Structured Threat Information Expression (STIX™) is a standardized language designed to describe cyber threat information, enabling its consistent sharing, storage, and analysis. Microsoft’s decision to include STIX Objects within Sentinel (https://lnkd.in/gVGFFgpV) is something anyone at an MS shop must be aware of. The announcement mentions four scenarios of how this can be leveraged:
1) Ingesting Objects: You can now acquire these objects from multiple commercial feeds using several methods, including STIX TAXII servers, APIs, files, or manual input.
2) Curating Threat Intelligence: Curate and oversee all supported Threat Intelligence objects.
3) Building Relationships: Form connections between objects to improve threat detection and response.
4) Hunt and Investigate Threats: Match curated TI data to your logs within the unified SOC platform powered by Microsoft Sentinel.
Practice-Verified Commands and Codes
1. Ingesting STIX Data via TAXII Server
Use the following Python script to ingest STIX data from a TAXII server:
from cabby import create_client
client = create_client('taxii.server.com')
client.set_auth(username='your_username', password='your_password')
collections = client.get_collections()
for collection in collections:
print(collection.name)
2. Curating Threat Intelligence in Microsoft Sentinel
Use Azure CLI to manage threat intelligence in Sentinel:
az sentinel threat-indicator create --resource-group MyResourceGroup --workspace-name MyWorkspace --name MyThreatIndicator --pattern "[ipv4-addr:value = '192.168.1.1']"
3. Building Relationships Between STIX Objects
Use the following STIX 2.0 Python library to create relationships:
from stix2 import Indicator, Relationship indicator = Indicator(name="Malicious IP", pattern="[ipv4-addr:value = '192.168.1.1']") malware = Malware(name="Ransomware", is_family=False) relationship = Relationship(indicator, 'indicates', malware) print(relationship.serialize(pretty=True))
4. Hunting Threats with Microsoft Sentinel
Use KQL (Kusto Query Language) to hunt for threats:
ThreatIntelligenceIndicator | where NetworkIP == "192.168.1.1" | project IndicatorName, ThreatType, ConfidenceScore
What Undercode Say
The integration of STIX™ with Microsoft Sentinel marks a significant advancement in the field of cybersecurity, particularly for organizations leveraging Microsoft’s ecosystem. STIX™ provides a standardized framework for sharing and analyzing threat intelligence, which is critical in today’s rapidly evolving threat landscape. By incorporating STIX Objects into Sentinel, Microsoft has enabled seamless ingestion, curation, and analysis of threat data, enhancing the overall security posture of enterprises.
From a technical perspective, the ability to ingest STIX data via TAXII servers or APIs allows for real-time threat intelligence updates. This can be further automated using Python scripts or Azure CLI commands, ensuring that your SOC is always equipped with the latest threat data. Additionally, the ability to build relationships between STIX objects enhances contextual understanding, enabling more accurate threat detection and response.
For threat hunting, KQL queries within Sentinel provide a powerful tool to correlate threat intelligence with log data, uncovering hidden threats that might otherwise go unnoticed. This integration not only streamlines the workflow for security analysts but also reduces the time to detect and respond to threats.
In conclusion, the combination of STIX™ and Microsoft Sentinel is a game-changer for cybersecurity professionals. By leveraging the provided commands and scripts, organizations can maximize the potential of this integration, ensuring a robust and proactive defense against cyber threats. For further reading, refer to the official Microsoft documentation on Sentinel (https://docs.microsoft.com/en-us/azure/sentinel/) and the STIX™ project website (https://oasis-open.github.io/cti-documentation/).
References:
Hackers Feeds, Undercode AI
