Kai finds vulnerabilities across multiple categories by reasoning about how attackers could abuse your application’s logic, data handling, and security controls. While Kai covers traditional vulnerability categories from the OWASP Top 10, its AI-driven approach also finds business logic vulnerabilities that traditional scanners miss, complex multi-step attack sequences, framework-specific issues adapted to your technology stack, and novel attack patterns that don’t match known signatures.
Authentication bypass vulnerabilities allow attackers to access accounts without knowing the correct credentials. These typically occur through weak session management that can be manipulated, flawed password reset mechanisms, logic errors in multi-factor authentication, or race conditions in login processes. The impact includes complete account takeover, access to sensitive user data, and administrative privilege escalation.Authorization bypass flaws allow authenticated users to access resources or perform actions they shouldn’t be allowed to. Common causes include missing permission checks on sensitive operations, inconsistent access control enforcement, RBAC implementation errors, or path traversal in authorization logic. These can lead to horizontal privilege escalation (accessing other users’ data), vertical privilege escalation (gaining admin access), data breaches, and unauthorized transactions.
SQL injection attacks manipulate database queries by injecting malicious SQL code through user inputs. These occur through direct concatenation of user input into SQL queries, improper use of parameterized queries, insufficient input sanitization, or second-order injection through stored data. The impact can include complete database compromise, data theft and destruction, and administrative database access.Cross-site scripting (XSS) vulnerabilities allow attackers to inject malicious scripts into web pages viewed by other users. They happen through inadequate output encoding when displaying user data, trusting user input in client-side JavaScript, DOM-based manipulation without proper sanitization, or server-side template injection. This can result in session hijacking, credential theft, malware distribution, and website defacement.Command injection flaws allow attackers to execute arbitrary system commands on the server through direct execution of system commands with user input, insufficient input validation for command parameters, shell metacharacter injection, or deserialization of untrusted data. These can lead to complete server compromise, data theft, lateral movement to other systems, and installation of persistent backdoors.
Race conditions arise when the timing or ordering of operations can be manipulated to bypass security controls. These occur through concurrent access to shared resources without proper locking, time-of-check to time-of-use vulnerabilities, inconsistent state updates in multi-threaded environments, or asynchronous operations with insufficient synchronization. They can enable double-spending in financial applications, inventory manipulation in e-commerce, privilege escalation through timing attacks, and data corruption.State machine violations happen when applications don’t properly enforce business workflow states and transitions. Common causes include missing validation of prerequisite states, allowing invalid state transitions, inconsistent state management across components, or time-based state assumptions that can be violated. These can result in workflow bypasses (like checkout without payment), process manipulation, financial fraud through state manipulation, and data integrity violations.Economic logic flaws in financial or economic logic can be exploited for monetary gain or loss. These typically involve integer overflow in financial calculations, rounding errors that can be exploited, missing validation of economic constraints, or incentive misalignment in reward systems. The impact includes direct financial theft, market manipulation, reward system gaming, and accounting discrepancies.
Cryptographic vulnerabilities arise from flaws in how cryptographic functions are implemented or used. These include using deprecated or weak cryptographic algorithms, improper key management and storage, insufficient randomness in key generation, or side-channel vulnerabilities in cryptographic operations. They can lead to decryption of sensitive data, digital signature forgery, password hash cracking, and communication interception.Security misconfigurations result from insecure default configurations or incorrect security settings. Common issues include using insecure default settings, exposing debugging or administrative interfaces, incorrect permission and access control configuration, or missing security headers and protections. These can cause information disclosure, unauthorized administrative access, data exposure through misconfigured databases, and cross-origin resource sharing bypass.
Kai uses specialized analysis techniques that combine pattern recognition with logical reasoning about application purpose, context-aware analysis that understands business logic, framework-specific knowledge applied to vulnerability discovery, and novel attack pattern generation through AI creativity. The verification-driven discovery process focuses on vulnerabilities that can be proven with working exploits, eliminates theoretical vulnerabilities that can’t be exploited, considers business context in vulnerability impact assessment, and validates real-world attack scenarios.Understanding the types of vulnerabilities Kai finds helps you appreciate the breadth of security coverage and prepare for the kinds of issues you might discover in your codebase.
