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Anthropic-Cybersecurity-Skills/skills/reverse-engineering-ios-app-with-frida/assets/template.md
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# iOS Reverse Engineering Assessment Report
## Target Application
| Field | Value |
|-------|-------|
| App Name | [NAME] |
| Bundle ID | [BUNDLE_ID] |
| Binary Type | [Objective-C/Swift/Mixed] |
| iOS Version | [VERSION] |
| FairPlay Encrypted | [YES/NO] |
| Analysis Date | [DATE] |
## Class Enumeration
| Class Name | Method Count | Category |
|-----------|-------------|----------|
| [CLASS] | [N] | [Auth/Crypto/Network/Storage] |
## Hooked Methods and Findings
### [METHOD_SIGNATURE]
- **Arguments observed**: [ARGS]
- **Return values**: [RETURNS]
- **Security implication**: [DESCRIPTION]
## Extracted Secrets
| Type | Location | Value (redacted) | Risk |
|------|----------|-----------------|------|
| [API Key/Token/Password] | [CLASS.METHOD] | [REDACTED] | [RISK] |
## Binary Protection Assessment
| Protection | Status | Details |
|-----------|--------|---------|
| Jailbreak Detection | [Present/Absent] | [DETAILS] |
| Frida Detection | [Present/Absent] | [DETAILS] |
| Code Obfuscation | [Yes/No] | [DETAILS] |
| Anti-Debug | [Present/Absent] | [DETAILS] |
## Recommendations
1. [RECOMMENDATION]