# Performing Clickjacking Attack Test

> Use when testing web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments. Use when working with performing clickjacking attack test.

- Skill: `oyi77/performing-clickjacking-attack-test` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/performing-clickjacking-attack-test`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/performing-clickjacking-attack-test/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/performing-clickjacking-attack-test

---


# Performing Clickjacking Attack Test

## Overview

Cybersecurity skill for performing clickjacking attack test. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "performing clickjacking attack test"
- "Testing web applications for clickjacking vulnerabilities by assessing frame emb"


- During authorized penetration tests when assessing UI redressing vulnerabilities
- When testing whether sensitive actions (delete account, transfer funds, change settings) can be performed via clickjacking
- For evaluating the effectiveness of X-Frame-Options and Content-Security-Policy frame-ancestors directives
- When assessing applications that process one-click actions without additional confirmation
- During security audits of applications handling financial transactions or account management


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites

- **Authorization**: Written penetration testing agreement for the target
- **Web browser**: Modern browser for testing iframe embedding
- **Local web server**: Python `http.server` or similar for hosting PoC pages
- **Burp Suite**: For examining response headers
- **HTML/CSS knowledge**: For crafting clickjacking overlay pages
- **curl**: For checking framing headers on target pages


> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Plan Operations** — Define objectives, scope, and success criteria for clickjacking attack test operations.
2. **Prepare Environment** — Set up tools, access, and data sources required for clickjacking attack test.
3. **Execute Core Workflow** — Perform the clickjacking attack test operations following established procedures.
4. **Validate Results** — Verify that results meet quality standards and objectives.
5. **Report Findings** — Document results, observations, and recommendations.
6. **Follow Up** — Track remediation actions and verify fixes where applicable.

## Tools

- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All clickjacking attack test procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |