mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
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
51 lines
2.0 KiB
Markdown
51 lines
2.0 KiB
Markdown
# API Reference — Hunting for Persistence Mechanisms in Windows
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## Libraries Used
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- **subprocess**: Execute `reg query`, `schtasks`, `wmic` commands to enumerate persistence
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- **csv**: Parse schtasks CSV output for scheduled task analysis
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- **re**: Pattern matching for suspicious command-line indicators
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## CLI Interface
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```
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python agent.py registry # Enumerate registry Run keys
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python agent.py tasks # Enumerate scheduled tasks
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python agent.py services # Enumerate suspicious services
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python agent.py all # Run all persistence hunts
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```
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## Core Functions
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### `enumerate_registry_persistence()`
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Queries 11 common registry persistence locations using `reg query` and flags entries matching suspicious indicators.
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**Returns:** dict with `total_entries`, `suspicious_entries`, and `findings` list (each with `key`, `name`, `type`, `value`, `suspicious`).
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### `enumerate_scheduled_tasks()`
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Runs `schtasks /query /fo CSV /v` and flags tasks with suspicious actions or non-Microsoft authors.
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**Returns:** dict with `total_tasks`, `suspicious_tasks`, and `findings` list.
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### `enumerate_services()`
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Uses `wmic service get` to list services and flags those running from unusual filesystem paths.
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**Returns:** dict with `total_services`, `suspicious_services`, and filtered `findings`.
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### `parse_reg_output(output, parent_key)`
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Parses `reg query` text output into structured entries with key, name, type, value fields.
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## Registry Keys Checked
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| Key Path | Persistence Type |
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|----------|-----------------|
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| `HKLM\...\CurrentVersion\Run` | Auto-start programs |
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| `HKLM\...\Winlogon` | Logon scripts, shell replacement |
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| `HKLM\...\Active Setup` | Per-user component execution |
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| `HKLM\...\Services` | Service binary paths |
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| `HKLM\...\Image File Execution Options` | Debugger hijacking |
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## Suspicious Indicators
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Patterns flagging entries: `\\temp\\`, `powershell.*-enc`, `mshta.exe`, `rundll32.exe`, `base64`, `downloadstring`, `\\users\\public\\`
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## Dependencies
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No external packages required — uses only Python standard library and Windows built-in commands.
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