hunting-mobile-tapjacking-and-overlay-abuse SKILL.md skillA

hunting-mobile-tapjacking-and-overlay-abuse from unboundcompute/security-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add unboundcompute/security-agent-skills/hunting-mobile-tapjacking-and-overlay-abuse@git:20260908.e3ae18a

Pins git:20260908.e3ae18a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
unboundcompute/security-agent-skills
Path
skills/hunting-mobile-tapjacking-and-overlay-abuse/SKILL.md
Versions recorded
1
Latest version
git:20260908.e3ae18a, committed Sep 8, 2026
Size
10,204 bytes
Repository stars
26
License
MIT

Hunt mobile interface redressing, where another app draws over or intercepts a sensitive screen so the user acts on the attacker's terms without knowing it, approving a permission, confirming a transaction, or entering a secret while an overlay hides or fakes what they are really touching, because the sensitive screen does not detect that it is obscured, does not filter touches passed through an overlay, or does not bind the confirmation to what the user actually saw. Use when a mobile app…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Hunting mobile tapjacking and overlay abuse: when a tap lands on a screen the user cannot see

A mobile user acts by touching what they see, and that trust breaks when another app can draw over the screen
or intercept the interaction. An overlay app puts its own window on top of a sensitive screen, a permission
grant, a payment confirmation, a credential prompt, and either hides what the user is really touching or fakes
a benign interface over it, so the tap the user believes is dismissing a game lands on the real approve
button underneath. Related abuses intercept rather than draw: an accessibility-style service drives the
interaction programmatically. The sensitive screen is complicit when it accepts a touch it cannot confirm the
user saw: it does not detect that it is obscured, does not filter touches that passed through an overlay, or
confirms an action without binding the confirmation to what was actually displayed. The bug is a consequential
approval taken while the screen cannot vouch for what the user saw or touched. You hunt these by finding every
sensitive screen and checking whether it defends against being overlaid or driven.

## When to use
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unboundcompute/security-agent-skills/hunting-mobile-tapjacking-and-overlay-abuse@sha256:ed3cd658a9030e0e

The line at the top of this page pins the label git:20260908.e3ae18a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jkwix722ylmyhol3.svg)](https://markdownregistry.com/a/art_jkwix722ylmyhol3)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 8, 2026.

versioncommittedcommitsizeaudit
git:20260908.e3ae18a latest2026-09-08 e3ae18a 10,204 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10204 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

unboundcompute/security-agent-skills · 26 stars · license MIT · pushed 2026-09-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jkwix722ylmyhol3
GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/hunting-mobile-tapjacking-and-overlay-abuse
GET https://markdownregistry.com/api/v1/blob/ed3cd658a9030e0e68dcc107d3d350f68c8b7e1faf69bfea4e80c5d9699cd7c7

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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