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1
Introduction
2
Overview
3
Call Center Fraud
4
IVR
5
Call Center
6
Reveal
7
Mode of Operation
8
Analysis
9
Voice over IP
10
Shortterm energy
11
Packetization
12
IRS Scam
13
Electrical Grid Interference
14
Acoustical Anomalies
15
Distribution of Fraudsters
16
Anomalies
17
Separating Good and Bad Calls
18
Creating Fraudster Profiles
19
Plotting Fraudster Profiles
20
Voice Distortion
21
Red Pockets
22
CDR Data
23
Reputation Velocity Behavior
24
Reputation Example
25
Velocity Example
26
Reconnaissance Example
27
Overall Result
28
Example
29
Key takeaways
30
Time gap between fraud stages
31
False positive rate
32
Changing vectors of attack
33
How common is this technology
Description:
Explore the intricate world of phone fraud in this Black Hat conference talk. Delve into the lifecycle of phone fraudsters and learn how to detect account takeover attempts through acoustical anomalies and graph analysis. Discover techniques to identify reconnaissance calls days before actual account takeovers occur. Examine a dataset of hundreds of millions of calls to understand the methods used by fraudsters to socially engineer call center agents and exploit system vulnerabilities. Gain insights into the effectiveness of using acoustical anomalies for fraud detection, achieving over 80% accuracy with less than 2% false positives. Investigate the application of graph analysis in identifying reconnaissance calls preceding account takeovers. Uncover the various stages of phone fraud, including IVR manipulation, call center exploitation, and voice distortion techniques. Learn about the distribution of fraudsters, creation of fraudster profiles, and the importance of reputation and velocity in fraud detection. Analyze real-world examples, including IRS scams and electrical grid interference. Understand key takeaways such as time gaps between fraud stages, changing attack vectors, and the prevalence of this technology in the industry. Read more

Lifecycle of a Phone Fraudster - Exposing Fraud Activity

Black Hat
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