Caido is a lightweight web security auditing toolkit that enables security professionals to efficiently analyze web applications through real-time HTTP request interception, automated testing, and customizable workflows. The platform addresses the complexity of security audits by providing tools for project management and visualizing website structures, streamlining the auditing process.
Funding
Funding not disclosed
Founders
Product
Problem
Web application security audits are complex, requiring security professionals to manually analyze HTTP requests and website structures, which can be time-consuming and inefficient. Existing tools often lack the necessary features for effective project management and real-time visualization of website structures.
Solution
Caido is a lightweight web security auditing toolkit designed to streamline the analysis of web applications. It enables security professionals to efficiently audit web applications through real-time HTTP request interception, automated testing, and customizable workflows. The platform simplifies security tasks by providing tools for project management, visualizing website structures, and filtering HTTP requests, enhancing productivity and reducing complexity. Caido's client/server architecture allows users to run the tool on any device or VPS and access instances via a browser or desktop application.
Target Audience
Caido is designed for security professionals and enthusiasts who need to audit web applications efficiently and effectively.
Features
- Real-time HTTP request interception and proxying
- Ability to replay and resend existing and custom requests for manual endpoint testing
- Automated request customization and testing against wordlists
- Real-time visualization of website structure through sitemap generation
- Match and replace functionality for automatic modification of incoming requests using regex rules
- Customizable workflows for creating custom encoders/decoders
- HTTPQL for filtering through HTTP requests
- Plugin support for extending functionality with minimal coding