What is web, mobile, and API penetration testing?
Web, mobile, and API penetration testing is a manual security assessment that evaluates exploitable weaknesses across application interfaces, mobile clients, backend APIs, authentication systems, user roles, session handling, business logic, and connected workflows. The goal is to determine whether attackers can access data, abuse functionality, bypass controls, or impact business-critical systems.
What is the difference between web application testing and API penetration testing?
Web application penetration testing focuses on browser-based workflows, user interfaces, forms, sessions, roles, access control, and business logic. API penetration testing focuses on backend endpoints, object-level authorization, BOLA, IDOR, tokens, authentication flows, excessive data exposure, rate limiting, and trusted service-to-service behavior.
Does Redbot test mobile applications?
Yes. Redbot performs mobile application penetration testing for iOS and Android applications. Testing can include authentication, local storage, mobile APIs, runtime behavior, reverse engineering risk, sensitive data handling, backend trust, certificate pinning, device interaction, and mobile workflow abuse.
Does application penetration testing include business logic testing?
Yes. Business logic testing is a core part of Redbot application penetration testing. Redbot evaluates whether attackers can manipulate workflows, bypass intended steps, abuse roles, alter object references, exploit approval flows, access restricted functions, or trigger unintended application behavior.
Does Redbot test authentication and authorization?
Yes. Redbot tests authentication and authorization across web applications, APIs, mobile apps, and connected backend systems. This can include login workflows, MFA logic, password reset, session handling, JWT and OAuth implementation, role enforcement, horizontal privilege escalation, vertical privilege escalation, IDOR, BOLA, and tenant isolation.
Can Redbot test AI and LLM application features?
Yes. Redbot tests AI and LLM-enabled application features, including prompt injection, data leakage, agentic workflows, tool abuse, excessive permissions, unsafe integrations, sensitive data exposure, and trust boundaries between AI systems, APIs, users, and backend services.
What does Redbot provide after application penetration testing?
Redbot provides a prioritized penetration testing report with validated findings, risk context, reproduction steps, evidence, affected workflows, business impact, and remediation guidance. Reporting is designed to help engineering and security teams understand what was exploitable and what should be fixed first.
How often should application penetration testing be performed?
Application penetration testing is commonly performed annually, after major releases, before production launch, after significant architecture changes, when new APIs or mobile apps are introduced, after authentication or authorization changes, and when compliance, customer, or vendor requirements call for independent security validation.