PentestGPT-AI-driven pentesting for security.

Example

Suppose a Cross-Site Scripting (XSS) vulnerability is found on the login page of a web application. PentestGPT can help break down the discovery by explaining how the XSS was triggered, detailing both the HTTP request and response, and providing a complete proof-of-concept (PoC) to demonstrate how malicious scripts can be injected.

Scenario

A pentester has identified an XSS issue but needs to create a formal report for the client. PentestGPT takes the raw request and response data and helps generate detailed descriptions, impacts, and recommendations tailored for both technical and non-technical audiences.

Example

If an SQL Injection is discovered, PentestGPT offers specific advice on how to remediate the vulnerability. This might include parameterizing queries, using prepared statements, and implementing input validation mechanisms.

Scenario

A development team receives a report from the pentesting team and needs guidance on how to address the SQL Injection vulnerability without breaking existing functionality. PentestGPT can provide the development team with clear, actionable steps to secure the application.

Example

PentestGPT helps create detailed PoCs for vulnerabilities like file upload flaws, showing how attackers can exploit insecure file upload functionality to execute arbitrary code.

Scenario

A pentester discovers an insecure file upload functionality but needs a concrete demonstration for the client. PentestGPT generates a well-structured PoC, showing step-by-step how the issue can be exploited and what kind of payloads are used in the attack.

Example

When a weak password policy is discovered, PentestGPT suggests specific, industry-standard practices to strengthen password policies, such as enforcing multi-factor authentication (MFA) and using password hashing algorithms like bcrypt.

Scenario

A client receives feedback from a pentesting assessment highlighting weak password controls. PentestGPT provides detailed recommendations, including increasing password complexity requirements and integrating MFA for enhanced security.

Example

For an identified Directory Traversal vulnerability, PentestGPT details the potential impact by showing how attackers could access sensitive files on the server, such as configuration files or password hashes.

Scenario

A pentester reports a Directory Traversal vulnerability in a web application. PentestGPT assesses the severity of the issue, explaining the potential damage if the vulnerability is exploited and providing insights into how this affects the overall security of the system.