mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
58 lines
2.1 KiB
Markdown
58 lines
2.1 KiB
Markdown
# API Reference — Hunting for Living-off-the-Cloud Techniques
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## Libraries Used
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- **elasticsearch** (elasticsearch-py): Query Elastic SIEM for cloud abuse indicators
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- **re**: Pattern matching against cloud C2 domain patterns in DNS logs
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## CLI Interface
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```
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python agent.py hunt --es-host <url> --index <pattern> [--api-key <key>] [--hours <n>]
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python agent.py dns --log-file <path>
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```
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## Core Functions
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### `hunt_lotc_elastic(es_host, es_index, api_key=None, hours=24)`
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Executes five pre-built hunting queries against Elasticsearch to detect cloud service abuse.
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**Parameters:**
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| Name | Type | Description |
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|------|------|-------------|
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| `es_host` | str | Elasticsearch host URL (e.g., `https://es:9200`) |
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| `es_index` | str | Index pattern (default: `logs-*`) |
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| `api_key` | str | Optional API key for authentication |
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| `hours` | int | Lookback window in hours |
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**Returns:** dict with `hunts` list (each with `name`, `description`, `hits`, `events`) and `total_hits`.
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### `analyze_dns_logs(log_file)`
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Scans DNS query log files for connections to known cloud services used for C2, staging, and exfiltration.
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**Parameters:**
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| Name | Type | Description |
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|------|------|-------------|
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| `log_file` | str | Path to DNS query log file |
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**Returns:** dict with `total_matches`, `findings` list, and `cloud_services_detected`.
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## Hunting Queries
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| Query Name | MITRE Technique | Description |
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|-----------|----------------|-------------|
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| `azure_storage_exfil` | T1567.002 | Large uploads to Azure Blob Storage |
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| `aws_s3_staging` | T1537 | Unusual S3 bucket creation or large PutObject |
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| `saas_c2_channel` | T1102 | Outbound connections to SaaS APIs (Telegram, Slack, Discord) |
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| `cloud_function_invoke` | T1584.007 | Cloud function invocation via LOLBins |
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| `github_raw_download` | T1105 | Payload downloads from raw GitHub content |
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## Elasticsearch API Calls
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- `Elasticsearch(hosts=[url], api_key=key)` — Initialize client
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- `es.search(index=pattern, body=query)` — Execute search query
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- Response: `resp["hits"]["total"]["value"]`, `resp["hits"]["hits"][]._source`
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## Dependencies
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```
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pip install elasticsearch>=8.0
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```
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