Claude 24f816b6a3
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

1.8 KiB

API Reference: IOC Enrichment Pipeline with OpenCTI

pycti — OpenCTI Python Client

Installation

pip install pycti

Client Initialization

from pycti import OpenCTIApiClient

client = OpenCTIApiClient(
    url="http://localhost:8080",
    token=os.environ.get("OPENCTI_TOKEN", "")
)

Indicator Operations

# List indicators with filter
filters = {
    "mode": "and",
    "filters": [{"key": "value", "values": ["198.51.100.42"]}],
    "filterGroups": []
}
indicators = client.indicator.list(filters=filters)

# Create indicator
client.indicator.create(
    name="Malicious IP",
    pattern="[ipv4-addr:value = '198.51.100.42']",
    pattern_type="stix",
    x_opencti_score=80,
    valid_from="2025-01-01T00:00:00Z"
)

Observable Operations

# Search observables
obs = client.stix_cyber_observable.list(filters=filters)

# Create observable
client.stix_cyber_observable.create(
    observableData={
        "type": "ipv4-addr",
        "value": "198.51.100.42"
    }
)

Relationship Queries

# Get relationships from entity
rels = client.stix_core_relationship.list(
    filters={
        "mode": "and",
        "filters": [{"key": "fromId", "values": [entity_id]}],
        "filterGroups": []
    }
)

OpenCTI GraphQL API

Endpoint

POST /graphql
Authorization: Bearer <token>
Content-Type: application/json

Example Query

query {
  indicators(filters: {
    mode: and
    filters: [{ key: "value", values: ["198.51.100.42"] }]
    filterGroups: []
  }) {
    edges {
      node {
        id
        pattern
        x_opencti_score
        createdBy { name }
        objectLabel { value }
      }
    }
  }
}

STIX Indicator Patterns

Type STIX Pattern
IPv4
Domain
URL
SHA-256
MD5
Email