API Penetration Testing Training (Online)
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📧 Email: info@ignitetechnologies.in
Hurry up, get enrolled yourself with Ignite Technologies’ fully exclusive Training Program "API Penetration Testing Training."
✔️ Table of Content
📘 Course Introduction
🔍 How API works with Web application
⚖️ Types of APIs and their advantages/disadvantages
🔎 Analysing HTTP request and response headers
🛡️ API Hacking methodologies
📄 Enumerate web pages and analyse functionalities
🕵️ API passive reconnaissance Strategies
🚀 API active reconnaissance (Kite runner)
🔧 Introduction to POSTMAN
🔍 Testing for Excessive data exposure
📂 Directory indexing / brute force
🔑 Password mutation
🎯 Password spray attacks against web application
🛡️ Introduction to JSON Web Token
🕵️ Hunting for JWT authentication vulnerabilities
💣 Exploiting JWT unverified signature
🔓 Cracking JWT secret keys
🚫 Bypass JWT removing signature
💉 Exploit jku header injection
🔧 Exploit KID in JSON web tokens
🔐 Attacking 0Auth 2.0
📊 Introduction to OWASP TOP 10 API
⚔️ Hunting and exploiting XXS in API
🕵️ Testing for the ReDOS attack in the API web application
💥 Exploiting XML vulnerabilities
🔧 WordPress XML-RPC attack
🌐 Exploiting WSDL/SOAP to RFI
🤖 API Automated Vulnerability scanning
💉 Testing SQL/NoSQL Injection in an API
🔓 Exploiting object-level access control
🔧 Exploiting Function level access control
📡 Testing in-band SSRF vulnerabilities in an API
🌍 Testing out-band SSRF vulnerabilities in an API
⚙️ Testing OS Command Injection
☕ Exploiting Java deserialization vulnerabilities
🗂️ Testing for improper assets management
📦 Testing for Mass assignment vulnerabilities
🚧 Bypass filter, space, and blacklisted characters
🔐 Bypass Captcha and MFA
📋 Remediations and Reporting
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
Hurry up, get enrolled yourself with Ignite Technologies’ fully exclusive Training Program "API Penetration Testing Training."
✔️ Table of Content
📘 Course Introduction
🔍 How API works with Web application
⚖️ Types of APIs and their advantages/disadvantages
🔎 Analysing HTTP request and response headers
🛡️ API Hacking methodologies
📄 Enumerate web pages and analyse functionalities
🕵️ API passive reconnaissance Strategies
🚀 API active reconnaissance (Kite runner)
🔧 Introduction to POSTMAN
🔍 Testing for Excessive data exposure
📂 Directory indexing / brute force
🔑 Password mutation
🎯 Password spray attacks against web application
🛡️ Introduction to JSON Web Token
🕵️ Hunting for JWT authentication vulnerabilities
💣 Exploiting JWT unverified signature
🔓 Cracking JWT secret keys
🚫 Bypass JWT removing signature
💉 Exploit jku header injection
🔧 Exploit KID in JSON web tokens
🔐 Attacking 0Auth 2.0
📊 Introduction to OWASP TOP 10 API
⚔️ Hunting and exploiting XXS in API
🕵️ Testing for the ReDOS attack in the API web application
💥 Exploiting XML vulnerabilities
🔧 WordPress XML-RPC attack
🌐 Exploiting WSDL/SOAP to RFI
🤖 API Automated Vulnerability scanning
💉 Testing SQL/NoSQL Injection in an API
🔓 Exploiting object-level access control
🔧 Exploiting Function level access control
📡 Testing in-band SSRF vulnerabilities in an API
🌍 Testing out-band SSRF vulnerabilities in an API
⚙️ Testing OS Command Injection
☕ Exploiting Java deserialization vulnerabilities
🗂️ Testing for improper assets management
📦 Testing for Mass assignment vulnerabilities
🚧 Bypass filter, space, and blacklisted characters
🔐 Bypass Captcha and MFA
📋 Remediations and Reporting
❤1
Bug Bounty Training Program (Online)
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📧 Email: info@ignitetechnologies.in
Hurry up, get enrolled yourself with IGNITE TECHNOLOGIES’ fully exclusive Training Program “Bug Bounty.”
