Weekly Summary

SPOTLIGHT, VULNERABILITY CHAT & PRIVACY HEADLINES
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4,989,073 leaked accounts discovered by the BreachAware® Research Team last week.

17 October 2022

A total of 9 breaches were found and analysed resulting in 4,989,073 leaked accounts containing a total of 14 different data types. The breaches found publicly and freely available included KFC, Kinokassa, Viva Air, Noveo Solutions and Intim Shop. Sign in to view the full BreachAware Breach Index which includes, where available, reference articles relating to each breach.

SPOTLIGHT

First up, a UK based company that monitors special categories of personal information. For example politically exposed individuals and organisations that have committed or suspected acts of financial crimes such as fraud, money laundering and tax evasion. And yes, they have been breached. A huge amount of personal information has been exposed including full names, birthplace, along with crimes each person has committed or is suspected of committing.

A Colombian airline suffered a large data breach earlier this year and their users have been dumped for free on one of the larger hacking forums in the past week. The airline has been running for over seven years and 20 million people have travelled with them. Unfortunately 1.4 million of those passengers has had a wide rang of datasets posted online. Partial credit card details, IP address’s and full names. It's frustrating because travel information is very accurate and few people lie on their flight tickets in the name of privacy, so you can be certain that this information will be used for identity theft and other nefarious purposes.

This next breach is from a large API company which offers Forex rates on over two hundred currencies from across the world. The company in question has a great client list. The datasets included hashed bcrypt passwords and payment information which is now in circulation on a variety of underground forums.

DATA CATEGORIES DISCOVERED

Contact Data, Technical Data, Financial Data, Transactional Data, Socia-Demographic Data, Locational Data.

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