Attacks/Breaches

3/20/2018
04:00 PM
Dark Reading Staff
Dark Reading Staff
Products and Releases
50%
50%

Kaspersky Lab finds Prilex POS malware evolving to target chip and PIN-protected cards

The group behind the Prilex point-of-sale (POS) malware can now turn stolen credit card data into functional plastic cards according to the latest research from Kaspersky Labs.

Woburn, MA – Kaspersky Lab researchers have revealed that the group behind the Prilex point-of-sale (POS) malware can now turn stolen credit card data into functional plastic cards. The evolved threat, which currently operates in Latin America, is notable for its supportive, user-friendly business model that makes it easy for cybercriminals to launch attacks.

The use of ‘smart’ chip and PIN protected payment cards has spread globally over the last decade, and its growing adoption has inevitably attracted the attention of cybercriminals. Kaspersky Lab researchers monitoring financial cybercrime in Latin America have found that the Prilex malware has evolved to target this technology.

The Prilex malware has been active since 2014, and researchers have seen it migrate its efforts from ATM hacks to attacks on POS systems developed by Brazilian vendors, and now to using stolen credit card information to create functional plastic cards. The plastic cards allow a criminal to perform fraudulent transactions in any store, whether online or offline. This is the first time that the researchers have seen in the wild such a full suite of tools for carrying out fraud. The cloned credit card works in any POS system in Brazil due to a faulty implementation of the EMV standard where not all data is verified during the approval process.

From a technical perspective, the Prilex malware is comprised of three components: malware that modifies the POS system and intercepts the credit card information; a server used to manage the illegally obtained information; and a user application that the malware ‘client’ can use to view, clone or save statistics related to the cards (such as how much has been stolen using that card). This is the most notable feature of the malware: its associated business model, where all the users’ needs are taken into account, including the need for a simple and user-friendly interface.

The evidence suggests the malware is distributed through the traditional postal service, convincing victims to grant computer access to the criminals for a remote support session, which is then used to install the malware. Most victims observed to date tend to be traditional shops, such as gas stations, supermarkets and typical retail markets, all located in Brazil.

“We are dealing here with a completely new malware, one that offers attackers everything from a graphic user interface to well-designed modules that can be used to create different credit card structures,” said Thiago Marques, security analyst, Kaspersky Lab. “Chip and PIN technology is still relatively new in some parts of the world, such as the U.S., and people may lack awareness of the risk of credit card cloning and abuse. In Brazil, the evolved Prilex malware takes advantage of a faulty implementation of industry standards – highlighting the importance of developing secure, futureproof standards for payment technologies.”

For further information, please see the full report on Securelist.

 

Dark Reading's Quick Hits delivers a brief synopsis and summary of the significance of breaking news events. For more information from the original source of the news item, please follow the link provided in this article. View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
High Stress Levels Impacting CISOs Physically, Mentally
Jai Vijayan, Freelance writer,  2/14/2019
Valentine's Emails Laced with Gandcrab Ransomware
Kelly Sheridan, Staff Editor, Dark Reading,  2/14/2019
Making the Case for a Cybersecurity Moon Shot
Adam Shostack, Consultant, Entrepreneur, Technologist, Game Designer,  2/19/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
5 Emerging Cyber Threats to Watch for in 2019
Online attackers are constantly developing new, innovative ways to break into the enterprise. This Dark Reading Tech Digest gives an in-depth look at five emerging attack trends and exploits your security team should look out for, along with helpful recommendations on how you can prevent your organization from falling victim.
Flash Poll
How Enterprises Are Attacking the Cybersecurity Problem
How Enterprises Are Attacking the Cybersecurity Problem
Data breach fears and the need to comply with regulations such as GDPR are two major drivers increased spending on security products and technologies. But other factors are contributing to the trend as well. Find out more about how enterprises are attacking the cybersecurity problem by reading our report today.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-8980
PUBLISHED: 2019-02-21
A memory leak in the kernel_read_file function in fs/exec.c in the Linux kernel through 4.20.11 allows attackers to cause a denial of service (memory consumption) by triggering vfs_read failures.
CVE-2019-8979
PUBLISHED: 2019-02-21
Koseven through 3.3.9, and Kohana through 3.3.6, has SQL Injection when the order_by() parameter can be controlled.
CVE-2013-7469
PUBLISHED: 2019-02-21
Seafile through 6.2.11 always uses the same Initialization Vector (IV) with Cipher Block Chaining (CBC) Mode to encrypt private data, making it easier to conduct chosen-plaintext attacks or dictionary attacks.
CVE-2018-20146
PUBLISHED: 2019-02-21
An issue was discovered in Liquidware ProfileUnity before 6.8.0 with Liquidware FlexApp before 6.8.0. A local user could obtain administrator rights, as demonstrated by use of PowerShell.
CVE-2019-5727
PUBLISHED: 2019-02-21
Splunk Web in Splunk Enterprise 6.5.x before 6.5.5, 6.4.x before 6.4.9, 6.3.x before 6.3.12, 6.2.x before 6.2.14, 6.1.x before 6.1.14, and 6.0.x before 6.0.15 and Splunk Light before 6.6.0 has Persistent XSS, aka SPL-138827.