and tokens

MODULE 4

Information Gathering (Practical)

AI-powered OSINT tools (SpiderFoot, ReconGPT)
Banner grabbing with netcat and AI-enhanced fingerprinting
Nmap with AI-based scan prioritization
OS detection using AI-assisted ping analysis
robots.txt and AI-based content discovery

MODULE 5

Scanning and Vulnerability Discovery

Nikto and AI-enhanced vulnerability correlation
Acunetix with AI-based risk scoring
AI-assisted false positive reduction and scan result triage

MODULE 6

OWASP Top 10 with AI Context

What is OWASP and how AI reshapes its application
OWASP Top 10 (2025) vulnerabilities
AI-driven detection and exploitation techniques for each:
- Broken Access Control
- Security Misconfiguration
- Software Supply Chain Failures
- Cryptographic Failures
- Injection
- Insecure Design
- Authentication Failures
- Software or Data Integrity Failures
- Logging & Alerting Failures
- Mishandling of Exceptional Conditions

MODULE 7

Lab Setup for AI-Powered Testing

Installing Burp Suite Pro in Kali Linux
Browser certificate setup
Installing AI-enhanced Burp extensions (e.g., Autorize, Param Miner, PentestGPT)

MODULE 8

Mapping Applications & Attack Surface

Discovering hidden content using Gobuster + AI heuristics
Intruder-based directory discovery with AI payload generation
Directory brute-forcing with Wfuzz and AI wordlists
Identifying entry points using AI-assisted crawling (e.g., Hkrawler)
Fingerprinting web servers with AI-enhanced Nmap
Enumerating applications using AI-based reconnaissance

MODULE 9

Attacking Authentication Mechanisms

Brute-forcing login panels with AI-generated credentials
Username enumeration using AI pattern recognition
Testing insecure HTTP authentication flows
Evaluating password policies with AI dictionaries
Browser cache analysis using AI automation
Hidden page discovery with AI-enhanced dirbuster

MODULE 10

Advanced Nmap with AI

Nmap fundamentals
Scan types and AI-based scan selection
Open port discovery with AI prioritization
Service version detection with AI correlation
Nmap scripting with AI-generated NSE logic

MODULE 11

Exploiting Vulnerabilities with AI

Access control exploitation using AI fuzzing
Authentication bypass with AI payload crafting
Path traversal detection using AI pattern matching
AI-assisted exploitation workflows using tools like PentestGPT

MODULE 12

OWASP Vulnerability Exploitation

SQL Injection
- Manual exploitation
- Blind SQLi detection with AI
- SQLMap automation
2. XSS
- Reflected, Stored, DOM XSS
- AI-generated payloads and bypasses
CSRF
- POST-based exploitation
- AI-crafted CSRF payloads
XML Vulnerabilities
- XXE and Blind XXE
- SSRF chaining with AI
Server-Side Vulnerabilitie
- SSRF scanners with AI logic
- Exploitation automation
Broken Access Control
- IDOR detection with AI
- Functional access control mapping
Injection Vulnerabilities
- OS Command and Code Injection
- AI-generated payloads and shellcode

MODULE 13

Advanced Exploitation Techniques

Tools
- Burp Suite Proxy
- Web listeners
- Source code analysis with AI
- Wordlists (AI-generated)
- Gobuster, Wfuzz, Hkrawler
File Upload Vulnerabilities
- LFI/RFI theory and exploitation
- AI-assisted file path prediction
Origin-Based Vulnerabilities
- SOP and CORS exploitation
- AI-based CORS misconfiguration detection
Remediation Strategies
- AI-generated fix recommendations
- Secure coding practices with AI linting tools

Pre-requisites

Basic understanding of web technologies such as HTTP, browsers, and web applications

Familiarity with common web vulnerabilities and foundational security testing concepts

Comfortable working with Kali Linux or similar security testing environments

Course Objectives

Perform AI-assisted web application pentesting

Detect and exploit OWASP vulnerabilities using AI tools

Automate payload creation and fuzzing with LLMs

Enhance recon, scanning and exploitation accuracy

Build AI-supported testing workflows and reports

Words Have Power

Waseem Akram Fareed

Canada

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Fuzail Ahmed Lohare

UAE

The trainer was very good, with good knowledge and skills to share, and he handled the session with patience. I really enjoyed the training. Selecting InfosecTrain is always a good choice for me. The sales team is very supportive and helped me on this journey.

Rudraram Sai Kiran

United Kingdom

The trainer is a great presenter/tutor and teaches in a relaxing manner. His sense of humor and honesty about the task ahead for the newbie help make the challenging subject matter accessible. Thank you very much! I had been looking forward to this workshop for weeks, and it exceeded my expectations! I have learned a lot.

Jatin Tandon

Very detailed and organized training, as always, by the best instructors at InfosecTrain. Will come back for more courses after completing my certification.

Yamna Taouss

Morocco

It was an interesting training that could help me succeed in obtaining certificates. I am truly thankful to InfosecTrain for an amazing training. Looking forward to attending more sessions with InfosecTrain.

AI-Powered Web Application Pentester Certification Training

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About Course