「indicator」の検索結果

Use when the user asks "which SAT should I use for X?", wants the index of Structured Analytic Techniques, or is choosing between quality-of-information-check, ACH, key-assumptions-check, devils-advocacy, indicators of change, etc. Quality of Information Check is the default first step of any diagnostic run.

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AlienVault OTX API reference. Community threat intelligence pulses and indicator lookups.

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ReversingLabs Spectra Analyze (A1000) API reference. File hash classification, detailed reports, dynamic analysis, network indicator reputation, advanced search, YARA, container relationships.

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Use as the default entry point for any CTI request that doesn't name a specific skill. Activates when a user asks to investigate an indicator, profile a threat actor, write an assessment, enrich IOCs, or build detection rules, and when a user asks where a report or article comes from, how reliable it is, to grade a source, check a report, or split a report into claims, or pastes a bare article URL. Routes to the right investigation, provenance, grading or analysis skill, then auto-applies rigor skills (source rating, TLP, confidence, likelihood) on the output.

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Workflow for enriching raw IOCs. Routes each IOC type to the appropriate /lookup-* skills, optionally correlates against MISP, and synthesises a single enrichment record per indicator. Use when the user has a batch of raw IOCs to process before triage or before pushing into a sharing platform.

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Use when you need CrowdStrike Falcon Intelligence on an indicator (IOC reputation for an IP, domain, hash, or URL — malicious confidence, linked actors, malware families, reports) OR on an adversary (threat-actor profile, origin/target search, MITRE ATT&CK TTPs, finished intel reports). Answers questions like "look up 1.1.1.1", "what TTPs does Charming Kitten use?", "which threat actors operate from Russia?", and "latest report on Mustang Panda". Commonly invoked by the four /*-investigation skills, /ioc-enrichment-workflow, /threat-actor-profiling, and the regional espionage cells. Other agents/skills can chain this for vendor-authoritative actor and finished-intel context. Requires a Falcon Intelligence subscription.

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Use when you need to query a MISP instance for existing events/attributes/objects, or push new intel into MISP — adding attributes to an event, creating an event, or uploading a STIX 2 bundle as one or more events. Two-way integration. Commonly invoked by /ip-investigation and friends to check whether an indicator is already known to your CTI sharing community, and by analytical skills that want to publish their findings back to MISP. Reads $MISP_URL and $MISP_API_KEY.

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Use when you need to check an IP, domain, file hash, or URL against AlienVault OTX community pulses. Returns pulse count, key pulses, tags, related indicators, and passive DNS. Commonly invoked by investigation skills to pull community context. Retrieval only — does not interpret.

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Use when characterising a malware sample, the user asks "what does this binary do?" / "analyse this hash deeply", or `/hash-investigation` flags a novel sample warranting deeper review. Static + dynamic methodology, behavioural indicators, sandbox interpretation.

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CrowdStrike Falcon Intelligence (Intel API) reference. OAuth2 auth, Falcon Query Language, indicator (IOC) lookups, threat-actor entities, intel reports, MITRE ATT&CK mappings, malware families, vulnerabilities, rule sets.

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Develops comprehensive threat actor profiles for APT groups, criminal organizations, and hacktivist collectives by aggregating TTP documentation, historical campaign data, tooling fingerprints, and attribution indicators from multiple intelligence sources. Use when briefing executives on sector-specific threats, updating threat model assumptions, or prioritizing defensive controls against specific adversaries. Activates for requests involving MITRE ATT&CK Groups, Mandiant APT profiles, CrowdStrike adversary naming, or sector-specific threat briefings.

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"Apply Partial Least Squares SEM (PLS-SEM) with reflective and formative measurement models to maximize explained variance in endogenous constructs. Use this skill when the user has small samples, formative indicators, or exploratory models, needs to assess AVE/CR/HTMT, or when they ask 'should I use PLS or CB-SEM', 'how do I handle formative constructs', or 'what is the path coefficient significance'.".

