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1 Trojan:Android/OpFake Description | F-Secure Labs
https://www.f-secure.com/v-descs/trojan_android_opfake.shtml
The first variant, OpFake.A is disguised as an Opera Mini web browser updater, to the extent of adding an Opera icon on the menu and displaying a fake download ...
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2 Trojan-SMS.AndroidOS.Opfake - Kaspersky Threats
https://threats.kaspersky.com/en/threat/Trojan-SMS.AndroidOS.Opfake/
› Threats › Trojan-SMS
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3 android-malware/Opfake.A.apk at master - GitHub
https://github.com/ashishb/android-malware/blob/master/BreakBottleneck/SamplesOfHIP2014TalkBreakBottleneck/Opfake/Opfake.A.apk
Collection of android malware samples. Contribute to ashishb/android-malware development by creating an account on GitHub.
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4 “We Know What You Did This Summer” Android Banking ...
https://www.sit.fraunhofer.de/fileadmin/dokumente/artikel/Whitepaper_AndroidBankingTrojansExposingSinsCloud.pdf?_=1449754647
additional features such as push notification mechanisms, user management or integrating social ... Android/OpFake pretending to be the app Chat for Friends.
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5 Free Automated Malware Analysis Service - powered by Falcon ...
https://hybrid-analysis.com/sample/c85dc1537f659e5da8c8d346edb49d062ceccf195018ed1ec4ac66ce0d9df8dd?environmentId=100&lang=pl
› sample
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6 Antimalware Evaluation for DroidKungFu, Opfake ...
https://www.researchgate.net/figure/Antimalware-Evaluation-for-DroidKungFu-Opfake-DroidKungFuMorph-and-Opfake-Morph_tbl2_291116271
Its complexity increases due to the high number of features that can be obtained from Android apps in order to improve detection. Present paper proposes wrapper ...
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7 Self-Protection of Android Systems from Inter-Component ...
https://hammadmahmoud.github.io/shared/mahmoud_thesis.pdf
4 The Effects of Code Obfuscations on Android Apps and Anti-Malware. Products ... new features in the form of apps or plug-ins on top of a platform.
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8 The Top 20 Android Malware - Quick Heal Mobile Threat Report
https://blogs.quickheal.com/the-top-20-android-malware-quick-heal-mobile-threat-report/
Opfake.E is a Trojan horse detected on Android devices. It comes bundled with a legitimate version of the Opera mobile browser. 20. Android.
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9 21 Why an Android App Is Classified as Malware - PKU-Exploit
http://www.pkuexploit.com/files/paper23.pdf
tice and use API calls and permissions as the features to train a malware ... Opfake family sends SMS messages to premium-rate numbers on the Android ...
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10 Symantec warns of Android Trojans that mutate with every ...
https://www.computerworld.com/article/2500968/symantec-warns-of-android-trojans-that-mutate-with-every-download.html
A new Android Trojan employs server-side polymorphism to generate unique ... Opfake, and all of them are distributed from Russian websites.
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11 Full article: Effective classification of android malware families ...
https://www.tandfonline.com/doi/full/10.1080/09540091.2021.1889977
Section 3 will describe the static and dynamic features extracted to build the UMD dataset. Section 4 will present the CuckooDroid sandbox used ...
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12 Why an Android App is Classified as Malware ... - arXiv
https://arxiv.org/pdf/2004.11516
features most related to the classification result. ... Opfake family sends SMS messages to premium-rate numbers on the Android platform. As.
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13 Android malware analysis in a nutshell - PMC - NCBI
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255778/
Therefore, the main features of the Android malware APKs can be extracted and obtained by the unzipping or ... Opfake, 613, Youmi, 1301.
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14 Android Malware Category and Family Identification Using ...
https://jitm.ut.ac.ir/article_53318_7227.htmlhttps:/jitm.ut.ac.ir/article_88133.html
They used model checking to test their model against two of the most diffused malware families in the Android environment: the DroidKungFu and the Opfake ...
