feat(opencti): new OpenCTI threat-intelligence integration

Add a marketplace integration for the OpenCTI platform (GraphQL API,
compatible with OpenCTI 5.x/6.x), built on the Python pycti client and
run from a remote engine.

26 commands: observables (list/create/delete/field update/add/remove),
indicators (list/create/update/field add/remove, types), incidents
(list/create/delete, types) with an OCSF ingestion mapper, relationships
(list/create/delete), and reference data (organizations, labels, marking
definitions, external references).

- Ingestion: get_incidents to an OCSF finding mapper + an OpenCTI Incident type.
- Auth: user API key (Bearer) via pycti; requires pip install pycti on
  the engine host.
- Scripts are self-contained (INTEGRATION_SECRETS/INTEGRATION_INPUTS in,
  JSON out) following the established marketplace pattern.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Guillaume BOURGEOIS
2026-06-29 23:24:57 +02:00
parent 0263619e30
commit c406edb5e7
29 changed files with 2353 additions and 0 deletions
@@ -0,0 +1,137 @@
import json, os, sys
S = json.loads(os.environ.get("INTEGRATION_SECRETS", "{}"))
I = json.loads(os.environ.get("INTEGRATION_INPUTS", "{}"))
def out(value):
print(json.dumps(value, default=str))
def fail(message, **extra):
payload = {"error": message}
payload.update(extra)
print(json.dumps(payload, default=str))
sys.exit(1)
def as_bool(v):
return v if isinstance(v, bool) else str(v).lower() in ("1", "true", "yes")
def as_int(v, default=None):
try:
return int(v)
except (TypeError, ValueError):
return default
def as_list(v):
if isinstance(v, list):
return v
if v in (None, ""):
return []
return [x.strip() for x in str(v).split(",") if x.strip()]
try:
from pycti import OpenCTIApiClient
except ImportError as e:
fail("The 'pycti' Python library is required for the OpenCTI integration. "
"Install it on the execution host (engine): pip install pycti", detail=str(e))
def client():
base = str(S.get("base_url", "")).strip().rstrip("/")
api_key = S.get("api_key") or (S.get("credentials") or {}).get("password")
return OpenCTIApiClient(base, api_key, ssl_verify=not as_bool(S.get("insecure")), log_level="error")
TYPES_TO_OPENCTI = {
"account": "User-Account", "domain": "Domain-Name", "email": "Email-Addr",
"file-md5": "StixFile", "file-sha1": "StixFile", "file-sha256": "StixFile", "file": "StixFile",
"host": "X-OpenCTI-Hostname", "ip": "IPv4-Addr", "ipv6": "IPv6-Addr",
"registry key": "Windows-Registry-Key", "url": "Url",
}
OPENCTI_TO_TYPE = {
"User-Account": "Account", "Domain-Name": "Domain", "Email-Addr": "Email", "StixFile": "File",
"X-OpenCTI-Hostname": "Host", "IPv4-Addr": "IP", "IPv6-Addr": "IPv6",
"Windows-Registry-Key": "Registry Key", "Url": "URL",
}
def build_observable_list(observable_list):
result = []
if "ALL" in observable_list:
result = ["User-Account", "Domain-Name", "Email-Addr", "StixFile", "X-OpenCTI-Hostname",
"IPv4-Addr", "IPv6-Addr", "Windows-Registry-Key", "Url"]
else:
result = [TYPES_TO_OPENCTI.get(o.lower(), o) for o in observable_list]
return result
def get_observables(client, observable_types, score=None, limit=500, last_run_id=None, search="", get_all=False):
observable_type = build_observable_list(observable_types)
filters = {
"mode": "and",
"filters": [{"key": "entity_type", "values": observable_type, "operator": "eq", "mode": "or"}],
"filterGroups": [],
}
if score:
filters["filters"].append({"key": "x_opencti_score", "values": score, "operator": "eq", "mode": "or"})
return client.stix_cyber_observable.list(
after=last_run_id, first=limit, withPagination=True, getAll=get_all, filters=filters, search=search
)
observable_types = as_list(I.get("observable_types", "ALL")) or ["ALL"]
last_run_id = I.get("last_run_id")
limit = as_int(I.get("limit", 50), 50)
start = as_int(I.get("score_start", 0), 0)
end = as_int(I.get("score_end", 100), 100)
score = I.get("score")
search = I.get("search", "")
get_all = as_bool(I.get("all_results", "false"))
scores = None
if score:
if str(score).lower() == "unknown":
scores = [None]
elif str(score).isdigit():
scores = [score]
else:
fail("Invalid score was provided.")
elif start or end:
scores = [str(n) for n in range(start, end + 1)]
try:
raw = get_observables(
client(),
observable_types,
score=scores,
limit=limit,
last_run_id=last_run_id,
search=search,
get_all=get_all,
)
except Exception as e:
fail("Can't list observables from OpenCTI.", detail=str(e))
last_run = None if get_all else raw.get("pagination", {}).get("endCursor")
observables_list = raw if get_all else raw.get("entities", [])
normalized = []
for o in observables_list:
normalized.append({
"type": OPENCTI_TO_TYPE.get(o["entity_type"], o["entity_type"]),
"value": o.get("observable_value"),
"id": o.get("id"),
"createdBy": o.get("createdBy").get("id") if o.get("createdBy") else None,
"score": o.get("x_opencti_score"),
"description": o.get("x_opencti_description"),
"labels": [l.get("value") for l in o.get("objectLabel", [])],
"marking": [m.get("definition") for m in o.get("objectMarking", [])],
"externalReferences": o.get("externalReferences"),
})
out({"observables": normalized, "lastRunID": last_run})