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 Persistence Mechanisms in Windows

Libraries Used

subprocess: Execute reg query, schtasks, wmic commands to enumerate persistence
csv: Parse schtasks CSV output for scheduled task analysis
re: Pattern matching for suspicious command-line indicators

CLI Interface

python agent.py registry    # Enumerate registry Run keys
python agent.py tasks       # Enumerate scheduled tasks
python agent.py services    # Enumerate suspicious services
python agent.py all         # Run all persistence hunts

Core Functions

`enumerate_registry_persistence()`

Queries 11 common registry persistence locations using reg query and flags entries matching suspicious indicators.

Returns: dict with total_entries, suspicious_entries, and findings list (each with key, name, type, value, suspicious).

`enumerate_scheduled_tasks()`

Runs schtasks /query /fo CSV /v and flags tasks with suspicious actions or non-Microsoft authors.

Returns: dict with total_tasks, suspicious_tasks, and findings list.

`enumerate_services()`

Uses wmic service get to list services and flags those running from unusual filesystem paths.

Returns: dict with total_services, suspicious_services, and filtered findings.

`parse_reg_output(output, parent_key)`

Parses reg query text output into structured entries with key, name, type, value fields.

Registry Keys Checked

Key Path	Persistence Type
`HKLM\...\CurrentVersion\Run`	Auto-start programs
`HKLM\...\Winlogon`	Logon scripts, shell replacement
`HKLM\...\Active Setup`	Per-user component execution
`HKLM\...\Services`	Service binary paths
`HKLM\...\Image File Execution Options`	Debugger hijacking

Suspicious Indicators

Patterns flagging entries: \\temp\\, powershell.*-enc, mshta.exe, rundll32.exe, base64, downloadstring, \\users\\public\\

Dependencies

No external packages required — uses only Python standard library and Windows built-in commands.

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