Fuzzing is an automated software testing technique where large amounts of random or semi-structured data (also called 'fuzz') are inputted into a program or system to discover unexpected behavior. The goal is to uncover vulnerabilities such as security flaws, crashes, or performance issues by bombarding the system with inputs that may not be properly handled.
The fuzzing process can be conducted in various ways, including using specially designed fuzzing tools or frameworks. These tools automatically generate a variety of inputs to be sent to the software under test. The software's response to these inputs is monitored, and if unexpected behavior is detected (such as a crash or unexpected output), it is considered a potential vulnerability and documented.
Fuzzing is an extremely effective method for identifying software defects and vulnerabilities, especially in complex and error-prone systems such as operating systems, network services, browsers, and embedded systems. It is used by both security researchers and software developers to enhance the robustness and reliability of software
A JSON Web Token (JWT) is a compact, secure, and self-describing format for exchanging information between parties. It consists of a JSON structure that has three parts: the header, the payload, and the signature.
Header: The header contains metadata about the type of the token and the signature algorithm used.
Payload: The payload contains the actual claims or information carried by the token. These claims can include user data, roles, permissions, etc.
Signature: The signature is used to ensure that the token has not been tampered with. It is created by signing the header, payload, and a secret key (known only to the issuer of the token).
JWTs are commonly used for authentication and authorization in web applications. For example, they can be used to authenticate users after login and grant them access to specific resources by being stored in HTTP headers or HTTP cookies and exchanged between the client and the server.