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WhatsApp Data Leak & Cybercrime Roundup: Largest Data Scrape in History

Content Introduction

Analysis of three major cybersecurity stories: WhatsApp's phone number enumeration vulnerability exposing 3.5B users, Europol's takedown of massive SIM card farming operation, and North Korean hackers using AI filters for remote job fraud

Key Information

  • 1WhatsApp vulnerability allowed scraping of 3.5B user profiles via phone number enumeration
  • 2No rate limiting enabled 100M phone number lookups per hour from single IP
  • 3Europol seized 1,200 SIM boxes and €2M+ in assets from criminal operation
  • 4North Korean hackers using AI filters and stolen identities for remote job interviews
  • 5GoGetSMS.com service facilitated 49M+ fraudulent account registrations
  • 6Researchers struggled for year to get Meta's attention on WhatsApp security flaw

Content Keywords

#Phone Number Enumeration

Brute-force technique to discover valid phone numbers and associated user data

#SIM Farm Operation

Large-scale SIM card arrays used for bulk account creation and verification bypass

#Rate Limiting Bypass

Security failure allowing unlimited automated requests from single source

#Identity Theft Fraud

North Korean state-sponsored hackers using stolen identities for remote work scams

#Bulk Data Scraping

Mass automated collection of user data from public APIs and services

Related Questions and Answers

Q1.How were researchers able to scrape all WhatsApp user data?

A: By exploiting lack of rate limiting to test 63B phone number combinations at 100M/hour rate using unofficial WhatsApp client, collecting names, numbers, profile pictures and about text

Q2.What made the WhatsApp data scrape particularly dangerous?

A: Profile pictures enable facial recognition matching to phone numbers, about texts contained sensitive government emails, and the data could identify users in countries where WhatsApp is banned

Q3.How were SIM farms used for criminal activities?

A: Rented out phone numbers for 10-minute intervals to receive 2FA codes, enabling mass creation of fraudulent social media and financial accounts for scams

Q4.What techniques did North Korean hackers use to bypass job interviews?

A: Used AI brownface filters, stolen identities, fake backgrounds, and avoided speaking native languages while interviewing for remote positions at Western companies

Q5.Why was Meta slow to respond to the WhatsApp security issue?

A: Researchers contacted Meta for nearly a year with minimal response until threatening publication, prompting immediate action and security fixes

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