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15 Scalable and robust unsupervised android malware ... - OUCI
https://ouci.dntb.gov.ua/en/works/98q82Q27/
Andr/OpFake-U malware family https://www.sophos.com/en-us/threat-center/threat-analyses/viruses-and-spyware/Andr~OpFake-U.aspx. 2016. Android Wear Operating ...
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16 OpFake - News, Features, and Slideshows - CSO | The Resource for ...
https://www2.cso.com.au/tag/opfake/
Russian speaking hackers are targeting Android devices installed with apps from nearly all Australian banks in order to intercept SMS codes used to ...
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17 A Hierarchical Approach for Android Malware Detection Using ...
https://mdpi-res.com/d_attachment/electronics/electronics-10-00432/article_deploy/electronics-10-00432.pdf?version=1612943737
Static analysis features can be extracted from the application, scanned, ... Opfake. 1077. 1004. 93.22%. 5. Trojan.Android.Dowgin.
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18 Detecting and Categorizing Android Malware with Graph ...
https://heir2020.eu/sites/default/files/docs/SAC_2021_Detecting.pdf
Processing (NLP) inspired Android malware detection and catego- ... various Android app features from manifest files and source code.
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19 Analysis of Malware Families on Android Mobiles - CiteSeerX
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=fa10926160e35d94811f5fd9239f5ef64cd61c69
similar activation, facial features, hereditary diseases and ... Request open “Unknown sources”. Download from Android market. Opfake.
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20 (PDF) How to Tame Your Android Malware | Ivan Burke
https://www.academia.edu/29265003/How_to_Tame_Your_Android_Malware
With the increased popularity of Android devices and open source features the ... analysis of the well known OpFake malware (aka Opera Fake) was performed.
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21 Mining API-Level Features for Robust Malware Detection in ...
https://web.ecs.syr.edu/~wedu/Research/paper/Malware_Analysis_2013.pdf
Keywords: Android, malware, static detection, classification. 1 Introduction ... malware belonging to the following families: SpyEye, OpFake, Gemini, etc.
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22 Mobile Malware Targets Android Phones: new Kaspersky Lab ...
https://www.ma-no.org/en/security/mobile-malware-targets-android-phones-new-kaspersky-lab-report
Opfake.a (12.23%) and Trojan-SMS.AndroidOS.Opfake.bo (11.49%). The first modifications of the Opfake family of threats were disguised as the ...
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23 Hackers target major Australian banking apps for cash
https://www.csoonline.com/article/3504267/hackers-target-major-australian-banking-apps-for-cash.html
Russian speaking hackers are targeting Android devices installed with ... The “OpFake” Android malware has been around in various forms for ...
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24 A Multiclass Detection System for Android Malicious ... - Hindawi
https://www.hindawi.com/journals/wcmc/2020/8882295/
We use four types of Android App features: classes.dex file, sets of class ... and modify browser home page, add bookmarked(5)Opfake: forge the interface, ...
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25 Android malware charging fee for free apps - Techyv.com
https://www.techyv.com/questions/andriod-malware-charing-fee-free-apps/
I read about a malware from the Andriod.opfake family that tricks users to pay for installing Android applications that are actually ...
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26 System Call Analysis of Android Malware Families
https://sciresol.s3.us-east-2.amazonaws.com/IJST/Articles/2016/Issue-21/Article62.pdf
features for intrusion detection. ... based on two features- permission and system call. In this ... of 10 malware families FakeInstaller, Opfake, Plankton,.
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27 Beyond Apps: 2013 Mobile Year-End Review - Security News
https://www.trendmicro.com/vinfo/fi/security/news/mobile-safety/beyond-apps-2013-mobile-year-end-review
Considering that the first Android malware came out in 2010 and that it ... Built-in features and apps have made smartphones a repository of ...
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28 Ensemble Clustering and Classification for Predicting Android ...
https://fabio.pierazzi.com/papers/tdsc17_supplementary.pdf
Although Opfake shares a similar goal as. FakeInstaller (i.e., SMS fraud), in the second row of. Figure 3 we see that its top 5 distinguishing features are.
