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Initial commit - 611 cybersecurity skills across all subdomains
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---
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name: building-threat-intelligence-feed-integration
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description: >
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Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds,
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open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time
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IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by
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automating feed ingestion, normalization, scoring, and distribution to detection systems.
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domain: cybersecurity
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subdomain: soc-operations
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tags: [soc, threat-intelligence, stix, taxii, misp, feeds, ioc, siem-integration]
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version: "1.0"
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author: mahipal
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license: MIT
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---
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# Building Threat Intelligence Feed Integration
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## When to Use
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Use this skill when:
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- SOC teams need automated ingestion of threat intelligence feeds into SIEM platforms
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- Multiple TI sources require normalization into a common format (STIX 2.1)
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- Detection systems need real-time IOC matching against network and endpoint telemetry
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- TI feed quality assessment and deduplication processes need to be established
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**Do not use** for manual IOC lookup — use dedicated enrichment tools (VirusTotal, AbuseIPDB) for ad-hoc queries.
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## Prerequisites
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- MISP instance or Threat Intelligence Platform (TIP) for feed aggregation
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- STIX/TAXII client library (`taxii2-client`, `stix2` Python packages)
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- SIEM platform (Splunk ES, Elastic Security, or Sentinel) with TI framework configured
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- API keys for commercial and open-source feeds (AlienVault OTX, Abuse.ch, CISA AIS)
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- Python 3.8+ for feed processing automation
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## Workflow
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### Step 1: Identify and Catalog Intelligence Sources
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Map available feeds by type, format, and update frequency:
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| Feed Source | Format | IOC Types | Update Freq | Cost |
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|-------------|--------|-----------|-------------|------|
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| AlienVault OTX | STIX/JSON | IP, Domain, Hash, URL | Real-time | Free |
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| Abuse.ch URLhaus | CSV/JSON | URL, Domain | Every 5 min | Free |
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| Abuse.ch MalwareBazaar | JSON API | File Hash | Real-time | Free |
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| CISA AIS | STIX/TAXII 2.1 | All types | Daily | Free (US Gov) |
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| CrowdStrike Intel | STIX/JSON | All types + Actor TTP | Real-time | Commercial |
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| Mandiant Advantage | STIX 2.1 | All types + Reports | Real-time | Commercial |
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### Step 2: Ingest STIX/TAXII Feeds
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Connect to a TAXII 2.1 server and download indicators:
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```python
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from taxii2client.v21 import Server, Collection
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from stix2 import parse
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# Connect to TAXII server (example: CISA AIS)
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server = Server(
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"https://taxii.cisa.gov/taxii2/",
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user="your_username",
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password="your_password"
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)
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# List available collections
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for api_root in server.api_roots:
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print(f"API Root: {api_root.title}")
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for collection in api_root.collections:
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print(f" Collection: {collection.title} (ID: {collection.id})")
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# Fetch indicators from a collection
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collection = Collection(
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"https://taxii.cisa.gov/taxii2/collections/COLLECTION_ID/",
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user="your_username",
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password="your_password"
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)
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# Get indicators added in last 24 hours
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from datetime import datetime, timedelta
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added_after = (datetime.utcnow() - timedelta(days=1)).strftime("%Y-%m-%dT%H:%M:%S.000Z")
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response = collection.get_objects(added_after=added_after, type=["indicator"])
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for obj in response.get("objects", []):
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indicator = parse(obj)
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print(f"Type: {indicator.type}")
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print(f"Pattern: {indicator.pattern}")
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print(f"Valid Until: {indicator.valid_until}")
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print(f"Confidence: {indicator.confidence}")
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print("---")
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```
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### Step 3: Ingest Open-Source Feeds
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**Abuse.ch URLhaus Feed:**
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```python
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import requests
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import csv
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from io import StringIO
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# Download URLhaus recent URLs
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response = requests.get("https://urlhaus.abuse.ch/downloads/csv_recent/")
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reader = csv.reader(StringIO(response.text), delimiter=',')
