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STIX/TAXII Feed Integration

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Integrate STIX/TAXII threat intelligence feeds seamlessly.

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What STIX/TAXII Feed Integration does

The STIX/TAXII Feed Integration skill provides a comprehensive framework for implementing STIX 2.1 and TAXII 2.1 protocols using Python. This skill is designed for cybersecurity professionals looking to integrate threat intelligence feeds into their Security Information and Event Management (SIEM) systems or Threat Intelligence Platforms (TIP). By leveraging the capabilities of the taxii2-client and stix2 libraries, users can efficiently manage and parse cyber threat intelligence data.

This skill allows developers to perform essential tasks such as TAXII server discovery, collection management, and polling for new intelligence. It includes detailed workflows that guide users through connecting to TAXII servers, fetching STIX objects, and parsing them for further analysis. The integration of a local TAXII server with Medallion is also supported, enabling users to simulate a TAXII environment for testing and development purposes.

Whether you are building a new security architecture, enhancing existing systems, or conducting security assessments, this skill provides the necessary tools to effectively manage threat intelligence data. Users are expected to have a foundational understanding of STIX and TAXII protocols, as well as the Python programming language, to fully leverage the capabilities of this skill.

When to use it

Use this skill when you need to implement or enhance STIX/TAXII integration in your cybersecurity infrastructure, particularly for SIEM or TIP solutions.

When not to use it

This skill may not be suitable for users without a background in Python programming or those unfamiliar with STIX/TAXII protocols, as it requires a certain level of technical expertise.

What you can build with it

Integrating Threat Feeds into SIEM

Use this skill to connect and integrate STIX/TAXII threat intelligence feeds into your existing SIEM solution for enhanced visibility.

Building a TAXII Client

Develop a custom TAXII client to poll for new indicators and manage threat intelligence data efficiently.

Setting Up a Local TAXII Server

Utilize the skill to establish a local TAXII server environment for testing and developing threat intelligence applications.

How to install STIX/TAXII Feed Integration

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1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/implementing-stix-taxii-feed-integration --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mukul975

Implementing STIX/TAXII Feed Integration

Overview

STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence. This skill covers implementing a STIX/TAXII 2.1 feed consumer and producer using Python, configuring TAXII server discovery, collection management, polling for new intelligence, parsing STIX 2.1 objects, and integrating feeds into SIEM and TIP platforms.

When to Use

  • When deploying or configuring implementing stix taxii feed integration capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Python 3.9+ with taxii2-client, stix2, cti-taxii-client libraries
  • Understanding of STIX 2.1 data model (SDOs, SCOs, SROs)
  • Understanding of TAXII 2.1 protocol (discovery, API roots, collections)
  • Network access to TAXII servers (MITRE ATT&CK TAXII, Anomali STAXX)
  • Optional: medallion for running a local TAXII 2.1 server

Key Concepts

TAXII 2.1 Architecture

TAXII defines a RESTful API with three service types:

  • Discovery: Returns information about available API roots
  • API Root: Contains collections and serves as the main interaction point
  • Collection: A logical grouping of STIX objects accessible via GET/POST

STIX 2.1 Object Model

STIX objects are categorized as:

  • SDOs (STIX Domain Objects): Indicator, Malware, Threat Actor, Campaign, Attack Pattern, Tool, Infrastructure, Vulnerability, Identity, Location, Note, Opinion, Report, Grouping
  • SCOs (STIX Cyber Observables): IPv4-Addr, Domain-Name, URL, File, Email-Addr, Process, Network-Traffic, Artifact
  • SROs (STIX Relationship Objects): Relationship, Sighting
  • Meta Objects: Marking Definition (TLP), Language Content, Extension Definition

STIX Bundle

A Bundle is a collection of STIX objects transmitted together. Bundles have a unique ID and contain an array of objects. TAXII collections serve bundles in response to GET requests.

Workflow

Step 1: TAXII Server Discovery

from taxii2client.v21 import Server, Collection, as_pages

# Connect to MITRE ATT&CK TAXII server
server = Server("https://cti-taxii.mitre.org/taxii2/", user="", password="")

print(f"Title: {server.title}")
print(f"Description: {server.description}")

# List API roots
for api_root in server.api_roots:
    print(f"\nAPI Root: {api_root.title}")
    print(f"  URL: {api_root.url}")

    # List collections
    for collection in api_root.collections:
        print(f"  Collection: {collection.title} (ID: {collection.id})")
        print(f"    Can Read: {collection.can_read}")
        print(f"    Can Write: {collection.can_write}")

Step 2: Fetch STIX Objects from Collection

from taxii2client.v21 import Collection, as_pages
import json

# Connect to Enterprise ATT&CK collection
ENTERPRISE_ATTACK_ID = "95ecc380-afe9-11e4-9b6c-751b66dd541e"
collection = Collection(
    f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/",
    user="",
    password="",
)

print(f"Collection: {collection.title}")

# Fetch all objects (paginated)
all_objects = []
for envelope in as_pages(collection.get_objects, per_request=50):
    objects = envelope.get("objects", [])
    all_objects.extend(objects)
    print(f"  Fetched {len(objects)} objects (total: {len(all_objects)})")

print(f"\nTotal objects retrieved: {len(all_objects)}")

