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Gathering Threat Intelligence on Telephony Scams to Detect Fraud

Black Hat via YouTube

Overview

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Explore a comprehensive analysis of telephony-based cybercrime techniques in this Black Hat conference talk. Dive into the world of robocalling, voice phishing, and caller ID spoofing as Aude Marzuoli presents findings from a large-scale telephony honeypot study. Learn how to gather threat intelligence, track calling patterns, and develop methodologies to fingerprint bad actors hiding behind multiple phone numbers. Discover how to detect fraudulent calls within seconds using audio feature extraction. Examine the analysis of over 100,000 recorded calls and millions of call records, revealing that a small number of bad actors are responsible for the majority of spam and scam calls. Gain insights into the implications for law enforcement and businesses combating telephony fraud. Understand the advantages of telephony honeypots over online complaints, and explore system details, call transcription, natural language processing, and clustering techniques. Delve into specific scam examples, including Google-related scams and debt collector tactics. Acquire knowledge on automating scam detection and tracking to enhance fraud prevention efforts in the telephony channel.

Syllabus

Intro
Outline
Phoneypot IN ONE MONTH
PHONEYPOT VS ONLINE COMMENTS
System Overview
System Details
Call Transcription & processing
Natural Language Processing
Examples of Topics from Robocalls
Keywords are too noisy
Clustering of transcripts similarity matrix
Cluster extraction
Cluster Phoneprinting
Phoneprints are voice agnostic
Phoneprinting distinct telephony infrastructures
Google-related scams
Sharon, your Google specialist
Google Business Listing
Debt Collectors
Election year
Automating scamy spam detection and tracking
Conclusion
Acknowledgements & Questions
Experiment Overview

Taught by

Black Hat

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