A new Trojan called “W32.Silon” is the latest headache for online banks and their customers, packing a one-two punch that helps it evade security tokens and steal customer log-in information at the same time.
The two-headed Trojan, according to online security software vendor Trusteer, uses a “two-pronged payload” to steal log-in information and commit financial fraud at popular online banks.
“This new Trojan illustrates how advanced malware writers have become in their ability to dynamically execute multiple, bank-specific attacks with a single piece of software,” Amit Klein, CTO and chief researcher at Trusteer, said in a statement. “The level of sophistication built into W32.Silon is concerning, as is its focus on circumventing strong authentication systems like card and PIN readers.”
W32.Silon is a new malware variant that intercepts Internet Explorer Web browser sessions and has been associated with fraud incidents at several large banks, according to Trusteer researchers.
To steal user credentials, W32.Silon performs its initial attack when a user begins a Web log-in session and enters his username and password. The malware intercepts the log-in POST request, encrypts the requested data and sends it to a command-and-control (C&C) server.
When it targets users of online banking applications that are protected by transaction authentication devices such as tokens or banking card readers, W32.Silon waits until the user has logged in and then injects dynamic HTML code into the log-in flow between the user and the bank’s Web server.
First, the malware presents authentic-looking Web pages that appear to be from the bank asking users to employ their transaction authentication device. Next, the user is asked to enter information from the device into the Web page.
This information is then used by the criminals to execute fraudulent transactions on behalf of the user, Trusteer said.
“We have put all of our banking customers on alert, and are attempting to get the word out with this advisory,” Klein said.
The sophistication of online scams has evolved to a point where watchdogs organizations such as the Anti-Phishing Working Group (APWG) have created an entirely new category for defining and quantifying attacks on financial institutions.
The group now defines “crimeware” as code designed to attack the data held by financial institutions.
“Due to evolution of attack sophistication, it is becoming increasingly difficult to separate and report on attacks that are specifically designed to steal customer banking information,” Dan Hubbard, Websense’s CTO, said earlier this month. “Additionally, attacks that only [look] for credentials from popular social networking, Webmail and gaming sites can lead to attacks for banking theft and crimeware.”
Trusteer advises online banking customers to be especially vigilant when conducting transactions online and to visit its Web site for help detecting and removing the W32.Silon Trojan.
Article courtesy of InternetNews.com.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.