AGENT SKILL

implementing-stix-taxii-feed-integration

STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.

License 许可
Apache-2.0
最近更新
2026-06-10
Stars
★ 0
Forks
0

01 前言 Front Matter

name
implementing-stix-taxii-feed-integration
tags
[ "threat-intelligence", "cti", "ioc", "mitre-attack", "stix", "taxii", "feed-integration", "oasis" ]
author
mahipal
domain
cybersecurity
license
Apache-2.0
version
1.0
nist_csf
[ "ID.RA-01", "ID.RA-05", "DE.CM-01", "DE.AE-02" ]
subdomain
threat-intelligence
description
STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.
mitre_attack
[ "T1591", "T1592", "T1593", "T1589" ]

02 资源文件 7

03 SKILL.md 正文

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

04 同仓库更多 Skills

henriquescastilho
henriquescastilho/my-claude

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

行政与办公人员文档处理演示文稿
★ 0
henriquescastilho
henriquescastilho/my-claude

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

行政与办公人员文档处理演示文稿
★ 0
henriquescastilho
henriquescastilho/my-claude

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

行政与办公人员文档处理演示文稿
★ 0
henriquescastilho
henriquescastilho/my-claude

zarr-python

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

★ 0
henriquescastilho
henriquescastilho/my-claude

what-if-oracle

Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.

Skill与智能体开发
★ 0
henriquescastilho
henriquescastilho/my-claude

venue-templates

Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.

内容创作者写作与文案资料检索与研究
★ 0