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"Enterprise risk management (ERM) framework layer — integrates COSO ERM 2017 (five components, 20 principles), ISO 31000, three-lines model, risk appetite, risk heatmap, and key risk indicators (KRI) into a complete governance playbook covering structure through culture. Use for ERM implementation, risk-system build, risk mapping, risk-appetite statement drafting, three-lines setup, CRO role design, or Taiwan FSC corporate-governance evaluation response. Triggers: 『ERM 導入』『風險管理框架』『COSO』『風險地圖』『風險胃納』『KRI』『CRO 職責』『三道防線』『風險委員會』『ISO 31000』『風險熱圖』『風險治理』. For 師大／政大／陽交 EMBA risk-management/governance/audit cases. Complements Asgard `algo-risk-*` (Altman Z, Benford, credit, VaR) with the framework/governance layer. 獨董挑選/董事會組成/IPO 治理: use `biz-corporate-governance`.".

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"Apply Benford's Law to detect anomalies in numerical datasets by analyzing first-digit frequency distributions. Use this skill when the user needs to audit financial data for fraud indicators, validate data integrity, or detect fabricated numbers — even if they say 'data manipulation detection', 'first digit test', or 'accounting fraud screening'.".

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Build structured behavioral interview guides using the STAR method. Map job competencies to interview questions, provide scoring rubrics (1–5), and include follow-up probes and red/green flag indicators. Use when preparing for hiring interviews or standardizing interview practices.

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Design KPI dashboards with SMART metrics, visualization selection, alert thresholds, and refresh cadence. Covers leading vs lagging indicators, data dictionary, and stakeholder-specific views. Use when building operational dashboards, executive scorecards, or team performance views.

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Build customer health scores and churn risk models using leading indicators. Define health dimensions (Usage, Engagement, Support, Sentiment, Contract), weight and score customers, segment into Healthy / At-Risk / Red, and generate intervention playbooks. Use during QBR prep, customer success reviews, or when churn spikes.

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Perform forensic analysis of the macOS Unified Logging System (ULS) to investigate system events, application crashes, kernel panics, and potential indicators of compromise (IoCs) such as persistence mechanisms or unauthorized access.

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Tracks adversary C2 and staging infrastructure by clustering indicators on shared attributes (TLS/JARM, certificate fields, favicon hashes, ASN, registration patterns) to find related hosts. Activates for requests to track adversary infrastructure, cluster C2 servers, or pivot on infrastructure attributes to find related hosts.

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Operationalizes a threat intelligence report into hunts: extracting IOCs and TTPs, mapping behaviors to ATT&CK and available telemetry, prioritizing durable behavioral indicators over volatile atomic ones, and producing concrete hunt queries. Activates for requests to hunt from a threat report, operationalize CTI, or turn an intel report into detections.

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Extracts structure and indicators from a Windows PE file without executing it: headers, sections, imports/exports, resources, entropy, and embedded strings to infer capability and packing. Activates for requests to statically analyze a PE, EXE, or DLL, or inspect imports and headers.

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Hunts for Cobalt Strike beacon traffic by detecting default stager URI checksum8 values, default Malleable C2 profile artifacts, and default ports/named pipes in HTTP and process telemetry. Activates for requests to hunt Cobalt Strike, detect beacon stager URIs, or find default Malleable C2 indicators.

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Analyzes bootkit and rootkit samples by identifying boot-process tampering (MBR/VBR/ UEFI), kernel-mode components, and stealth hooking techniques from static indicators. Activates for requests to analyze a bootkit or rootkit, examine MBR/UEFI tampering, or identify kernel-mode stealth components.

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Statically analyzes Linux ELF malware: ELF header and sections, dynamic symbols and imports, segment permissions, embedded strings, and packing indicators to infer capability without execution. Activates for requests to analyze an ELF binary, Linux malware, or shared object.

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。