mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 16:40:24 +00:00
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
49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
# API Reference — Performing Malware IOC Extraction
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## Libraries Used
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- **re**: Regex patterns for 16 IOC types including defanged indicators
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- **hashlib**: MD5, SHA1, SHA256 file hashing
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- **pathlib**: File reading (text and binary)
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## CLI Interface
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```
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python agent.py text --file threat_report.txt
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python agent.py hash --file malware.exe
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python agent.py strings --file malware.exe [--min-length 6]
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python agent.py report --file malware.exe [--output iocs.json]
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```
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## Core Functions
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### `extract_iocs_from_text(text)` — Extract IOCs with defanging support
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Handles defanged indicators: `[.]` -> `.`, `hxxp` -> `http`. Filters private IPs.
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### `extract_from_file(file_path)` — Extract IOCs from text/report files
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### `hash_file(file_path)` — Calculate MD5/SHA1/SHA256 hashes
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### `extract_strings(file_path, min_length)` — Binary string extraction
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Extracts ASCII and wide (UTF-16LE) strings. Identifies suspicious API calls and keywords.
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### `generate_ioc_report(file_path, output)` — Full analysis report
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## IOC Pattern Types (16)
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| Type | Example |
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|------|---------|
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| ipv4 | 192.168.1.1 (private filtered) |
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| domain | evil.example.com |
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| url | https://malware.example.com/payload |
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| md5/sha1/sha256 | File hashes |
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| cve | CVE-2024-12345 |
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| registry_key | HKLM\Software\... |
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| file_path_windows | C:\Windows\Temp\mal.exe |
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| mutex | Global\MutexName |
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| mitre_technique | T1059.001 |
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| bitcoin_addr | Bitcoin wallet address |
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| user_agent | Mozilla/5.0 strings |
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## Suspicious String Keywords
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CreateRemoteThread, VirtualAlloc, WriteProcessMemory, LoadLibrary,
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GetProcAddress, WinExec, ShellExecute, powershell, cmd.exe
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## Dependencies
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No external packages — Python standard library only.
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