Skip to content
Dreadnode Dreadnode Dreadnode

Web App Pentesting

AI agents can crawl, test, and verify web vulnerabilities at scale—but only if they have the right tools, isolation, and telemetry. This guide shows how to run web pentesting workflows with the dreadweb CLI capability.

The Problem

Section titled “The Problem”

Traditional web pentesting is time-intensive and hard to repeat. Teams need a way to:

  • Automate reconnaissance and testing.
  • Capture evidence and artifacts for review.
  • Re-run the same checks after code changes.

How Dreadnode Helps

Section titled “How Dreadnode Helps”
  • dreadweb capability bundles browser + HTTP tools designed for web security work.
  • Sandboxed execution keeps tests isolated from your local environment.
  • Telemetry and artifacts make it easy to review findings and reproduce results.

Set up a web pentesting workflow

Section titled “Set up a web pentesting workflow”

Launch the CLI with the dreadweb capability enabled:

Terminal window
dreadnode --cap dreadweb -m openai/gpt-4o

From there, you can instruct the agent to enumerate targets, test inputs, and collect evidence in a single session.

Available tools and techniques

Section titled “Available tools and techniques”

The dreadweb capability combines a browser sandbox with targeted security tools, including:

  • HTTP client + crawler for endpoint discovery and parameter mapping.
  • Credential store to manage auth headers and session cookies.
  • Reporter to capture findings, evidence, and summaries.
  • Memory and callback tools to track context during long-running scans.

Use these tools to automate common techniques like:

  • IDOR and authorization checks
  • SQL injection and XSS probing
  • File upload and path traversal testing
  • Authentication and session workflow analysis

Interpreting Results

Section titled “Interpreting Results”
  • Artifacts (reports, screenshots, logs) capture evidence for verification.
  • Telemetry traces show the full tool call sequence for each finding.
  • Result summaries help prioritize remediation by severity and confidence.

Best Practices and Limitations

Section titled “Best Practices and Limitations”
  • Run against staging or scoped targets first.
  • Use least-privilege credentials and rotate secrets after tests.
  • Treat agent output as candidate findings—verify before reporting.
  • Respect rate limits and scope boundaries when crawling and fuzzing.