A visual guide to modern web application hacking, where AI tools automatically chain together OWASP Top 10 vulnerabilities to create a path to full system compromise.
The OWASP Top 10 has been the bible of web application security for nearly two decades. Yet, in 2025, a startling 90% of web applications remain vulnerable to these well-documented flaws. The new threat, however, isn’t just the existence of these individual vulnerabilities; it’s the rise of AI-powered tools that can automatically discover and chain them together to create devastating attack paths.jit+1
Expert Insight: “I’ve pentested over 100 web applications. The game has changed. AI tools now find vulnerabilities I would miss and, more importantly, chain them in ways I never would have thought. An XSS flaw, combined with a CSRF vulnerability and a misconfigured API endpoint, can now be weaponized by an AI to achieve a full account takeover in minutes. We are no longer hunting for single bugs; we are defending against automated kill chains.”
This guide, aligned with the principles of CEH Module 14 (Hacking Web Applications), will walk you through the entire modern attack lifecycle. We will explore how attackers are using AI to chain OWASP Top 10 vulnerabilities and how you can build a resilient defense against these sophisticated, automated attacks.
The OWASP Top 10 serves as the foundational checklist for web application security. Understanding these categories is the first step in both attack and defense.mend
| OWASP ID | Vulnerability Category | Common Attack Scenario |
|---|---|---|
| A01:2021 | Broken Access Control mend | An attacker accesses a URL they shouldn’t be able to (e.g., /admin) by manipulating a parameter, leading to unauthorized data access. |
| A02:2021 | Cryptographic Failures | Sensitive data (passwords, credit cards) is stored in plaintext or with weak encryption, allowing an attacker who gains database access to read it. |
| A03:2021 | Injection mend | An attacker injects malicious SQL, NoSQL, or OS commands into an input field to execute arbitrary code on the server. Our AI-Powered SQL Injection Guide covers this in depth. |
| A04:2021 | Insecure Design | Architectural flaws, such as a lack of rate limiting on a login page, allow an attacker to perform brute-force attacks. |
| A05:2021 | Security Misconfiguration | An exposed API endpoint or default credentials on a server (e.g., admin:admin) provide an easy entry point for an attacker. |
| A06:2021 | Vulnerable Components | The application uses an outdated library (e.g., an old version of Log4j) with a known, exploitable CVE. |
| A07:2021 | Identification & Auth Failures | Weak session management allows an attacker to steal a session cookie and perform a Session Hijacking attack. |
| A08:2021 | Software & Data Integrity Failures | The application pulls dependencies from an untrusted source, leading to a supply chain attack. Our guide on the PyPI Supply Chain Attack is a prime example. |
| A09:2021 | Security Logging & Monitoring Failures | The application has no logging, allowing an attacker to operate for months without being detected. |
| A10:2021 | Server-Side Request Forgery (SSRF) mend | An attacker tricks the server into making a request to an internal, unintended resource, allowing them to scan the internal network from the outside. |
The true danger in 2025 is not a single one of these flaws, but how they are chained together. Modern AI exploitation frameworks can ingest the results of a vulnerability scan and automatically identify and execute these chains.
/api/v1/users/{id}.1, 2, 3, etc.) and finds that the endpoint returns user data for any ID without checking authorization. This is a classic Insecure Direct Object Reference (IDOR) flaw.python# The AI receives a list of vulnerabilities found by a scanner
vulnerabilities = [
{"type": "XSS", "location": "/comments"},
{"type": "IDOR", "endpoint": "/api/users/{id}"},
{"type": "SQLi", "parameter": "username"}
]
# The AI has a knowledge base of how vulnerabilities can be chained
chains = find_potential_chains(vulnerabilities)
# Example output: (XSS -> Steal Admin Cookie -> Use Cookie on IDOR Endpoint)
for chain in chains:
execute_automated_exploit(chain)
Beyond the classic OWASP Top 10, attackers are chaining them with more advanced, application-specific vulnerabilities.
| Attack Vector | How It Works | The Risk |
|---|---|---|
| Insecure Deserialization | An attacker provides a malicious serialized object to an application that blindly deserializes it. | This can lead directly to Remote Code Execution (RCE), as the application will execute malicious code embedded within the object. |
| Server-Side Template Injection (SSTI) | An attacker injects template syntax into an input field that is processed by a server-side template engine (e.g., Jinja2, Twig). | If successful, the attacker can break out of the template sandbox and execute arbitrary OS commands on the server. |
| Blind NoSQL Injection | The attacker uses boolean-based or time-based queries to exfiltrate data from a NoSQL database one character at a time. | This attack is slow but incredibly stealthy, often bypassing WAFs and IDS systems. Our guide on Blind NoSQL Injection covers this in detail. |
You cannot defend against vulnerability chains by fixing individual bugs. You must eliminate entire classes of vulnerabilities.
The era of manual, single-vulnerability exploitation is over. We are now in the age of automated, AI-driven vulnerability chaining. Attackers are leveraging these tools to find and exploit complex attack paths that were previously impractical. For defenders, this means that a “patch-and-pray” approach is no longer viable. Security must be baked into the design of the application from the ground up, with a focus on eliminating entire categories of risk as defined by the OWASP Top 10. To get started on your own offensive security journey, explore our Complete Ethical Hacking Guide for 2025.
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