Recent Tests
Android Efficacy Assessment – Q3 2018
- 7 AV applications tested
- 250 in-the-wild samples
- 8 simulator samples
- 3 real-life scenarios
- operating system: Android 6.0
360 Assessment & Certification – Q2 2018
- 11 applications tested
- 387 In-the-Wild malware samples used
- Operating System: Windows 10 x64
- Browser: Edge
- Real World scenario with no user initiated threat neutralization
TRAPMINE ThreatScore Machine Learning Engine Malware Detection Certification
ThreatScore is a machine learning-powered malware detection engine, a part of TRAPMINE which is an endpoint protection platform combining proven technologies such as machine learning, behaviour monitoring and endpoint deception techniques.
This assessment measured the protection capabilities of TRAPMINE ThreatScore static machine learning (ML) engine.
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Online Banking Certification – Q1 2018
- 12 Applications Tested
- 68 In-the-Wild Financial malware samples
- 1 Live Botnet
- 1 Simulated Attack
- Operating System: Windows 10 x64, Windows 7 x64
- Browser: IE, Edge
Case Study: Webroot
Webroot has worked with MRG Effitas over the past several years due to their unique capacity to test efficacy functionality that goes beyond simply blocking a threat. While Effitas does understand that prevention is important, they were the first to introduce testing that looked at detection of specific malicious behaviors by using malware simulation tools to replicate what behaviors were being encountered in the wild.
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