Proposed changes

• Removes github.com/BishopFox/jsluice and its go-tree-sitter CGO dependency
• Replaces it with a pure-Go JavaScript AST-based URL extractor using github.com/dop251/goja parser
• Removes platform-specific build tags (parser_generic.go, parser_nojs.go) — extraction now works on all platforms including 386 and Windows

Implementation

• New pkg/utils/jsextract package that parses JavaScript with goja and walks the AST to extract URL endpoints
• Detects URLs from: fetch(), XHR .open(), window.open(), location assignments, jQuery/axios calls, setAttribute(), string literals, template literals, and string concatenation
• Falls back to regex extraction when JavaScript parsing fails
• Comprehensive test suite covering all extraction patterns

Proof

Test plan:

• Added unit tests in pkg/utils/jsextract/extractor_test.go covering fetch, XHR, location, window.open, string literals, template literals, string concatenation, jQuery/axios, setAttribute, arrow functions, classes, and regex fallback
• Existing pkg/utils/jsluice_test.go tests pass against the new implementation
• Full go test ./… passes with no failures
• updated documentation

Checklist

• Pull request is created against the dev branch
• All checks passed (lint, unit/integration/regression tests etc.) with my changes
• I have added tests that prove my fix is effective or that my feature works
• I have added necessary documentation (if appropriate)

fixes #1367 /claim #1367

Summary by CodeRabbit

• New Features

  • Added an AST-driven JavaScript URL extraction utility to detect endpoints more robustly.

• Improvements

  • Replaced prior JS parsing with AST analysis for improved accuracy and cross-platform parsing.
  • Simplified build/install by removing forced CGO enablement.

• Documentation

  • Updated CLI flag text and installation instructions to reflect the new parsing approach.

• Tests

  • Expanded unit tests and benchmarks to cover many JS patterns and extraction scenarios.

• Chores

  • Reduced build-stage tooling in the container image.