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sica-fondt/knowledge/cyber-skills/skills/reverse-engineering-ios-app-with-frida/assets/template.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

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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]