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Overview
CLI spoofing manipulates caller identity at the signalling layer to impersonate trusted brands, enterprises, or individuals. By falsifying CLI information across SIP or interconnect routes, fraudsters increase scam success rates and bypass basic screening controls.
Subex enables CSPs to detect signalling-layer spoofing patterns in real time using Signalling Risk Intelligence and multi-signal analytics. The solution helps operators enforce identity policies, reduce scam enablement, and protect both subscribers and enterprise brands.
Real Impact. Real Efficiency. Real Results.
Real-time spoof protection (via Signaling Risk Intelligence)
Detect spoofed calls in real time using signaling-layer signatures and ML model-based algorithms, so CSPs can act earlier in the call lifecycle and reduce customer impact.
Lower scam success rates
Limit identity manipulation to reduce the effectiveness of impersonation and social-engineering scams.
Stronger regulatory posture and customer confidence
Demonstrate tighter control over identity presentation and enforcement, improving trust and helping meet regulatory expectations.
Protection for legitimate enterprise calling
Apply targeted controls that reduce fraud while preserving valid use cases such as enterprise PBXs and authorized CLI presentation.
Better evidence for partner escalation
Provide investigation-ready evidence to support interconnect partner escalation, remediation, and dispute resolution.
The Challenge
Industry impact: Spoofing/CLI manipulation is estimated at about $3.55B in losses and is closely linked to scam and impersonation attacks. (Source: CFCA Global Fraud Loss Survey 2025).
Spoofed caller IDs enable high-impact scams and account takeover attempts.
Spoofing tactics evolve quickly and vary by route and interconnect partner.
Poor visibility into signaling and routing context limits enforcement.
Legitimate use cases (e.g., enterprise PBXs) require careful policy handling.
Where Channels Meet Control
Inspect signals. Detect spoofing. Mitigate in real-time.
Signaling Risk Intelligence for real-time detection
Leverage signaling-layer signatures and ML model-based algorithms to identify spoofed calls as they occur, minimizing latency and customer exposure.
Multi-signal spoofing detection logic
Combine calling behavior, routing context, and policy checks to flag suspicious identity patterns with higher precision.
Configurable policy controls
Create allow/deny controls by prefix, enterprise, route, and partner—tailored to local regulations and business rules.
Investigation workflow with evidence
Support analyst-led case investigation with contextual evidence and recommended actions to speed up response and standardize handling.
Integration hooks for enforcement and reporting
Connect detections to downstream controls and reporting systems for automated actions, monitoring, and compliance reporting.
Frequently Asked Questions
Everything you need to know about how our fraud management solutions work.
Why do fraudsters use CLI Spoofing?
Fraudsters spoof caller IDs to:
- Impersonate banks, government agencies, or enterprises
- Increase answer rates by appearing legitimate
- Bypass call-blocking mechanisms
- Execute large-scale scam and social engineering attacks
How does CLI Spoofing impact telecom operators?
How does CLI Spoofing affect end customers?
How is CLI Spoofing different from robocalling?
What role does signalling intelligence play in detecting spoofing?
How does real-time spoof detection work at the signaling layer?
Can the system operate inline (real-time) without impacting call setup latency?
Ready to catch spoofed calls before they reach your subscribers?
Signalling Risk Intelligence and ML-powered detection inspect every call at the routing layer — blocking identity manipulation early in the call lifecycle, not after the damage is done.