Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst interface, and total cost of ownership. Use when conducting a TIP procurement, migrating between TIP solutions, or assessing whether the current TIP meets program maturity requirements. Activates for requests involving ThreatConnect, MISP, OpenCTI, Anomali, EclecticIQ, or TIP procurement decisions.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill when:
Do not use this skill for evaluating feed quality independently of the TIP — feed evaluation is a separate workflow focused on data quality rather than platform capabilities.
Structure requirements into mandatory (M) and desired (D) categories:
Core TIP Functions:
Integrations:
Operational:
MISP (Open Source):
OpenCTI (Open Source):
ThreatConnect (Commercial):
Anomali ThreatStream (Commercial):
EclecticIQ Platform (Commercial):
Request 30-day PoC from finalists. Test:
Use weighted scoring matrix (weight each criterion by organizational priority):
Criterion Weight Vendor A Vendor B
STIX 2.1 compliance 20% 95 85
SIEM integration 25% 90 70
ATT&CK mapping 15% 85 95
Cost (inverse) 20% 60 90
UI/analyst experience 10% 80 75
Vendor support quality 10% 85 80
TOTAL 100% 82.0 81.5
Plan 90-day implementation:
| Term | Definition |
|---|---|
| TIP | Threat Intelligence Platform — software for collecting, processing, analyzing, and disseminating cyber threat intelligence |
| TAXII Server | Component of a TIP that serves STIX bundles to consuming systems on request |
| TC Exchange | ThreatConnect's commercial marketplace for pre-built feed integrations and app connectors |
| Multi-tenancy | TIP capability to serve multiple organizational units or customers with isolated data environments |
| Deduplication | Process of identifying and merging duplicate indicators within a TIP to reduce analyst noise |
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概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。