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
61 lines
2.1 KiB
Markdown
61 lines
2.1 KiB
Markdown
# API Reference: Static Malware Analysis with PE Studio Agent
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## Overview
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Performs automated static analysis of Windows PE binaries using pefile to inspect headers, sections, imports, strings, and resources for malware indicators.
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## Dependencies
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| Package | Version | Purpose |
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|---------|---------|---------|
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| pefile | >= 2023.2.7 | PE file parsing and section analysis |
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| hashlib | stdlib | MD5, SHA-1, SHA-256 hash computation |
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## Core Functions
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### `compute_hashes(filepath)`
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Generates MD5, SHA-1, SHA-256 hashes and file size.
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- **Returns**: `dict` with `md5`, `sha1`, `sha256`, `size`
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### `analyze_sections(pe)`
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Inspects PE sections for entropy, virtual/raw size ratios, and packing indicators.
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- **Flags**: `HIGH_ENTROPY` (>7.0), `HIGH_VR_RATIO` (>10x)
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- **Returns**: `list[dict]` - section analysis entries
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### `detect_packer(pe)`
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Identifies known packer section names (UPX, ASPack, VMProtect, Themida) and low import counts.
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- **Returns**: `list[str]` - detected packer names
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### `analyze_imports(pe)`
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Categorizes imports into Process Injection, Keylogging, Persistence, Evasion, Network, Crypto.
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- **Returns**: `list[dict]` with `category`, `dll`, `function`
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### `extract_strings(filepath, min_length=6)`
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Extracts ASCII strings and classifies into URLs, IPs, emails, registry keys, file paths.
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- **Returns**: `dict[str, list[str]]` - categorized string indicators
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### `analyze_resources(pe)`
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Inspects PE resources for high-entropy data and embedded PE files.
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- **Returns**: `list[dict]` with `type_id`, `size`, `entropy`, `flags`
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### `analyze_pe(filepath)`
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Full analysis pipeline producing structured report.
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- **Returns**: `dict` - complete analysis report
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## Suspicious Import Categories
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| Category | Example Functions |
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|----------|-------------------|
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| Process Injection | VirtualAllocEx, WriteProcessMemory, CreateRemoteThread |
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| Keylogging | GetAsyncKeyState, SetWindowsHookExA |
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| Persistence | RegSetValueExA, CreateServiceA |
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| Evasion | IsDebuggerPresent, CheckRemoteDebuggerPresent |
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| Network | InternetOpenA, URLDownloadToFileA, WSAStartup |
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| Crypto | CryptEncrypt, CryptDecrypt |
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## Usage
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```bash
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python agent.py suspect.exe
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```
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