Vulnerability Researcher GPT-AI vulnerability detection tool

Example

A developer submits a Python script that processes user input, and VRGPT detects that the script is vulnerable to command injection due to unescaped shell commands. VRGPT explains the issue and provides secure coding alternatives.

Scenario

In a penetration testing scenario, a security researcher might use VRGPT to analyze web applications and identify injection flaws or improper authentication mechanisms that could lead to account takeovers.

Example

Upon discovering a buffer overflow vulnerability in a C program, VRGPT can generate a PoC exploit that demonstrates how an attacker could exploit this vulnerability to gain control over the system.

Scenario

A vulnerability researcher working on a software audit uses VRGPT to demonstrate to developers how a seemingly benign issue, such as unchecked input, could lead to remote code execution if exploited by an attacker.

Example

After identifying that an application is vulnerable to cross-site scripting (XSS), VRGPT not only explains the flaw but also provides corrected code snippets that sanitize and validate user input before rendering.

Scenario

In a secure code review, VRGPT is used to analyze a JavaScript application. It flags instances of dangerous patterns and suggests best practices such as using Content Security Policies (CSP) and proper escaping to mitigate XSS attacks.