✔️ Table of Content
🚀 Introduction to WAPT & OWASP Top 10
🛠 Pentest Lab Setup
🔍 Information Gathering & Reconnaissance
💻 Netcat for Pentester
⚙️ Configuration Management Testing
🔐 Cryptography
🔑 Authentication
🕒 Session Management
📂 Local File Inclusion
🌐 Remote File Inclusion
📁 Path Traversal
💣 OS Command Injection
🔀 Open Redirect
📤 Unrestricted File Upload
🐚 PHP Web Shells
📝 HTML Injection
🌟 Cross-Site Scripting (XSS)
🔄 Client-Side Request Forgery
🛑 SQL Injection
📜 XXE Injection
🎁 Bonus Section
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
Hurry up, get enrolled yourself with IGNITE TECHNOLOGIES’ fully exclusive Training Program “Bug Bounty.”
✔️ Table of Content
🚀 Introduction to WAPT & OWASP Top 10
🛠 Pentest Lab Setup
🔍 Information Gathering & Reconnaissance
💻 Netcat for Pentester
⚙️ Configuration Management Testing
🔐 Cryptography
🔑 Authentication
🕒 Session Management
📂 Local File Inclusion
🌐 Remote File Inclusion
📁 Path Traversal
💣 OS Command Injection
🔀 Open Redirect
📤 Unrestricted File Upload
🐚 PHP Web Shells
📝 HTML Injection
🌟 Cross-Site Scripting (XSS)
🔄 Client-Side Request Forgery
🛑 SQL Injection
📜 XXE Injection
🎁 Bonus Section
❤4
Famous Cyber Security Hack
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Cyber%20Hack/Famous%20Cyber%20Security%20Hack%20UHD.png
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Cyber%20Hack/Famous%20Cyber%20Security%20Hack%20UHD.png
Emerging Neurotech Risks Explained Through Restaurant Analogies
✴ Twitter: https://x.com/hackinarticles
Understand neurotechnology’s ethical and security risks with bite-sized restaurant scenarios:
☢ NT01 - Mental Privacy Violation
Waiter eavesdrops on diners’ thoughts → Sells preferences to advertisers
Risk: Unauthorized neural data harvesting for targeted ads.
☢ NT02 - Brain Hacking (BCI Exploits)
Chef remotely alters a dish order → Customer forced to eat spam
Risk: Hackers hijack brain-computer interfaces (BCIs) to manipulate actions.
☢ NT03 - Cognitive Bias Exploitation
Menu prices flash in red → Diners overpay without realizing
Risk: Neurostimulation subtly influences decisions (e.g., purchases, voting).
☢ NT04 - Deep Brain "Chef" Tampering
Kitchen AI overrides chef’s recipes → Diners addicted to salty food
Risk: Implanted devices hacked to alter behaviors or cravings.
☢ NT05 - Neuro-Discrimination
VIPs get premium brain upgrades → Others stuck with slow service
Risk: Socioeconomic divides widen with cognitive enhancement tech.
✴ Twitter: https://x.com/hackinarticles
Understand neurotechnology’s ethical and security risks with bite-sized restaurant scenarios:
☢ NT01 - Mental Privacy Violation
Waiter eavesdrops on diners’ thoughts → Sells preferences to advertisers
Risk: Unauthorized neural data harvesting for targeted ads.
☢ NT02 - Brain Hacking (BCI Exploits)
Chef remotely alters a dish order → Customer forced to eat spam
Risk: Hackers hijack brain-computer interfaces (BCIs) to manipulate actions.
☢ NT03 - Cognitive Bias Exploitation
Menu prices flash in red → Diners overpay without realizing
Risk: Neurostimulation subtly influences decisions (e.g., purchases, voting).
☢ NT04 - Deep Brain "Chef" Tampering
Kitchen AI overrides chef’s recipes → Diners addicted to salty food
Risk: Implanted devices hacked to alter behaviors or cravings.
☢ NT05 - Neuro-Discrimination
VIPs get premium brain upgrades → Others stuck with slow service
Risk: Socioeconomic divides widen with cognitive enhancement tech.
🚀 AI Penetration Training (Online) – Register Now! 🚀
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
Limited slots available! Hurry up to secure your spot in this exclusive training program offered by Ignite Technologies.
