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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
42 lines
1.4 KiB
Markdown
42 lines
1.4 KiB
Markdown
# API Reference — Performing Dynamic Analysis of Android App
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## Libraries Used
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- **frida**: Dynamic instrumentation for runtime hooking and SSL pinning detection
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- **subprocess**: ADB commands for package management, traffic capture, component analysis
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## CLI Interface
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```
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python agent.py [--device <id>] packages
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python agent.py [--device <id>] ssl --package <pkg>
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python agent.py [--device <id>] components --package <pkg>
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python agent.py [--device <id>] storage --package <pkg>
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python agent.py [--device <id>] network [--duration 30]
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```
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## Core Functions
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### `check_ssl_pinning(package_name, device_id)`
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Uses Frida to hook TrustManagerImpl and OkHostnameVerifier to detect SSL pinning.
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### `analyze_exported_components(package_name, device_id)`
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Runs `dumpsys package` to enumerate exported activities, services, receivers, providers.
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### `check_data_storage(package_name, device_id)`
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Checks shared_prefs and world-readable files via `run-as` for insecure storage.
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### `capture_network_traffic(device_id, duration, output)`
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Runs `tcpdump` on device and pulls pcap via ADB.
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## Frida API Calls
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- `frida.get_usb_device()` — Connect to USB device
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- `device.spawn([package])` — Launch app
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- `session.create_script(js)` — Inject JavaScript
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- `script.on("message", callback)` — Receive hook results
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## Dependencies
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```
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pip install frida frida-tools
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# ADB must be installed and device connected
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```
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