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29 Machine-Learning-Based Android Malware Family ... - MDPI
https://www.mdpi.com/2076-3417/11/21/10244
As a result, Android permissions are very popular features and the most used in ... FakeInstaller, Opfake, and Plankton (see Table 1), were classified well.
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30 A Deep Dive Inside DREBIN: An Explorative Analysis beyond ...
https://dl.acm.org/doi/full/10.1145/3503463
DREBIN is an Android malware detector that makes use of static ... in each Android app package, DREBIN extracts four sets of string features ...
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31 Android Gingerbread Is Taster's Choice for Mobile Attacks
https://www.securityweek.com/android-gingerbread-tasters-choice-mobile-attacks-kaspersky-lab
According to Kaspersky, 91 percent of all Android malware ... "The OpFake family has become the most widespread (38.3 percent of all the ...
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32 Android Flows, API Calls and Intent Action for Drebin Dataset
https://data.mendeley.com/datasets/4sksrpm5vj/1
... and explainable detection of android malware in your pocket., in: NDSS, 2014. https://www.sec.cs.tu-bs.de/~danarp/drebin/ The features ...
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33 Comprehensive Behavior Profiling for Proactive Android ...
https://www.gcc.edu/Portals/0/InformSecurityConfAndroidMalware.pdf?ver=2019-10-04-171532-307
malware detection on Android devices. The approaches differ in the features ex- tracted and the classification algorithms employed, leading to varying ...
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34 Mobile Threat Monday: Android Trojan Turns Your Phone Into ...
https://www.pcmag.com/news/mobile-threat-monday-android-trojan-turns-your-phone-into-a-nasty-spam
Opfake.a" has access to a wide range of abilities. ... These features are actually the most critical, since the Trojan's operators have been ...
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35 Identifying Insecure Features in Android Applications using ...
https://pdfs.semanticscholar.org/73d4/06e8416d142be7f53c787f2f4c5b93c735c9.pdf
Instead, Opfake and Plankton malware samples lar- gely expose the public Shared Preferences vulnerabi- lity. ACKNOWLEDGEMENTS. This work has been partially ...
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36 DroidEnsemble: Detecting Android ... - KAUST Repository
https://repository.kaust.edu.sa/bitstream/handle/10754/627931/08357771.pdf?sequence=1&isAllowed=y
detection of Android malapps with structural features, such as Control Flow Graph (CFG) and ... tiple malicious families, such as FakeInst, Opfake, FakeIn-.
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37 Android Fragmentation in Malware Detection - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0167404819301361
New features in apps and devices are introduced frequently in each release, which is the result of significant changes underneath the application framework.
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38 Daily Ruleset Update Summary 2020/09/18 | Proofpoint US
https://www.proofpoint.com/us/daily-ruleset-update-summary-20200918
2014161 - ET MOBILE_MALWARE Android/FakeTimer. ... 2805779 - ETPRO MOBILE_MALWARE Android/OpFake. ... FE Checkin (trojan.rules)
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39 Current Android Viruses List - Dr.Fone - Wondershare
https://drfone.wondershare.com/android-tips/top-android-virues-list.html
FakeInst was found in dozens of android apps which are available to download on third party app store which it used to send premium rate SMS messages. OpFake.
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40 DroidEnsemble: Detecting Android Malicious ... - IEEE Xplore
https://ieeexplore.ieee.org/iel7/6287639/8274985/08357771.pdf
of Android malapps with structural features, such as control flow graph and ... FakeInst, Opfake, FakeInstaller, DroidKungFu, GinMaster,.
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41 Top 13 Android Viruses 2020 - GizMeek
https://gizmeek.com/top-13-android-viruses-2020
Also, this malware made a total of 337 Android apps as a victim. ... The total rate of infection of the OpFake virus is about 14% according to Trend Micro's ...
