'Use when tests and exploits deep link (URL scheme and App Link) vulnerabilities
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill exploiting-deeplink-vulnerabilities --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: exploiting-deeplink-vulnerabilities
description: 'Use when tests and exploits deep link (URL scheme and App Link) vulnerabilities
in Android and iOS mobile applications to identify unauthorized access, data injection,
intent hijacking, and redirect manipulation. Use when assessing mobile app attack
surface through custom URI schemes, Android App Links, iOS Universal Links, or intent-based
navigation. Activates for requests involving deep link security testing, URL scheme
exploitation, mobile intent abuse, or link hijacking.
'
domain: cybersecurity
tags:
- mobile-security
- android
- ios
- deep-links
- owasp-mobile
- penetration-testing
subdomain: mobile-security
author: oyi77
version: 1.0.0
license: Apache-2.0
nist_csf:
- PR.PS-01
- PR.AA-05
- ID.RA-01
- DE.CM-09
category: cybersecurity
---
# Exploiting Deeplink Vulnerabilities
## Overview
Cybersecurity skill for exploiting deeplink vulnerabilities. Follows industry best practices and security standards.
## When to Use
**Trigger phrases:**
- "exploiting deeplink vulnerabilities"
- "Assessing mobile app deep link handling for injection and redirect vulnerabiliti"
- "Testing Android intent filters and iOS URL scheme handlers for unauthorized acce"
- "Evaluating App Links (Android) and Universal Links (iOS) verification"
Use this skill when:
- Assessing mobile app deep link handling for injection and redirect vulnerabilities
- Testing Android intent filters and iOS URL scheme handlers for unauthorized access
- Evaluating App Links (Android) and Universal Links (iOS) verification
- Testing for link hijacking via competing app registrations
**Do not use** without authorization -- deep link exploitation can trigger unintended actions in target applications.
## 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
- Android device with ADB or iOS device with Objection/Frida
- APK decompiled with apktool or JADX for AndroidManifest.xml analysis
- Knowledge of target app's registered URL schemes and intent filters
- Drozer for Android intent testing
- Burp Suite for intercepting deep link-triggered API calls
## 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. **Reconnaissance** — Gather information about the target related to deeplink vulnerabilities. Identify attack surface.
2. **Vulnerability Identification** — Enumerate potential deeplink vulnerabilities weaknesses using automated and manual techniques.
3. **Exploit Development/Selection** — Choose or develop exploits targeting identified deeplink vulnerabilities vulnerabilities.
4. **Execution** — Execute the deeplink vulnerabilities test in a controlled manner with proper authorization.
5. **Post-Exploitation** — Document the impact and extent of successful exploitation.
6. **Reporting** — Write detailed findings with reproduction steps, impact assessment, and remediation guidance.
## Tools
- **Vulnerability Scanner** — Automated weakness identification
- **Exploitation Framework** — Controlled exploitation testing
- **Reporting Tool** — Findings documentation and tracking
## 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 deeplink vulnerabilities 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. |Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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