Skip to main content
implementing-taxii-server-with-opentaxii Deploy and configure a TAXII 2.1 server (Medallion) with Docker, publish and consume STIX 2.1 bundles across collections, and integrate the feed with SIEM/SOAR platforms for automated indicator exchange between organizations. Use when standing up a TAXII server to share threat intel, configuring collections for CTI feeds, or automating STIX indicator ingestion into a SIEM/SOAR.
Ir a la instalación Skills Marketplace Descubre y explora habilidades de IA creadas por la comunidad.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Mostrar detalles del prompt Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills --skill implementing-taxii-server-with-opentaxiiEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.
Descargar Zip Descargando... Más de este repositorio abusing-dpapi-for-credential-access Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.
abusing-shadow-credentials-for-privesc Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.
acquiring-disk-image-with-dd-and-dcfldd Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
Explorador de archivos
4 archivos Ocupaciones relacionadas SOC
Basado en la clasificación ocupacional SOC
name implementing-taxii-server-with-opentaxii description Deploy and configure a TAXII 2.1 server (Medallion) with Docker, publish and consume STIX 2.1 bundles across collections, and integrate the feed with SIEM/SOAR platforms for automated indicator exchange between organizations. Use when standing up a TAXII server to share threat intel, configuring collections for CTI feeds, or automating STIX indicator ingestion into a SIEM/SOAR. domain cybersecurity subdomain threat-intelligence tags ["taxii","stix","opentaxii","threat-sharing","cti","indicator-exchange","taxii-server","automation"] version 1.0 author mahipal license Apache-2.0 nist_csf ["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"] mitre_attack ["T1591","T1592","T1593","T1589"]
Implementing TAXII Server with OpenTAXII
Overview
TAXII (Trusted Automated eXchange of Intelligence Information) is an OASIS standard protocol for exchanging cyber threat intelligence over HTTPS. OpenTAXII is an open-source TAXII server implementation by EclecticIQ that supports TAXII 1.x, while the OASIS cti-taxii-server provides a TAXII 2.1 reference implementation. This skill covers deploying a TAXII server, configuring collections for threat intelligence feeds, publishing STIX 2.1 bundles, and integrating with SIEM/SOAR platforms for automated indicator ingestion.
When to Use
When deploying or configuring implementing taxii server with opentaxii 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 medallion, stix2, taxii2-client, opentaxii, cabby libraries
Docker and Docker Compose for containerized deployment
Understanding of STIX 2.1 objects (Indicator, Malware, Attack Pattern, Relationship)
Familiarity with REST APIs and HTTPS configuration
TLS certificates for production deployment
Key Concepts
TAXII 2.1 Architecture
TAXII 2.1 defines three services: Discovery (find available API roots), API Root (entry point for collections), and Collections (repositories of CTI objects). Collections support two access models: the Collection endpoint allows consumers to poll for objects, and the Status endpoint tracks the result of add operations. TAXII uses HTTP content negotiation with application/taxii+json;version=2.1.
Sharing Models
TAXII supports hub-and-spoke (central server distributes to consumers), peer-to-peer (bidirectional sharing between partners), and source-subscriber (producer publishes, consumers subscribe) models. Each collection can have read-only, write-only, or read-write access controls.
STIX 2.1 Content
TAXII transports STIX 2.1 bundles containing Structured Threat Information objects: Indicators (detection patterns), Observed Data, Malware, Attack Patterns, Threat Actors, Intrusion Sets, Campaigns, Relationships, and Sightings. Each object has a unique STIX ID, creation/modification timestamps, and optional TLP marking definitions.
