mirror of https://github.com/SHOGGOTH-SECTOR/sica-fondt.git synced 2026-08-01 08:30:20 +00:00

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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API Reference — Hunting for Registry Persistence Mechanisms

Libraries Used

subprocess: Execute reg query /s to enumerate registry persistence keys
re: Pattern matching for suspicious values in registry entries
json: Baseline file I/O and structured output

CLI Interface

python agent.py scan [--categories run_keys winlogon ifeo] [--save-baseline out.json]
python agent.py compare --baseline baseline.json

Core Functions

`scan_persistence_keys(categories=None)`

Enumerates registry persistence keys across 8 categories and flags suspicious entries.

Parameters:

Name	Type	Description
`categories`	list	Optional subset of categories to scan (default: all 8)

Returns: dict with categories map, all_suspicious list, and total_suspicious count.

`compare_baseline(baseline_file, current_scan=None)`

Compares current registry state against a saved baseline to detect new persistence entries.

Parameters:

Name	Type	Description
`baseline_file`	str	Path to baseline JSON file from previous scan

Returns: dict with baseline_entries count, new_entries count, and findings list.

Registry Categories Scanned

Category	Keys	MITRE Technique
`run_keys`	Run, RunOnce, RunOnceEx	T1547.001
`winlogon`	Winlogon Shell, Userinit	T1547.004
`ifeo`	Image File Execution Options	T1546.012
`appinit`	AppInit_DLLs	T1546.010
`shell_extensions`	ShellExecuteHooks	T1546.015
`browser_helpers`	Browser Helper Objects	T1176
`com_hijack`	CLSID overrides in HKCU	T1546.015
`boot_execute`	BootExecute, Session Manager	T1542.003

Dependencies

No external packages required — uses Python standard library and reg.exe.

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