📞 Telephony Intelligence (TELINT)
Phone Numbers, Networks, and Telephony Data
Identity
Sources
0
0 no-auth
Mission domains
0
reach
Data points
0
covered
Related INT
0
disciplines
🔍 Lookup
📊 Pre-built Queries · Telephony Intelligence
📜 Playbook — Telephony Intelligence collection
- Direction — frame the requirement for Telephony Intelligence: what decision does this support, by when?
- Collection — collect from the 0 mapped sources (0 free) — filter the catalog by TELINT; capture provenance and observe OPSEC.
- Processing — normalize, de-duplicate and enrich the collected data.
- Analysis — correlate against local holdings; apply ACH; assign confidence.
- Dissemination — open a case, draft a report, share via STIX/MISP.
- Feedback — set an alert rule / watchlist to monitor for change.
⚡ AI Skills & Automation
Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).
🧩 Advanced Capabilities
✨ Enrichment pathways
🎯 Mission
TELINT collects intelligence from phone numbers, carrier metadata, and messaging-app presence to bind numbers to subscribers, devices, and accounts. It answers who owns a number, what carrier and line type it is, and which apps and identities are tied to it.
📡 Collection methods
- Number validation with carrier, line-type, and mobile-number-portability (HLR/MNP) lookup
- Country/area-code and prefix geolocation to region and originating operator
- Messaging-app presence checks on WhatsApp/Telegram/Signal for registration and profile photo
- CNAM and reverse-caller-ID enumeration for subscriber name resolution
- Number correlation against breach corpora and masked account-recovery hints
- TAC/IMEI decoding to derive device make and model when available
📚 Key sources & datasets
🎫 Data points produced
🔧 Tools & frameworks
- PhoneInfoga
- libphonenumber
- Ignorant
- Moriarty
- Maltego
- SpiderFoot
📜 Telephony Intelligence Tradecraft
- Collect: validate the number and pull carrier, line type, and region metadata
- Process: normalize to E.164 and cross-check messaging-app registration state
- Analyze: correlate the number with breach records, emails, and recovery hints
- Attribute: bind the number to a named subscriber and device via reuse pivots
- Disseminate: deliver a number dossier with app presence and confidence scoring
- Action: add high-risk numbers to monitoring or fraud watchlists
📊 Dashboard KPIs
Numbers profiledCarrier resolved %App presence hitsSubscribers linkedDevice model IDs
🔍 Pre-built queries
🔗 Cross-discipline pivots
🧩 Advanced Capabilities
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports
🤖 AI Copilot
⚡ AI Skills
🔍 Lookup & Enrich
📚 Docs & Reports
💡 Recommendations
- Explore related tools below
- Automate recurring work via cron