Workflow
Step 1: Deploy TAXII 2.1 Server with Medallion
import
"backend"
"module_class"
"MemoryBackend"
"filename"
"taxii_data.json"
"users"
"admin"
"admin_password_change_me"
"analyst"
"analyst_password_change_me"
"readonly"
"readonly_password_change_me"
"taxii"
"max_content_length"
10485760
"discovery"
"title"
"Threat Intelligence TAXII Server"
"description"
"TAXII 2.1 server for sharing CTI indicators"
"contact"
"soc@organization.com"
"default"
"https://taxii.organization.com/api/"
"api_roots"
"https://taxii.organization.com/api/"
"api_roots"
"api"
"title"
"Threat Intelligence API Root"
"description"
"Primary API root for threat intelligence sharing"
"versions"
"application/taxii+json;version=2.1"
"max_content_length"
10485760
"collections"
"malware-iocs"
"id"
"91a7b528-80eb-42ed-a74d-c6fbd5a26116"
"title"
"Malware IOCs"
"description"
"Indicators of compromise from malware analysis"
"can_read"
True
"can_write"
True
"media_types"
"application/stix+json;version=2.1"
"apt-intelligence"
"id"
"52892447-4d7e-4f70-b94a-5460e242dd23"
"title"
"APT Intelligence"
"description"
"Advanced persistent threat group intelligence"
"can_read"
True
"can_write"
True
"media_types"
"application/stix+json;version=2.1"
"phishing-indicators"
"id"
"64993447-4d7e-4f70-b94a-5460e242ee34"
"title"
"Phishing Indicators"
"description"
"Phishing URLs, domains, and email indicators"
"can_read"
True
"can_write"
True
"media_types"
"application/stix+json;version=2.1"
with
open
"medallion_config.json"
"w"
as
2
with
open
"taxii_data.json"
"w"
as
2
print
"[+] TAXII server configuration created"
Step 2: Docker Deployment
version: '3.8'
services:
taxii-server:
image: python:3.11-slim
container_name: taxii-server
working_dir: /app
volumes:
- ./medallion_config.json:/app/medallion_config.json
- ./taxii_data.json:/app/taxii_data.json
- ./certs:/app/certs
ports:
- "6100:6100"
command: >
bash -c "pip install medallion &&
medallion --host 0.0.0.0 --port 6100
--config /app/medallion_config.json"
restart: unless-stopped
healthcheck:
test: ["CMD" , "curl" , "-f" , "http://localhost:6100/taxii2/" ]
interval: 30s
timeout: 10s
retries: 3
Step 3: Publish STIX 2.1 Objects to Collections from stix2 import Indicator, Malware, Relationship, Bundle, TLP_WHITE
from taxii2client.v21 import Server, Collection, as_pages
import json
from datetime import datetime
class TAXIIPublisher :
def __init__ (self, server_url, username, password ):
self .server = Server(
server_url,
user=username,
password=password,
)
def list_collections (self ):
"""List all available collections."""
api_root = self .server.api_roots[0 ]
for collection in api_root.collections:
print (f" [{collection.id } ] {collection.title} "
f"(read={collection.can_read} , write={collection.can_write} )" )
return api_root.collections
def publish_indicators (self, collection_id, indicators ):
"""Publish STIX indicators to a TAXII collection."""
api_root = self .server.api_roots[0 ]
collection = Collection(
f"{api_root.url} collections/{collection_id} /" ,
user=self .server._user,
password=self .server._password,
)
bundle = Bundle(objects=indicators)
response = collection.add_objects(bundle.serialize())
print (f"[+] Published {len (indicators)} objects to {collection_id} " )
print (f" Status: {response.status} " )
return response
def create_malware_indicators (self ):
"""Create sample STIX malware indicators."""
malware = Malware(
name="SUNBURST" ,
description="Backdoor used in SolarWinds supply chain attack (2020). "
"Trojanized SolarWinds.Orion.Core.BusinessLayer.dll module." ,
malware_types=["backdoor" , "trojan" ],
is_family=True ,
object_marking_refs=[TLP_WHITE],
)
indicator_hash = Indicator(
name="SUNBURST SHA-256 Hash" ,
description="SHA-256 hash of trojanized SolarWinds Orion DLL" ,
pattern="[file:hashes.'SHA-256' = "
"'32519b85c0b422e4656de6e6c41878e95fd95026267daab4215ee59c107d6c77']" ,
pattern_type="stix" ,
valid_from=datetime(2020 , 12 , 13 ),
indicator_types=["malicious-activity" ],
object_marking_refs=[TLP_WHITE],
)
indicator_domain = Indicator(
name="SUNBURST C2 Domain Pattern" ,
description="DGA domain pattern used by SUNBURST for C2" ,
pattern="[domain-name:value MATCHES "
"'^[a-z0-9]{4,}\\.appsync-api\\..*\\.avsvmcloud\\.com$']" ,
pattern_type="stix" ,
valid_from=datetime(2020 , 12 , 13 ),
indicator_types=["malicious-activity" ],
object_marking_refs=[TLP_WHITE],
)
rel = Relationship(
relationship_type="indicates" ,
source_ref=indicator_hash.id ,
target_ref=malware.id ,
)
return [malware, indicator_hash, indicator_domain, rel]
publisher = TAXIIPublisher(
"https://taxii.organization.com/taxii2/" ,
"admin" , "admin_password_change_me"
)
collections = publisher.list_collections()
indicators = publisher.create_malware_indicators()
publisher.publish_indicators("91a7b528-80eb-42ed-a74d-c6fbd5a26116" , indicators)
Step 4: Consume Intelligence from TAXII Collections from taxii2client.v21 import Server, Collection, as_pages
import json
class TAXIIConsumer :
def __init__ (self, server_url, username, password ):
self .server = Server(server_url, user=username, password=password)
def poll_collection (self, collection_id, added_after=None ):
"""Poll a collection for new STIX objects."""
