feat(feed): add GCP IP ranges feed connector (allowlist / known infra)
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id: feed_gcp_ipranges
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name: GCP IP Ranges Feed
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version: 1.0.0
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description: "Google Cloud Platform IP ranges feed connector — pull the official GCP public IP range list and emit normalized IOCs (CIDR + type, with service/scope) for import into the Threat Indicator Manager. Intended as an allowlist / known-infrastructure feed (mark benign in TIM). Free, no authentication required; stdlib-only, no extra Python dependencies."
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changelog: "1.0.0 — Initial release: fetch the GCP cloud.json (IPv4 + IPv6)."
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category: feed
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# GCP publishes its public IP ranges as a free JSON file over HTTPS.
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config_schema:
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properties:
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service:
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type: string
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description: "Optional: only return prefixes for this GCP service (e.g. Google Cloud, Google APIs)"
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insecure:
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type: boolean
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description: "Trust any TLS certificate (not secure)"
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default: false
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required: []
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commands:
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- id: fetch_indicators
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name: feed-gcp-ipranges-fetch-indicators
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description: "Fetch the GCP IP ranges and return normalized indicators."
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risk: read
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inputs_schema:
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properties:
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service: { type: string, description: "Filter by GCP service (overrides config)" }
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max_indicators: { type: number, description: "Max indicators to return (0 = no limit, default 0)" }
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required: []
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outputs_schema: { properties: {} }
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- id: test_connection
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name: feed-gcp-ipranges-test-connection
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description: "Verify the GCP IP ranges feed is reachable (used by the Test button)."
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risk: read
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inputs_schema:
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properties: {}
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required: []
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outputs_schema: { properties: {} }
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import json, os, sys, ssl, urllib.request, urllib.error
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URL = "https://www.gstatic.com/ipranges/cloud.json"
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def _cfg():
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return json.loads(os.environ.get("INTEGRATION_SECRETS", "{}"))
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def _inputs():
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return json.loads(os.environ.get("INTEGRATION_INPUTS", "{}"))
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def _ctx(cfg):
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if cfg.get("insecure"):
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c = ssl.create_default_context()
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c.check_hostname = False
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c.verify_mode = ssl.CERT_NONE
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return c
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return None
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def _get(url, cfg):
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req = urllib.request.Request(
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url, headers={"User-Agent": "Riposte-SOAR", "Accept": "application/json"}
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)
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with urllib.request.urlopen(req, timeout=120, context=_ctx(cfg)) as r:
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return r.read()
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def _run(fn):
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try:
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print(json.dumps(fn(_cfg(), _inputs())))
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except urllib.error.HTTPError as e:
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print(json.dumps({"error": "HTTP " + str(e.code), "detail": e.read().decode("utf-8", "replace")}))
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sys.exit(1)
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except Exception as e:
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print(json.dumps({"error": str(e)}))
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sys.exit(1)
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def main(cfg, inputs):
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service = inputs.get("service") or cfg.get("service")
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raw = _get(URL, cfg)
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data = json.loads(raw) if raw else {}
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maxn = int(inputs.get("max_indicators") or 0)
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out = []
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for p in data.get("prefixes", []):
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if not isinstance(p, dict):
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continue
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cidr = p.get("ipv4Prefix") or p.get("ipv6Prefix")
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if not cidr:
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continue
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if service and p.get("service") != service:
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continue
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out.append({
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"value": cidr,
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"type": "cidr",
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"service": p.get("service"),
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"scope": p.get("scope"),
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"provider": "gcp",
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})
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if maxn and len(out) >= maxn:
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break
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return {"source": "gcp:cloud", "count": len(out), "indicators": out}
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_run(main)
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import json, os, sys, ssl, urllib.request, urllib.error
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URL = "https://www.gstatic.com/ipranges/cloud.json"
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def _cfg():
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return json.loads(os.environ.get("INTEGRATION_SECRETS", "{}"))
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def _inputs():
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return json.loads(os.environ.get("INTEGRATION_INPUTS", "{}"))
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def _ctx(cfg):
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if cfg.get("insecure"):
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c = ssl.create_default_context()
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c.check_hostname = False
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c.verify_mode = ssl.CERT_NONE
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return c
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return None
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def _get(url, cfg):
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req = urllib.request.Request(
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url, headers={"User-Agent": "Riposte-SOAR", "Accept": "application/json"}
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)
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with urllib.request.urlopen(req, timeout=60, context=_ctx(cfg)) as r:
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return r.read()
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def _run(fn):
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try:
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print(json.dumps(fn(_cfg(), _inputs())))
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except urllib.error.HTTPError as e:
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print(json.dumps({"error": "HTTP " + str(e.code), "detail": e.read().decode("utf-8", "replace")}))
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sys.exit(1)
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except Exception as e:
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print(json.dumps({"error": str(e)}))
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sys.exit(1)
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def main(cfg, inputs):
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raw = _get(URL, cfg)
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data = json.loads(raw) if raw else {}
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n = len(data.get("prefixes", [])) if isinstance(data, dict) else 0
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return {"ok": True, "sample_count": n, "creation_time": data.get("creationTime")}
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_run(main)
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