Webinjects – RAT – Android Overlay – Rogue apps

Adaptive Banking Malware Detection

CSD for Android is a security library that integrates into a native Android app and performs detection of rogue apps and Android Overlay Attacks such as Marcher and Slempo Android malware families.

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CSD

What is CSD for Web & Android?

CSD for Web performs detection against Web based banking malware attacks such as Webinjects and Remote Access Trojan (RAT) sessions.

Proactive and adaptive fraud detection

CSD has been created with proactive analysis and adaptability of ever changing banking malware attacks in mind. After many years of experience as malware consultants within anti-cybercrime teams of financial institutions we have learned that adaptability of detection approaches is the strongest weapon against everyday malware changes. In addition, CSD’s core detection engine relies on a proactive fraud detection approach without the need of updating blacklist signatures.

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FEATURES

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Proactive detection approach

CSD’s core detection engine uses a proactive detection mechanism that is based on the ‘known good’ design principle (white-list). This means that everything on the website that is not part of the original page (known good) will be marked as potential malicious and process by a malware expert in the CSD Portal (dashboard). The proactive approach allows us to detect test cases of malware writers and update the detection engine accordingly before the actual attack emerges.

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   Detection configurations

The strongest part of the CSD dashboard is the configuration panel that allows malware experts to quickly change detection approaches, encryption keys or act on notification and trip wires that are triggered by malicious actors by switching between pretested detection configurations within one second.

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Android Overlay and Rogue Apps

Android overlay banking malware families are researched in our malware lab on a daily basis. The intel gathered from real life malware samples are used to improve detection of rogue apps. In addition, the known good approach is used in detection to build a proper intel base of potential rogue apps within the CSD Dashboard of a malware analyst.

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Client-less

CSD does not step outside the browser for security, privacy and maintenance reasons. Hence, it does not require the bank to deploy client-software on their user’s machine.

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Our partners

blockchain app development company
BitQT project
immediate momentum review
move out cleaning service
Trader AI

CASE STUDY

CSD been created in collaboration with designers, developers, and fraud experts of ABN AMRO Bank N.V. and has been successfully deployed in their online banking environment and fraud control engines for several years.

“ABN AMRO Bank was able, thanks to development partner Securify, to get a reliable score on the chance that a transaction could be originated by criminals using malware. By using this score together with customer/transaction profiling, the bank remains in control on the majority of fraudulent transactions.”

Ethan Valdez​

California​

“Proin gravida nibh vel velit auctor aliquet. Aenean solli citudin, lorem quis bibendum auctor, nisi elit consequat gravida nibh vel ipsum.”​

Adam Brooks​

Los Angeles​

Securify B.V.

We are a passionate team of application security specialists and malware experts that helps organizations to secure their web and mobile applications, from design to go-live.

We go beyond security pentesting alone. For our financial clients we are their trusted partner in malware analysis and in good collaboration improve and build fraud detection software for their large online financial landscape.

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