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indicators = []
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for row in reader:
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if row[0].startswith("#"):
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continue
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indicators.append({
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"id": row[0],
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"dateadded": row[1],
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"url": row[2],
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"url_status": row[3],
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"threat": row[5],
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"tags": row[6]
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})
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print(f"Ingested {len(indicators)} URLs from URLhaus")
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# Filter for active threats only
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active = [i for i in indicators if i["url_status"] == "online"]
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print(f"Active threats: {len(active)}")
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```
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**AlienVault OTX Pulse Feed:**
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```python
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from OTXv2 import OTXv2, IndicatorTypes
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otx = OTXv2("YOUR_OTX_API_KEY")
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# Get subscribed pulses (last 24 hours)
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pulses = otx.getall(modified_since="2024-03-14T00:00:00")
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for pulse in pulses:
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print(f"Pulse: {pulse['name']}")
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print(f"Tags: {pulse['tags']}")
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for indicator in pulse["indicators"]:
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print(f" IOC: {indicator['indicator']} ({indicator['type']})")
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```
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**Abuse.ch Feodo Tracker (C2 IPs):**
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```python
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response = requests.get("https://feodotracker.abuse.ch/downloads/ipblocklist_recommended.json")
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c2_data = response.json()
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for entry in c2_data:
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print(f"IP: {entry['ip_address']}:{entry['port']}")
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print(f"Malware: {entry['malware']}")
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print(f"First Seen: {entry['first_seen']}")
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print(f"Last Online: {entry['last_online']}")
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```
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### Step 4: Normalize and Deduplicate
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Convert all feeds to STIX 2.1 format for standardization:
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```python
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from stix2 import Indicator, Bundle
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import hashlib
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def create_stix_indicator(ioc_value, ioc_type, source, confidence=50):
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"""Convert raw IOC to STIX 2.1 indicator"""
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pattern_map = {
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"ipv4": f"[ipv4-addr:value = '{ioc_value}']",
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"domain": f"[domain-name:value = '{ioc_value}']",
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"url": f"[url:value = '{ioc_value}']",
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"sha256": f"[file:hashes.'SHA-256' = '{ioc_value}']",
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"md5": f"[file:hashes.MD5 = '{ioc_value}']",
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}
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return Indicator(
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name=f"{ioc_type}: {ioc_value}",
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pattern=pattern_map[ioc_type],
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pattern_type="stix",
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valid_from="2024-03-15T00:00:00Z",
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confidence=confidence,
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labels=[source],
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custom_properties={"x_source_feed": source}
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)
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# Deduplicate across sources
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seen_iocs = set()
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unique_indicators = []
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for ioc in all_collected_iocs:
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ioc_hash = hashlib.sha256(f"{ioc['type']}:{ioc['value']}".encode()).hexdigest()
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if ioc_hash not in seen_iocs:
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seen_iocs.add(ioc_hash)
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unique_indicators.append(
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create_stix_indicator(ioc["value"], ioc["type"], ioc["source"])
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)
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bundle = Bundle(objects=unique_indicators)
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print(f"Unique indicators: {len(unique_indicators)}")
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```
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### Step 5: Push to SIEM Threat Intelligence Framework
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**Push to Splunk ES Threat Intelligence:**
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```python
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import requests
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splunk_url = "https://splunk.company.com:8089"
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headers = {"Authorization": f"Bearer {splunk_token}"}
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for indicator in unique_indicators:
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# Extract IOC value from STIX pattern
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ioc_value = indicator.pattern.split("'")[1]
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# Upload to Splunk ES threat intel collection
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data = {
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"ip": ioc_value,
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"description": indicator.name,
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"weight": indicator.confidence // 10,
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"threat_key": indicator.id,
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"source_feed": indicator.get("x_source_feed", "unknown")
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}
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requests.post(
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f"{splunk_url}/services/data/threat_intel/item/ip_intel",