# Categorize by type
type_counts = {}
for obj in all_objects:
    obj_type = obj.get("type", "unknown")
    type_counts[obj_type] = type_counts.get(obj_type, 0) + 1

for obj_type, count in sorted(type_counts.items()):
    print(f"  {obj_type}: {count}")

Step 3: Parse STIX 2.1 Objects with stix2 Library

from stix2 import parse, Filter, MemoryStore

# Load objects into a MemoryStore for querying
store = MemoryStore(stix_data=all_objects)

# Query for all indicators
indicators = store.query([Filter("type", "=", "indicator")])
print(f"Indicators: {len(indicators)}")

for ind in indicators[:5]:
    print(f"  {ind.name}: {ind.pattern}")

# Query for malware
malware_list = store.query([Filter("type", "=", "malware")])
print(f"\nMalware families: {len(malware_list)}")

# Query for threat actors
actors = store.query([Filter("type", "=", "intrusion-set")])
print(f"Threat actors: {len(actors)}")

# Find relationships for a specific object
def get_related(store, source_id):
    relationships = store.query([
        Filter("type", "=", "relationship"),
        Filter("source_ref", "=", source_id),
    ])
    return relationships

# Example: Get all techniques used by APT28
apt28 = store.query([
    Filter("type", "=", "intrusion-set"),
    Filter("name", "=", "APT28"),
])
if apt28:
    rels = get_related(store, apt28[0].id)
    for rel in rels:
        target = store.get(rel.target_ref)
        if target:
            print(f"  {rel.relationship_type} -> {target.name} ({target.type})")

Step 4: Implement Custom TAXII Consumer

from taxii2client.v21 import Collection, as_pages
from stix2 import parse, Bundle
from datetime import datetime, timedelta
import json

class TAXIIConsumer:
    """Consume STIX/TAXII 2.1 feeds and extract IOCs."""

    def __init__(self, collection_url, user="", password=""):
        self.collection = Collection(collection_url, user=user, password=password)
        self.last_poll = None

    def poll_new_objects(self, added_after=None):
        """Poll for objects added after a specific timestamp."""
        if added_after is None:
            added_after = (
                self.last_poll or
                (datetime.utcnow() - timedelta(days=1)).strftime(
                    "%Y-%m-%dT%H:%M:%S.000Z"
                )
            )

        all_objects = []
        kwargs = {"added_after": added_after}

        for envelope in as_pages(
            self.collection.get_objects, per_request=100, **kwargs
        ):
            objects = envelope.get("objects", [])
            all_objects.extend(objects)

        self.last_poll = datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S.000Z")
        return all_objects

    def extract_indicators(self, objects):
        """Extract actionable indicators from STIX objects."""
        indicators = []
        for obj in objects:
            if obj.get("type") == "indicator":
                indicators.append({
                    "id": obj.get("id"),
                    "name": obj.get("name", ""),
                    "pattern": obj.get("pattern", ""),
                    "pattern_type": obj.get("pattern_type", ""),
                    "valid_from": obj.get("valid_from", ""),
                    "valid_until": obj.get("valid_until", ""),
                    "indicator_types": obj.get("indicator_types", []),
                    "confidence": obj.get("confidence", 0),
                    "labels": obj.get("labels", []),
                })
        return indicators

    def extract_observables(self, objects):
        """Extract STIX Cyber Observables."""
        observables = []
        observable_types = {
            "ipv4-addr", "ipv6-addr", "domain-name", "url",
            "file", "email-addr", "network-traffic",
        }
        for obj in objects:
            if obj.get("type") in observable_types:
                observables.append({
                    "type": obj["type"],
                    "value": obj.get("value", ""),
                    "id": obj.get("id"),
                })
        return observables


# Usage
consumer = TAXIIConsumer(
    f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/"
)
new_objects = consumer.poll_new_objects()
indicators = consumer.extract_indicators(new_objects)
print(f"New indicators: {len(indicators)}")

Step 5: Set Up Local TAXII Server with Medallion

# medallion configuration (medallion.conf)
TAXII_CONFIG = {
    "backend": {
        "module_class": "MemoryBackend",
    },
    "users": {
        "admin": "admin_password",
        "readonly": "readonly_password",
    },
    "taxii": {
        "max_content_length": 10485760,
    },
}

# Run medallion server:
# pip install medallion
# python -m medallion --config medallion.conf --port 5000

# Add objects to local TAXII server
import requests

def push_to_taxii(server_url, collection_id, stix_bundle, user, password):
    """Push STIX bundle to a TAXII 2.1 collection."""
    url = f"{server_url}/collections/{collection_id}/objects/"
    headers = {
        "Content-Type": "application/stix+json;version=2.1",
        "Accept": "application/taxii+json;version=2.1",
    }
    response = requests.post(
        url,
        json=stix_bundle,
        headers=headers,
        auth=(user, password),
        timeout=30,
    )
    return response.json()

Validation Criteria

  • TAXII server discovery returns valid API roots and collections
  • STIX objects fetched and parsed correctly from TAXII collections
  • Indicators extracted with valid STIX patterns
  • Pagination handled correctly for large collections
  • Consumer tracks polling state for incremental updates
  • Local TAXII server accepts and serves STIX bundles

References

Frequently asked questions about STIX/TAXII Feed Integration

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