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42 Drebin: Effective and Explainable Detection of Android ...
https://www.ndss-symposium.org/wp-content/uploads/2017/09/11_3_1.pdf
Due to the broad analysis of features however, our method raises the bar for attackers to infect smartphones with malicious applications and strengthens the ...
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43 Two new Android threats - Spiceworks Community
https://community.spiceworks.com/topic/194524-two-new-android-threats?from_forum=531
Android.Opfake is a detection for Trojan horse... | Android. ... testing exploits right away, more control of the features without jail breaking the phone.
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44 WHOSE PHONE IS IN YOUR POCKET?
https://www.botconf.eu/wp-content/uploads/2015/12/OK-P08-Mikhail-Kuzin-Nikita-Buchka-Whose-phone-is-in-your-pocket.pdf
The geography of Android malware infection attempts in Q3 2015 ... The number of new Android threats ... Opfake.a. 4,8%. 8. Trojan.AndroidOS.Guerrilla.a.
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45 Mobile Users Face Olympics Scams And Malicious Android ...
https://www.darkreading.com/mobile/mobile-users-face-olympics-scams-and-malicious-android-applications-according-to-gfi-software
OpFake and Boxer malware families continue to evolve and infect smartphones and tablets.
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46 AndroTracker: Creator Information based Android Malware ...
https://cs.ucf.edu/~mohaisen/doc/wisa14c.pdf
Keywords: Mobile malware, Android security, malware detection, ... dynamic analysis-based techniques usually enable the use of features ... OpFake(130).
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47 Android in 2021 year in review: The highs and the lows
https://www.techrepublic.com/article/android-2021-a-year-in-review/
The new features added to Android 12 included scrolling ... ExoBot, Android Police Virus, FakeInst, BlackRock, OpFake, BaseBridge, ...
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48 Fingerprinting Android malware families
https://journal.hep.com.cn/fcs/EN/article/downloadArticleFile.do?attachType=PDF&id=19852
tics of malware families and the features that can describe a particular family have been less ... (3) Opfake family (1,004 samples) It masquerades as var-.
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49 Network Traffic Android Malware - Kaggle
https://www.kaggle.com/datasets/xwolf12/network-traffic-android-malware
In this work, we propose to consider some network layer features as the basis for machine ... Opfake;0;0;0;0;0;0;1;1;142;70;NA;NA;NA;1;1;malicious2%.
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50 Analysis of Android Intent Effectiveness in Malware Detection
https://nottingham-repository.worktribe.com/preview/4902526/AndroDialysis--_Analysis_of_Android_Intent_Effectiveness_in_Malware_Detection.pdf
Additionally, experiment on combination of both features results in detection rate of 95.5%. Keywords: mobile malware, android, intent, smartphone security, ...
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51 Almost all new mobile malware targets Android Phones
https://www.firstpost.com/tech/news-analysis/almost-all-new-mobile-malware-targets-android-phones-3626805.html
Malware has always been a pressing issue for Android, which is the worlds most popular ... tablet and mobile specifications, features, prices, comparison.
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52 A Multiclass Detection System for Android Malicious ... - EHESP
https://hal.ehesp.fr/hal-03094898/file/8882295.pdf
We use four types of Android App features: classes.dex file, sets of class ... (5) Opfake: forge the interface, let the user think the soft-.
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53 Mobile Malware Evolution: 2013 | Securelist
https://securelist.com/mobile-malware-evolution-2013/58335/
Opfake.a, in addition to its own activity, also spread Backdoor.AndroidOS. ... Android remains a prime target for malicious attacks.
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54 A detection method for android application security based on ...
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238694
However, machine learning has high requirements for sample features. Now, more and more scholars use hybrid methods to detect Android malware [ ...
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55 David Schwartzberg - SchwartzNET Labs - Black Hat
https://www.blackhat.com/docs/us-14/materials/arsenal/us-14-Schwartzberg-ZitMoNoM-Slides.pdf
Features Help with... What is ZitMo NoM? ... Android. The PC ZeuS Trojan is notorious for http form injections to steal additional ... Android/OpFake Family.
