Proactively Detect Call Spoofing Attacks With Sophisticated Algorithms From RedShift Networks
Proactively Detect Call Spoofing Attacks With Sophisticated Algorithms From RedShift Networks
Call Spoofing attacks change the Automatic Number Identification (ANI) on an inbound call to originate from an unintended source. This makes traditional security detection difficult and blocking nearly impossible. Call Spoofing is usually a precursor to more targeted attacks such as Phishing, TDoS, Voicemail theft, Toll Frauds, or financial fraud.
The advent of VoIP and use of SIP within 5G VoLTE networks simplifies attacks for perpetrators and fraudsters. The create a spoofing incident to flood enterprises and contact centers with illegitimate spoofed calls disrupting normal business.
Outcomes are typically negative including:
- Customer, partner, prospect traffic grinds to a halt
- Customer dissatisfaction and churn
- Enterprise and/or service provider loss in revenues.
Simple 1-touch call authentication technologies as a brute force first preventive measure are industry standard. These can work but require user intervention with additional workflow steps and inconvenience.
RedShift Networks provides sophisticated algorithms (patent approved) to proactively check for Caller ID spoofing attacks. This approach provides deep UC aware stateful inspection checks that identify SIP anomalies at various layers using combination of:
- endpoint integrity checks,
- session anomalies
- registration checks by caller ID
- IP address
- User Agent
- Geo parity
- STIR/SHAKEN ATIS completed Anti-Robocall implementation
- User behavior analytics
- checks against real time Fraud and Botnet database.
IT departments also decide to provide Policy Zones to gain more specific controls on the usage of long distance and international calls. These zones create different security policies and attach it to a group of users. This optional feature along with configuration ensure policies are enforced by the Toll fraud detector. The Fraud database is constantly updated and provides a list of all known and/or learned Fraudster locations, Botnets, War dialers, spamsters or scanners that should be blocked.