WebAssessment

Automate web app security assessment by applying threat modeling, OWASP/CWE mapping, and automated testing workflows to identify attack surfaces and generate a prioritized remediation plan. The process consolidates Recon results, browser automation, and risk scoring into a single coordinated workflow.

Yes, automated web vulnerability testing uses Playwright for browser-based testing and ffuf for content discovery. These tools integrate into the assessment workflow to automate reconnaissance and vulnerability detection across the target web application.

AI-assisted threat modeling for web applications identifies security requirements and maps them to OWASP and CWE standards. It analyzes the application's attack surface to generate a prioritized testing plan, combining automated browser results with risk scoring to highlight critical vulnerabilities.

Start a web application pentest by providing the target application's context and scope. The assessment workflow then maps the attack surface, applies threat modeling, and executes automated testing guides to deliver consolidated outputs with prioritized risk scoring.

AI-assisted web security testing integrates with Recon and PromptInjection skills to prioritize remediation. This integration combines automated vulnerability analysis with existing reconnaissance data to deliver comprehensive risk scoring and consolidated assessment outputs.

Automated web app pentesting workflows require clear application context and scope definition to function effectively. While they consolidate threat modeling and automated testing, complex logic flaws and business-logic vulnerabilities may still require manual verification beyond automated browser and content discovery results.