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56 Cybersecurity Datasets: 10. Android Malware Static Analysis ...
http://ahlashkari.com/Datasets-Android-Malware-Static-Analysis.asp
Cybersecurity Datasets: 10. Android Malware Static Analysis (CCCS-CIC-AndMal2020) · 1 - opfake - 368 · 2 - hipposms - 20 · 3 - podec - 13 · 4 - feejar - 56 · 5 - ...
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57 When Malware Goes Mobile: Causes, Outcomes and Cures
https://www.sophos.com/enus/medialibrary/Gated%20Assets/white%20papers/Sophos_Malware_Goes_Mobile.pdf
Bouncer application for Android, malware impacts both iOS and ... Donuts3 began accepting mobile payments via iOS and Android-enabled ... and features.
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58 Ensemble Framework Combining Family Information for ...
https://academic.oup.com/comjnl/advance-article/doi/10.1093/comjnl/bxac114/6672798?searchresult=1
However, existing Android malware detection. ... First, eight categories of features are extracted from Android application packages.
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59 Techniques for Advanced Android Malware Triage
https://0m1d.com/assets/pdf/PhD_Thesis.pdf
malware which does not only rely on static features. • Alleviating the difficulties in the current analysis of advanced An- droid malware which are ...
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60 Anti-Virus | FortiGuard
https://www.fortiguard.com/updates/antivirus?version=88.00500
Android/Agent.FE!tr. Mod. Android/Boqx.A!tr.dldr. Mod. Android/GingerMaster.E!tr.bdr. Mod. Android/Gumen.A!tr. Mod. Android/OpFake.BX!tr.
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61 Android Malware Identification Through Visual Exploration of ...
http://ijns.jalaxy.com.tw/contents/ijns-v20-n6/ijns-2018-v20-n6-p1061-1073.pdf
And there are special fingerprint features for ... describe the Android malware features. ... Opfake. 0.9691. 0.9787. 0.0070. 0.9795. 0.9790. Plankton.
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62 MOBILE THREAT REPORT - Infopoint Security
https://www.infopoint-security.de/medien/mobile_threat_report_q3_2013.pdf
FakeInst, OpFake, PremiumSms and SmsSend, whose developers keep churning out ... In early April this year, we reported on Pincer[2], an Android malware that ...
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63 Effective Android Malware Detection and Categorization via ...
https://people.cs.vt.edu/~nm8247/publications/haipeng-tifs-2018.pdf
due to the event-driven features of Android, such as lifecycle callbacks and GUI handling, ... FakeInst and OpFake which are known to combine multiple.
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64 CCCS-CIC-AndMal-2020 - University of New Brunswick
https://www.unb.ca/cic/datasets/andmal2020.html
Detecting android malware in smartphones is an essential target for cyber community ... AndroidManifest.xml contains a lot of features that can be used for ...
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65 Exploring the usage of Topic Modeling for Android Malware ...
https://core.ac.uk/download/pdf/84675416.pdf
Opfake. Table I: Android malware families and their features. 0. 0.5. 1. 1.5. ·105. Plankton. Opfake. Kmin. Iconosys. GinMaster. FakeInstaller. FakeDoc.
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66 Android Malware Family Classification Based on Deep ...
http://www.iaeng.org/IJCS/issues_v46/issue_4/IJCS_46_4_03.pdf
utilize such code features of Android malware as opcode ... FakeRun Iconosys Imlog Kmin MobileTx Opfake Plankton SendPay Gappusin.
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67 Eight Years of Rider Measurement in the Android Malware ...
https://seclab.bu.edu/papers/riders-tdsc2020.pdf
the largest measurement of Android malware behavior to date, ... APIs used to access key features of the OS or data within the device.
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68 Android virus fake positive? - BBO Discussion Forums
https://www.bridgebase.com/forums/topic/66047-android-virus-fake-positive/
All of a sudden when I try today to run BBO from my android mobile App I am warned by Avast mobile antivirus that it is infected with Android.OpFake-FE[Trj]
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69 tdsc17_supplementary.pdf - King's Research Portal
https://kclpure.kcl.ac.uk/portal/files/126663102/tdsc17_supplementary.pdf
Although Opfake shares a similar goal as. FakeInstaller (i.e., SMS fraud), in the second row of. Figure 3 we see that its top 5 distinguishing features are.