api_root = self .server.api_roots[0 ]
collection = Collection(
f"{api_root.url} collections/{collection_id} /" ,
user=self .server._user,
password=self .server._password,
)
kwargs = {}
if added_after:
kwargs["added_after" ] = added_after
all_objects = []
for bundle in as_pages(collection.get_objects, per_request=50 , **kwargs):
objects = json.loads(bundle).get("objects" , [])
all_objects.extend(objects)
indicators = [o for o in all_objects if o.get("type" ) == "indicator" ]
malware = [o for o in all_objects if o.get("type" ) == "malware" ]
relationships = [o for o in all_objects if o.get("type" ) == "relationship" ]
print (f"[+] Polled {len (all_objects)} objects: "
f"{len (indicators)} indicators, {len (malware)} malware, "
f"{len (relationships)} relationships" )
return all_objects
def extract_iocs_for_siem (self, stix_objects ):
"""Extract IOCs from STIX objects for SIEM ingestion."""
iocs = []
for obj in stix_objects:
if obj.get("type" ) == "indicator" :
pattern = obj.get("pattern" , "" )
iocs.append({
"id" : obj.get("id" ),
"name" : obj.get("name" , "" ),
"pattern" : pattern,
"valid_from" : obj.get("valid_from" , "" ),
"indicator_types" : obj.get("indicator_types" , []),
"confidence" : obj.get("confidence" , 0 ),
})
return iocs
consumer = TAXIIConsumer(
"https://taxii.organization.com/taxii2/" ,
"analyst" , "analyst_password_change_me"
)
objects = consumer.poll_collection("91a7b528-80eb-42ed-a74d-c6fbd5a26116" )
iocs = consumer.extract_iocs_for_siem(objects)
Step 5: Integrate with SIEM/SOAR import requests
def push_to_splunk (iocs, splunk_url, hec_token ):
"""Push extracted IOCs to Splunk via HEC."""
headers = {"Authorization" : f"Splunk {hec_token} " }
for ioc in iocs:
event = {
"event" : ioc,
"sourcetype" : "stix:indicator" ,
"source" : "taxii-server" ,
"index" : "threat_intel" ,
}
resp = requests.post(
f"{splunk_url} /services/collector/event" ,
headers=headers,
json=event,
verify=not os.environ.get("SKIP_TLS_VERIFY" , "" ).lower() == "true" ,
)
if resp.status_code != 200 :
print (f"[-] Splunk HEC error: {resp.text} " )
print (f"[+] Pushed {len (iocs)} IOCs to Splunk" )
def push_to_elasticsearch (iocs, es_url, index="threat-intel" ):
"""Push IOCs to Elasticsearch."""
for ioc in iocs:
resp = requests.post(
f"{es_url} /{index} /_doc" ,
json=ioc,
headers={"Content-Type" : "application/json" },
)
if resp.status_code not in (200 , 201 ):
print (f"[-] ES error: {resp.text} " )
print (f"[+] Indexed {len (iocs)} IOCs in Elasticsearch" )
Validation Criteria
TAXII 2.1 server deployed and accessible via HTTPS
Collections created with appropriate read/write permissions
STIX 2.1 bundles published successfully to collections
Consumer can poll and retrieve objects with filtering
IOCs extracted and forwarded to SIEM platform
Authentication and authorization enforced correctly
References 