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File Detection Test September 2014

Date September 2014
Language English
Last Revision October 15th 2014

of Malicious Software including false alarm test

Release date 2014-10-15
Revision date 2014-10-15
Test Period September 2014
Number of Testcases 126335
Online with cloud connectivity checkbox-checked
Update allowed checkbox-checked
False Alarm Test included checkbox-checked
Platform/OS Microsoft Windows


The File Detection Test is one of the most deterministic factors to evaluate the effectiveness of an anti-virus engine. These test reports are released twice a year including a false alarm test. For further details please refer to the methodology documents as well as the information provided on our website. In this test, the following 23 up-to-date Security Products were tested using 126335 prevalent malware samples.

Tested Products

Test Procedure

Each test system is running on Microsoft Windows 7 64-Bit including a respective security product, which was last updated on the 3rd of September 2014. The malware sets were frozen on the 1st  September 2014. All products had Internet/cloud-access during the test and were tested using default settings. To ensure that all file recognition capabilities are used, we enabled scan of all files, scan of archives and scan for PUA in all products.

On each test system the malware set is scanned. The detections made by the security product are noted and analysed. Although no samples were executed during this test, we considered cases where malware would be recognized on-access, but not on-demand. The test is thus called File Detection Test (as opposed to the earlier On-Demand Tests), as on-access scanning is taken into consideration.

Please note: Several products make use of cloud technologies, which require an active Internet connection. Our tests are performed using an active Internet connection. Users should be aware that detection rates may in some cases be drastically lower if the scan is performed while offline (or when the cloud service is unreachable for various reasons). The cloud should be considered as an additional benefit/feature to increase detection rates (as well as response times and false alarm suppression), and not as a full replacement for local offline detections. Vendors should make sure that users are appropriately warned in the event that the connectivity to the cloud is lost, which may considerably affect the protection provided, and e.g. make an initiated scan useless. While in our test we check whether the cloud services of the respective security vendors are reachable, users should be aware that being online does not necessarily mean that the cloud service of the products they use is reachable/working properly. In fact, sometimes products with cloud functionality have various network issues due to which no cloud security is provided, but the user is not warned. AMTSO has a rudimentary test to verify the proper functionality of cloud-supported products.


The test-set used has been built consulting telemetry data with the aim of including prevalent malware samples from the last weeks/months prior to the test date which are/were endangering users in the field and consisted of 126335 samples.

Hierarchical Cluster Analysis

This dendrogram shows the results of the cluster analysis. It indicates at what level of similarity the clusters are joined. The red drafted line defines the level of similarity. Each intersection indicates a group.

Ranking System

The malware detection rates are grouped by the testers after looking at the clusters built with the hierarchal clustering method. However, the testers do not stick rigidly to this in cases where it would not make sense. For example, in a scenario where all products achieve low detection rates, the highest-scoring ones will not necessarily receive the highest possible award.

Detection Rate Clusters/Groups
(given by the testers after consulting statistical methods)
Very few (0-1 FPs)
Few (2-10 FP's)
Many (11-50 FPs)
Very many (51-100 FPs)
Crazy many (over 100 FPs)

Test Results

The test-set used contained 126335 recent/prevalent samples from the last few weeks/months. We estimate the remaining error margin on the final percentages to be below 0.2%.

Total detection rates (clustered in groups)

Please consider also the false alarm rates when looking at the file detection rates below.

1.Avira, Kingsoft99.9%
3.Baidu, Kaspersky99.7%
4.Bitdefender, F-Secure99.6%
5.eScan, Trend Micro99.5%
6.BullGuard, Lavasoft, Tencent99.4%
7.Emsisoft, Qihoo99.3%

Graph of missed samples (lower is better)

The graph below shows the test results against “out-of-box” Malware detection provided by Microsoft Defender, highlighted as the baseline.

False Positive (False Alarm) Test Result

In order to better evaluate the quality of the file detection capabilities (distinguish good files from malicious files) of anti-virus products, we provide a false alarm test. False alarms can sometimes cause as much trouble as a real infection. Please consider the false alarm rate when looking at the detection rates, as a product which is prone to false alarms achieves higher detection rates more easily.

1.ESET, Sophos1very few FPs
2.Panda2 few FPs
3.eScan, Emsisoft, Fortinet4
4.Avira, Qihoo, Trend Micro5
5.Bitdefender, BullGuard, Kaspersky, Lavasoft6
8.Kingsoft12 many FPs
14.Avast120 crazy many FPs

Details about the discovered false alarms (including their assumed prevalence) can be seen in a separate report available at:

Summary Result

A product that is successful at detecting a high percentage of malicious files but suffers from false alarms may not be necessarily better than a product which detects less malicious files but which generates fewer false alarms.

The following chart shows the combined file detection rates and false alarms.

Award levels reached in this File Detection Test

AV-Comparatives provides ranking awards. As this report also contains the raw detection rates and not only the awards, expert users that e.g. do not care about false alarms can rely on that score alone if they want to. The awards are not only based on detection rates – also false positives found in our set of clean files are considered.

* these products got lower awards due to false alarms


Information about additional third-party engines/signatures used inside the products: BullGuard, Emsisoft, eScan, F-Secure, Lavasoft and Qihoo use the Bitdefender engine. Baidu and Tencent use the Avira engine. Kingsoft uses the AVIRA and Bitdefender engine.

Even if we deliver various tests and show different aspects of anti-virus software, users are advised to evaluate the software by themselves and form their own opinions about them. Test data or reviews just provide guidance on some aspects that users cannot evaluate by themselves. We encourage readers to additionally consult other independent test results provided by various well-known and established independent testing organizations, in order to get a better overview about the detection and protection capabilities of the various products over different test scenarios and various test-sets. A list of various reputable testing labs can be found on our website.

Copyright and Disclaimer

This publication is Copyright © 2014 by AV-Comparatives ®. Any use of the results, etc. in whole or in part, is ONLY permitted after the explicit written agreement of the management board of AV-Comparatives prior to any publication. AV-Comparatives and its testers cannot be held liable for any damage or loss, which might occur as result of, or in connection with, the use of the information provided in this paper. We take every possible care to ensure the correctness of the basic data, but a liability for the correctness of the test results cannot be taken by any representative of AV-Comparatives. We do not give any guarantee of the correctness, completeness, or suitability for a specific purpose of any of the information/content provided at any given time. No one else involved in creating, producing or delivering test results shall be liable for any indirect, special or consequential damage, or loss of profits, arising out of, or related to, the use or inability to use, the services provided by the website, test documents or any related data.

For more information about AV-Comparatives and the testing methodologies, please visit our website.

(October 2014)