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70 Hugin: A Scalable Hybrid Android Malware Detection System
https://www.thinkmind.org/download.php?articleid=securware_2017_10_20_30067
Reliable Features: Android malware detection that relies on static features derived from ... families such as FakeInstaller and Opfake are still popular.
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71 Mobile Application For Malware Detection - IRJET
https://www.irjet.net/archives/V2/i2/Irjet-v2i2161.pdf
apples ios supported features like rich mobile ... android.Opfake, android.Obad,. droidDream trojen, android.luckycat, Hippo Walk and. Text android.
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72 Symantec Intelligence Report: May 2012 - Kaspersky
https://media.kasperskycontenthub.com/wp-content/uploads/sites/58/2012/06/21183111/b-intelligence_report_05_2012.en-us.pdf
Opfake is more than just an Android threat. ... threats like Opfake will likely continue to include such features, so long as it.
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73 Identification of Android Malware Families with Model Checking
https://www.scitepress.org/Papers/2016/58092/58092.pdf
Android malware is increasing more and more in complexity. Current signature based antimalware mecha- ... morphic behaviour is represented by Opfake family.
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74 Android Malware Detection Using the Combination of Different ...
https://thesis.cust.edu.pk/UploadedFiles/Computing%20(Main%20File)123.pdf
Moreover, we analyze the source code of the Android application; this approach examines the java code for Android applications. Following Features Sets are ...
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75 Android Malware Clustering Through Malicious Payload Mining
https://www.arguslab.org/documents/yuping_raid17.pdf
ments often constitute only a small fraction of an Android malware sample. In desktop malware clustering, the static or dynamic features are first extracted.
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76 Effective and Explainable Detection of Android Malware in ...
https://www.sec.tu-bs.de/pubs/2014-ndss.pdf
As the limited resources impede monitoring applications at run-time, DREBIN performs a broad static analysis, gathering as many features of an ap- plication as ...
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77 An Evaluation of One-Class Feature Selection and ... - NSF PAR
https://par.nsf.gov/servlets/purl/10156573
tem as the number of Android malware increases rapidly. ... classification model is built with the selected features. During.
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78 Explaining Black-box Android Malware Detection - EURASIP
https://www.eurasip.org/Proceedings/Eusipco/Eusipco2018/papers/1570439445.pdf
for detecting malicious Android applications, reporting impres- sive performances on benchmark datasets, even when trained only on features statically ...
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79 Twitter Used By Malware Developers, Symantec Warns
https://www.silicon.co.uk/workspace/twitter-used-by-malware-developers-symantec-warns-66552
“Users can potentially end up infecting their mobile devices with Android.Opfake by searching for tweets on subjects such as software, ...
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80 Explaining Black-box Android Malware Detection - arXiv Vanity
https://www.arxiv-vanity.com/papers/1803.03544/
Drebin performs a lightweight static analysis of Android applications. The extracted features are used to embed benign and malware apps into a ...
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81 Lightweight, Obfuscation-Resilient Detection and Family ...
https://www.ics.uci.edu/~seal/publications/2017_TOSEM_lightweight.pdf
detecting malicious Android apps and identifying their families. RevealDroid leverages a set of features selected to achieve obfuscation resiliency, ...
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82 Google messaging service hacked, sends malware to Android ...
https://www.rt.com/news/google-messaging-hacked-malware-451/
Kaspersky Lab expert Roman Unuchek said a typical example of such a trap for Android users – dubbed Trojan-SMS.AndroidOS.OpFake.a – has ...
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83 Classification of Android Malware using its Image Sections - DOI
http://dx.doi.org/10.30534/ijatcse/2020/288942020
visualization technique tends to transform Android malware into different image sections. ... features are classified using machine learning algorithms.