🧠 LLM Architecture
🔐 LLM Security Principles
🗄️ Data Security in AI Systems
🛡️ Model Security
🏗️ Infrastructure Security
📜 OWASP Top 10 for LLMs
⚙️ LLM Installation and Deployment
📡 Model Context Protocol (MCP)
🚀 Publishing Your Model Using Ollama
🔍 Introduction to Retrieval-Augmented Generation (RAG)
🌐 Making Your AI Application Public
📊 Types of Enumeration Using AI
🎯 Prompt Injection Attacks
🐞 Exploiting LLM APIs: Real-World Bug Scenarios
🔑 Password Leakage via AI Models
🎭 Indirect Prompt Injection Techniques
⚠️ Misconfigurations in LLM Deployments
👑 Exploitation of LLM APIs with Excessive Privileges
📝 Content Manipulation in LLM Outputs
📤 Data Extraction Attacks on LLMs
🔒 Securing AI Systems
🧾 System Prompts and Their Security Implications
🤖 Automated Penetration Testing with AI
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
Limited slots available! Hurry up to secure your spot in this exclusive training program offered by Ignite Technologies.
🧠 LLM Architecture
🔐 LLM Security Principles
🗄️ Data Security in AI Systems
🛡️ Model Security
🏗️ Infrastructure Security
📜 OWASP Top 10 for LLMs
⚙️ LLM Installation and Deployment
📡 Model Context Protocol (MCP)
🚀 Publishing Your Model Using Ollama
🔍 Introduction to Retrieval-Augmented Generation (RAG)
🌐 Making Your AI Application Public
📊 Types of Enumeration Using AI
🎯 Prompt Injection Attacks
🐞 Exploiting LLM APIs: Real-World Bug Scenarios
🔑 Password Leakage via AI Models
🎭 Indirect Prompt Injection Techniques
⚠️ Misconfigurations in LLM Deployments
👑 Exploitation of LLM APIs with Excessive Privileges
📝 Content Manipulation in LLM Outputs
📤 Data Extraction Attacks on LLMs
🔒 Securing AI Systems
🧾 System Prompts and Their Security Implications
🤖 Automated Penetration Testing with AI
Medusa Mindmap
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/medusa/medusa%20UHD.png
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/medusa/medusa%20UHD.png
❤1
SAIL Framework: Secure AI Risks Explained Through Restaurant Scenarios
✴ Twitter: https://x.com/hackinarticles
Understand AI security risks with bite-sized restaurant analogies from the SAIL Framework (Secure AI Lifecycle):
☢ SAIL 1.1 - Inadequate AI Policy
Chef ignores food safety rules → Kitchen fails health inspection
Risk: No AI governance = unchecked vulnerabilities.
☢ SAIL 3.1 - Data Poisoning
Rival sabotages ingredients → Diners get sick
Risk: Corrupt training data skews AI decisions.
☢ SAIL 4.1 - Untested Model
New dish served without taste-test → Allergic reactions
Risk: Unvalidated AI models cause harmful outputs.
☢ SAIL 5.3 - Direct Prompt Injection
Customer writes "Add poison" on order → Chef obeys
Risk: Malicious prompts hijack AI behavior.
☢ SAIL 6.5 - Indirect Prompt Injection
Hidden note in delivery box → Kitchen follows rogue recipe
Risk: External data manipulates AI covertly.
☢ SAIL 7.2 - Missing Real-time Alerts
Food spoils silently → No one notices
Risk: Undetected model drift or attacks.
✴ Twitter: https://x.com/hackinarticles
Understand AI security risks with bite-sized restaurant analogies from the SAIL Framework (Secure AI Lifecycle):
☢ SAIL 1.1 - Inadequate AI Policy
Chef ignores food safety rules → Kitchen fails health inspection
Risk: No AI governance = unchecked vulnerabilities.
☢ SAIL 3.1 - Data Poisoning
Rival sabotages ingredients → Diners get sick
Risk: Corrupt training data skews AI decisions.
☢ SAIL 4.1 - Untested Model
New dish served without taste-test → Allergic reactions
Risk: Unvalidated AI models cause harmful outputs.
☢ SAIL 5.3 - Direct Prompt Injection
Customer writes "Add poison" on order → Chef obeys
Risk: Malicious prompts hijack AI behavior.
☢ SAIL 6.5 - Indirect Prompt Injection
Hidden note in delivery box → Kitchen follows rogue recipe
Risk: External data manipulates AI covertly.
☢ SAIL 7.2 - Missing Real-time Alerts
Food spoils silently → No one notices
Risk: Undetected model drift or attacks.
❤2