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headers=headers, data=data, verify=False
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)
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```
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**Push to MISP for centralized management:**
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```python
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from pymisp import PyMISP, MISPEvent, MISPAttribute
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misp = PyMISP("https://misp.company.com", "YOUR_MISP_API_KEY")
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# Create event for feed batch
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event = MISPEvent()
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event.info = f"TI Feed Import - {datetime.now().strftime('%Y-%m-%d')}"
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event.threat_level_id = 2 # Medium
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event.analysis = 2 # Completed
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# Add indicators as attributes
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for ioc in unique_indicators:
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attr = MISPAttribute()
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attr.type = "ip-dst" if "ipv4" in ioc.pattern else "domain"
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attr.value = ioc.pattern.split("'")[1]
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attr.to_ids = True
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attr.comment = f"Source: {ioc.get('x_source_feed', 'mixed')}"
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event.add_attribute(**attr)
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result = misp.add_event(event)
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print(f"MISP Event created: {result['Event']['id']}")
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```
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### Step 6: Monitor Feed Health and Quality
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Track feed effectiveness metrics:
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```spl
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index=threat_intel sourcetype="threat_intel_manager"
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| stats count AS total_iocs,
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dc(threat_key) AS unique_iocs,
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dc(source_feed) AS feed_count
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by source_feed
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| join source_feed [
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search index=notable source="Threat Intelligence"
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| stats count AS matches by source_feed
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]
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| eval match_rate = round(matches / unique_iocs * 100, 2)
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| sort - match_rate
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| table source_feed, unique_iocs, matches, match_rate
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```
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## Key Concepts
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| Term | Definition |
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|------|-----------|
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| **STIX 2.1** | Structured Threat Information Expression — standardized JSON format for sharing threat intelligence objects |
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| **TAXII** | Trusted Automated eXchange of Indicator Information — transport protocol for sharing STIX data via REST API |
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| **TIP** | Threat Intelligence Platform — centralized system for aggregating, scoring, and distributing threat intelligence |
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| **IOC Scoring** | Process of assigning confidence values to indicators based on source reliability and corroboration |
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| **Feed Deduplication** | Removing duplicate IOCs across multiple sources while preserving multi-source attribution |
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| **IOC Expiration** | Time-to-live policy removing aged indicators (IP: 30 days, Domain: 90 days, Hash: 1 year) |
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## Tools & Systems
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- **MISP**: Open-source threat intelligence platform for feed aggregation, correlation, and sharing
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- **AlienVault OTX**: Free threat intelligence sharing platform with community pulse feeds
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- **Abuse.ch**: Suite of free threat feeds (URLhaus, MalwareBazaar, Feodo Tracker, ThreatFox)
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- **OpenCTI**: Open-source cyber threat intelligence platform supporting STIX 2.1 native storage
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- **TAXII2 Client**: Python library for connecting to STIX/TAXII 2.1 servers for automated indicator retrieval
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## Common Scenarios
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- **New Feed Onboarding**: Evaluate feed quality, map fields to STIX, configure automated ingestion pipeline
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- **Multi-SIEM Distribution**: Push normalized IOCs from MISP to Splunk, Elastic, and Sentinel simultaneously
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- **False Positive Reduction**: Score IOCs by source count and age, expire stale indicators automatically
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- **Feed Quality Audit**: Compare detection match rates across feeds to identify highest-value sources
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- **Incident IOC Sharing**: Package investigation IOCs as STIX bundle and share with ISACs via TAXII
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## Output Format
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```
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THREAT INTEL FEED STATUS — Daily Report
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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Date: 2024-03-15
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Total IOCs: 45,892 active indicators
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Feed Health:
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Feed IOCs Matches Match Rate Status
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Abuse.ch URLhaus 12,340 47 0.38% HEALTHY
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AlienVault OTX 18,567 23 0.12% HEALTHY
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Abuse.ch Feodo 1,203 12 1.00% HEALTHY
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CISA AIS 8,945 8 0.09% HEALTHY
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CrowdStrike Intel 4,837 31 0.64% HEALTHY
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Actions Today:
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New IOCs ingested: 1,247
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IOCs expired: 892
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Duplicates removed: 156
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SIEM matches: 121 notable events generated
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False positives: 3 (CDN IPs removed from feed)
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```
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