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84 A First Look at Android Malware Traffic in First Few Minutes
https://seit.egr.msu.edu/paper/Trustcom15_Yan.pdf
We then present an analysis of related network features: DNS query, HTTP packet length, ratio of downlink to uplink traffic amount, HTTP request and Ad traffic ...
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85 Emulation vs Instrumentation for Android Malware Detection
https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1700&context=etd_projects
we collect features from a corpus of Android malware using both emulation and on-phone instrumentation. We train machine learning models ...
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86 Current Android Malware - forensic blog
https://forensics.spreitzenbarth.de/android-malware/
This malware has similar features to other Android RATs. ... OpFake. The second most common Fraudware. These applications send premium SMS messages.
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87 Gotham Security Daily Threat Alerts
https://www.gothamtg.com/blog/gotham-security-daily-threat-alerts-549
Security researchers in Germany announced that the Android/OpFake and Android/Marry banking trojans targeting mobile devices stored their ...
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88 What are some of the top Android Viruses? - Tutorialspoint
https://www.tutorialspoint.com/what-are-some-of-the-top-android-viruses
KungFu · BlackRock Malware · GinMaster · Android Police Virus · FakeDolphin · FakeInst · ExoBot · OpFake.
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89 A Systematic Review of Android Malware Detection Techniques.
https://go.gale.com/ps/i.do?id=GALE%7CA687005439&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=&p=AONE&sw=w
To detect malware using this technique, reliable detection features are extracted from or through the byte code of the application manifest file. Unlike a ...
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90 Effective and Efficient Behavior-based Android Malware ...
http://docenti.ing.unipi.it/g.dini/research/papers/2016-tdsc-ssdm-accepted.pdf
Index Terms—Android Security, Intrusion Detection System, Malware, ... monitors five groups of Android features, among which ... Opfake. SMS Trojan.
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91 Detecting and Classifying Android Malware Using Static ...
https://journals.sagepub.com/doi/10.1155/2015/479174
In this section, we explain features of Android platform we mainly used in ... For example, SmsSend sample which is another version of OpFake according to ...
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92 MOBILE THREAT REPORT Q4 2012
https://t1.daumcdn.net/cfile/tistory/13016F34513E833B1B?download
Monitoring-Tool:Android/GpsSpyTracker. ... activities using its monitoring and alarm setting features: ... Trojan:Android/OpFake.F.
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93 Disrupting android malware triage by forcing misclassification
http://www0.cs.ucl.ac.uk/staff/D.Clark/pubs/PickingOnTheFamily.pdf
an Android malware classifier that uses various static features ... Opfake. 1. 4.8. 0.9. ACTION_INPUT_METHOD_CHANGED (0.5). Nandrobox.
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94 A mobile malware detection method using behavior features ...
https://www.download-paper.com/wp-content/uploads/2019/11/2018-elsevier-A-mobile-malware-detection-using-behavior-features-in-network-traffic.pdf
The proposed method combines network traffic analysis with machine learning algorithm (C4.5) that is capable of identifying Android malware with high accuracy.
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95 Explaining Black-box Android Malware Detection - PRA Lab
http://pralab.diee.unica.it/sites/default/files/melis18-eusipco-v3.pdf
for detecting malicious Android applications, reporting impres- sive performances on benchmark datasets, even when trained only on features statically ...
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96 Behavioural Characterization of Android Malware to Detect ...
http://nebula.wsimg.com/bd8eb837b07acae3653e185d6a7f401d?AccessKeyId=DFB1BA3CED7E7997D5B1&disposition=0&alloworigin=1
presenting the collection of 100 Android malware samples ... features, smartphones also come with certain security issues ... Opfake. Trojan SMS.
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97 Antivirus applied to JAR malware detection based on runtime ...
https://www.nature.com/articles/s41598-022-05921-5.pdf?origin=ppub
features, our morphological ELM can naturally detect and model the mapping to different ... Android.Opfake.oefcg. Trojan.Java.CVE20113544.cspflc. AegisLab.
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