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Hunt Clickjacking

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elementalsouls
hunt-clickjacking

Hunt Clickjacking — missing X-Frame-Options / CSP frame-ancestors lets an attacker embed the target page in an invisible iframe and trick victims into clicking buttons they cannot see (UI redressing). Targets: login flows, money transfers, account settings, OAuth confirmation pages. Confirm by fetching the page, then PROVE it frames in a real browser and a sensitive state-changing action survives the cross-site context (SameSite cookies / framebusting JS can defeat it) — header-absence alone is not a finding.

Overview

Publisherelementalsouls
RepositoryClaude-BugHunter
Skill namehunt-clickjacking
Stars
4.5K
Forks
678
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elementalsouls on GitHub. Read the source before you install it.

Installation

Install the Hunt Clickjacking AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter
mkdir -p .claude/skills
cp -r /tmp/Claude-BugHunter/skills/hunt-clickjacking .claude/skills/hunt-clickjacking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Clickjacking in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Clickjacking on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Clickjacking is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

What is Clickjacking

Clickjacking (UI Redressing) lets an attacker load a target page inside a transparent iframe on a malicious site. The victim sees the attacker's decoy UI but clicks the hidden target UI beneath it. No JavaScript on the target is required.

Highest-value targets:

  • Login / authentication pages — force login with attacker credentials
  • Money transfer / checkout / "confirm payment" buttons
  • Account settings (email change, password change, 2FA disable)
  • OAuth / social-login "Authorize app" confirmation dialogs
  • Admin actions (delete, promote user, change role)

Protection Headers

Two mechanisms prevent framing:

X-Frame-Options: DENY              # strongest — blocks all framing
X-Frame-Options: SAMEORIGIN        # allows same-origin frames only
Content-Security-Policy: frame-ancestors 'none'     # CSP equivalent of DENY
Content-Security-Policy: frame-ancestors 'self'     # CSP equivalent of SAMEORIGIN

If NEITHER is present, the page is frameable from any origin.

How to Test

Header-absence is the trigger for investigation, not the finding. Two steps:

Step 1 — Header check (screening). Fetch the target page and inspect the response headers:

curl -sI https://target.example/account/transfer | grep -iE 'x-frame-options|content-security-policy'

If BOTH X-Frame-Options and CSP frame-ancestors are absent, the page is a candidate. If either is present and restrictive (DENY/SAMEORIGIN/frame-ancestors 'none'|'self'), stop — it's protected.

Step 2 — Prove it actually frames and clicks (required for a real finding). Build a minimal PoC and load it in a real browser:

html
<!doctype html>
<h1>Win a prize — click below</h1>
<iframe src="https://target.example/account/transfer"
        style="opacity:0.1;position:absolute;top:0;left:0;width:1000px;height:800px"></iframe>

Confirm ALL of the following, or it is not exploitable:

  • The page actually renders inside the iframe (no framebusting JS that blanks/redirects it — e.g. if(top!==self) breakout, or a Sec-Fetch-Dest/JS frame check).
  • The sensitive action still works while framed — critically, the action must succeed cross-site. If it relies on a session cookie set SameSite=Lax or SameSite=Strict (the modern default), the cookie is not sent on the cross-site framed request, and the clickjack fails. Verify the victim's authenticated state carries into the frame.
  • The target is a state-changing action (transfer, settings/email/password change, 2FA disable, OAuth authorize, admin action), not a read-only page.

Strategy: target the most sensitive action pages first — severity scales directly with what the victim is tricked into doing.

False Positives

  • Public, read-only pages (home/marketing) lacking frame protection are low/informational — no sensitive action to redress.
  • APIs and non-HTML endpoints (JSON, images) are not clickjacking targets.
  • Header-absence alone is NOT a finding. SameSite cookies, framebusting JS, or the lack of any sensitive framed action can each fully defeat it — which is why Step 2 is mandatory.

Proof Requirements

A valid clickjacking report shows: (1) the target page rendered inside an attacker-controlled iframe in a real browser, (2) a sensitive state-changing action reachable by a framed click while the victim is authenticated (cookies survive the cross-site context), and (3) a screenshot/recording of the overlay. Reporting missing headers with no working frame PoC is a documentation-quality issue, not a vulnerability.

Frequently asked questions

What does the Hunt Clickjacking AI skill do?

Hunt Clickjacking — missing X-Frame-Options / CSP frame-ancestors lets an attacker embed the target page in an invisible iframe and trick victims into clicking buttons they cannot see (UI redressing). Targets: login flows, money transfers, account settings, OAuth confirmation pages. Confirm by fetching the page, then PROVE it frames in a real browser and a sensitive state-changing action survives the cross-site context (SameSite cookies / framebusting JS can defeat it) — header-absence alone is not a finding.

Why use Hunt Clickjacking on TypingMind?

Because you install it once and use it with any model. Hunt Clickjacking is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Clickjacking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-clickjacking. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Clickjacking?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Clickjacking?

As many as you like. As long as a model supports skills, you can use Hunt Clickjacking with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Clickjacking AI skill free?

Yes. It is published on GitHub by elementalsouls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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