Bright Security DAST vs Wapiti

Bright Security DAST is a dynamic application security testing tool offered as SaaS. It tests websites, web applications, APIs including REST, SOAP, and GraphQL, servers, and network devices; it also tests mobile applications on the server side. Checks include SQL injection, CSRF, XSS, XXE, and business logic vulnerabilities. Bright says it validates findings in real time and does not report issues it cannot validate, with less than 3% false positives among its verified findings. Target discovery can use a crawler, HAR recording, or GraphQL and OpenAPI schemas. Authentication objects let scans reach login-protected application and API resources. Teams can initiate scans from CI/CD pipelines and control them through the CLI or REST API without using the interface. The CLI's Repeater mode routes requests to local targets without exposing them to the internet. Bright lists SaaS, private cloud, and Repeater proxy deployment options. Scan quantity is unlimited, but the number of concurrent scans depends on the organization's engine count. Bright says scan data is held in memory temporarily and deleted after scanning. The tool cannot handle CAPTCHA during scans. Pricing is available on request, with a demo offered.

Wapiti is a free, open-source command-line scanner for auditing websites and web applications with black-box crawling and injected tests. Its modules check SQL and LDAP injection, cross-site scripting, file disclosure, command execution, XXE, SSRF, open redirects, file uploads, and TLS configuration. It can scan REST APIs from OpenAPI files and inspect security headers, cookie flags, CSP settings, and related controls. Authentication options include Basic, Digest, NTLM, login forms, browser-cookie import, and custom Python scripts. Wapiti supports HTTP, HTTPS, and SOCKS5 proxies, browser exploration through a man-in-the-middle proxy, and headless Firefox crawling. Reports can be exported as HTML, XML, JSON, TXT, CSV, or Markdown. Users can limit scope, exclude URLs, adjust crawler behavior, set time limits, and control concurrent tasks. Installation uses pip and requires Python 3.12, 3.13, or 3.14. It runs on Linux, macOS, and Windows through WSL, with self-hosted deployment.