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GitHub Skill

break-filter-js-from-html

This skill provides guidance for XSS filter bypass tasks where the goal is to craft HTML payloads that execute JavaScript despite sanitization filters. Use this skill when tasks involve bypassing HTML sanitizers (like BeautifulSoup), exploiting parser differentials between server-side sanitizers and browsers, or security testing/CTF challenges involving XSS filter evasion.

letta-ai☆ 46 Repository stars7 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

XSS Filter Bypass Methodology

Overview

This skill provides a systematic approach for bypassing HTML/JavaScript sanitization filters in authorized security testing contexts (CTF challenges, penetration testing, security research). The methodology emphasizes understanding filter mechanisms before attempting bypasses, avoiding trial-and-error approaches in favor of systematic analysis.

Phase 1: Filter Analysis

Before attempting any bypasses, thoroughly analyze the filter implementation:

Identify the Sanitization Library
  • Determine which library performs sanitization (BeautifulSoup, DOMPurify, html-sanitizer, etc.)
  • Identify the parser being used (html.parser, lxml, html5lib for BeautifulSoup)
  • Research known quirks and bypass techniques for that specific library/parser combination
Map Filter Behavior

Create a systematic map of what the filter blocks vs. preserves:

  1. Blocked Elements: Test which HTML tags are removed

    • Script-related: <script>, <noscript>
    • Frame-related: <iframe>, <frame>, <object>, <embed>
    • Other dangerous: <base>, <link>, <meta>
  2. Blocked Attributes: Test which attributes are stripped

    • Event handlers: onclick, onload, onerror, onmouseover, etc.
    • URL attributes with javascript: href="javascript:...", src="javascript:..."
  3. Preserved Elements: Identify what passes through unchanged

    • Standard HTML elements: <div>, <span>, <p>, <img>, <a>, <style>
    • SVG elements: <svg>, <animate>, <set>
    • Math elements: <math>
Examine Filter Implementation
  • Read the filter source code if available
  • Look for regex-based filtering (often bypassable)
  • Check if filtering is case-sensitive
  • Determine if the filter runs once or recursively

Phase 2: Systematic Bypass Categories

Organize bypass attempts by category rather than random trial-and-error:

Category 1: Parser Differential Exploits

Different parsers interpret malformed HTML differently. The server-side sanitizer may parse HTML differently than the browser:

  • Nested tag confusion: <noscript><style></noscript><img src=x onerror=alert(1)></style>
  • Comment injection: <!--<script>-->alert(1)<!--</script>-->
  • Encoding mismatches: UTF-7, charset switching
Category 2: Alternative JavaScript Execution Vectors

If <script> is blocked, identify other execution paths:

  • SVG with script: <svg><script>alert(1)</script></svg>
  • SVG event handlers: <svg onload=alert(1)>
  • SVG animate: <svg><animate onbegin=alert(1)>
  • Math elements: <math><maction actiontype="statusline#http://evil">
Category 3: Event Handler Variations

If standard event handlers are blocked:

  • Less common events: onfocus, onblur, onanimationend, ontransitionend
  • Attribute injection: Breaking out of attribute context
  • Data attributes with event delegation
Category 4: URL-Based Execution
  • javascript: protocol in href: <a href="javascript:alert(1)">
  • data: URLs: <a href="data:text/html,<script>alert(1)</script>">
  • Encoded payloads: URL encoding, HTML entities, mixed encoding
Category 5: CSS-Based Attacks
  • CSS expressions (legacy IE): <div style="background:expression(alert(1))">
  • CSS injection for data exfiltration
  • @import with data URLs

Phase 3: Testing Methodology

Build a Testing Harness First

Before testing individual payloads, create infrastructure for efficient testing:

# Example: Test multiple payloads at once
payloads = [
    '<script>alert(1)</script>',
    '<img src=x onerror=alert(1)>',
    '<svg onload=alert(1)>',
    # ... more payloads
]

for payload in payloads:
    filtered = apply_filter(payload)
    print(f"Input: {payload}")
    print(f"Output: {filtered}")
    print(f"Preserved: {payload == filtered}")
    print("---")
Two-Stage Verification
  1. Stage 1 - Filter preservation: Does the payload survive the filter?
  2. Stage 2 - Browser execution: Does the filtered payload execute in the browser?

Run Stage 1 tests first to eliminate non-viable candidates before slower browser testing.

Document All Attempts

Maintain a log of:

  • What was tried
  • Why it failed (filtered out vs. didn't execute)
  • Insights gained for next attempt

Phase 4: Verification and Validation

Multiple Verification Steps
  • Run the verification test multiple times
  • Check all success criteria, not just the primary indicator
  • Examine the filtered output for anomalies (duplicate tags, malformed HTML)
Cross-Browser Considerations
  • A bypass working in Chrome may not work in Firefox or Safari
  • Identify which browser the test environment uses
  • Document browser-specific behavior
Handle Verification Discrepancies

If initial tests pass but final verification fails:

  • Re-read the task requirements
  • Check for additional validation steps
  • Examine timing issues or race conditions
  • Verify the test environment matches expectations

Common Pitfalls to Avoid

Premature Success Declaration
  • Do not celebrate after a single test pass
  • Run additional verification rounds
  • Check the overall task status, not just test output
Workarounds vs. Understanding
  • Avoid hacky workarounds that mask underlying issues
  • If the test expects files in unexpected locations, understand why before copying files
  • Workarounds may introduce inconsistencies
Inefficient Trial-and-Error
  • Do not try random XSS vectors without a systematic framework
  • Research before attempting; look up known bypass techniques first
  • Understand why previous attempts failed before trying similar approaches
Ignoring Malformed Output
  • Pay attention to duplicate or malformed tags in filtered output
  • Malformed output may indicate an unstable bypass
  • Question whether the solution is reliable
Missing Root Cause Analysis

When a bypass works, understand WHY:

  • How does the sanitizer parse the payload?
  • What browser behavior enables execution?
  • Is this a stable, reliable technique or a fragile edge case?

Reference Resources

For authorized security testing contexts, these resources provide bypass techniques:

  • OWASP XSS Filter Evasion Cheat Sheet
  • PortSwigger Web Security Academy
  • HTML5 Security Cheatsheet
  • BeautifulSoup documentation on parser differences
  • Browser-specific parsing quirks documentation

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-02-04
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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