Network and device forensic analysis of Android social- messaging applica=ons
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1 Network and device forensic analysis of Android social- messaging applica=ons Daniel Walnycky, Ibrahim Baggili, Andrew Marrington, Jason Moore, Frank Brei=nger Graduate Research Assistant, UNHcFREG Member DFRWS, Philadelphia, PA, 2015
2 Agenda Introduc=on Related work Methodology Experimental results Discussion and conclusion Future work Datapp 2
3 Introduc=on Tested 20 Android messaging apps for low hanging fruit a.k.a unencrypted data: on the device, in network traffic, and on server storage Found eviden=ary traces: passwords, screen shots, text, images, videos, audio, GPS loca=on, sketches, profile pictures, and more 3
4 Related work Forensic value of smartphone messages: Smartphones may contain the same rich variety of digital evidence which might be found on a computer system (Lessard & Kessler, 2010) Smartphones and their applica=ons may be involved in a huge variety of criminal cases (Taylor et al., 2012) Smartphone applica=on forensics: As instant messenger programs for PC were ported over to smartphones the forensic community followed (Husain & Sridhar, 2010); (Al Mutawa et al., 2012) WhatsApp device storage analysis reconstructed contact lists and chat logs (Anglano, 2014) 4
5 Related work cont. Apps being targeted for cyber acacks: 1414 vulnerabili=es found in top 50 paid and top 50 free Android apps (Chin et al., 2011) Vulnerabili=es to account hijacking, spoofing, and other acack vectors found on 9 popular messaging apps for Android (Schricwieser et al., 2012) 5
6 Methodology 20 messaging apps from Google Play store based on: Search terms Number of downloads Focused on person to person communica=on Ex. Instagram Direct Feature Users think it s private Signed up for services using the devices prior to data collec=on
7 Network traffic analysis experimental setup HTC One M8 (Android 4.4.2) MiTM: All traffic to and from the Android device is passing through our laptop ipad 2 (ios 7.1.2)
8 Network traffic analysis experimental setup STEP 1: Connect the hosted computer to the internet via Ethernet STEP 2: The Ethernet connec=on was set to share it s internet access with the virtual WiFi mini port adapter STEP 3: Virtual network was setup with the command: netsh wlan set hostednetwork mode=allow ssid=test key= STEP 4: The virtual network was enabled with the command: netsh wlan start hostednetwork STEP 5: We connected to the test network from our target HTC one A video demonstration of this process can be viewed at
9 Network traffic analysis experimental setup Network traffic analysis tools: Device/Tool Use Software/OS Version Laptop Create test network using virtual mini port adapter Windows 7 SP2 One M8 (UNHcFREGdroid) Connected to test network Android IPad 2 (UNHcFREGapple) Connected outside test network ios NetworkMiner Observe live network traffic Wireshark Record live network traffic to pcap file for each app NetWitness Investigator Verify findings/post-analysis from pcap files Network traffic evidence types: Text messages, images, video, audio, GPS loca=on, sketches, and more
10 Device storage analysis experimental setup Device storage analysis tools: Device/Tool Use Software/OS Version Laptop Running analysis software Windows 7 SP2 One M8 (UNHcFREGdroid) Connected to PC through USB Android XRY Logical image creator/viewer Helium Backup Verify findings/create Android backup Android Backup Extractor View Android backup SQLite Database Browser View Sqlite/DB files Device storage evidence types: Chat logs and user creden=als within DB files
11 Experimental results overview Network traffic evidence acquisi=on Device storage evidence acquisi=on Encrypted apps Summary of all evidence recovered
12 3. Text captured 1. Text keywords 2. Text sent/ received
13 2. Images captured 1. Images sent/ received
14 Server storage URL without authentication
15 9 of 20 apps tested had unencrypted user files on applica=on servers Unencrypted user files on application servers 5 of these 9 links s=ll work today
16 Working links to user files on app servers textplus: Oovoo: Instagram: pg Tango: Grindr:
17 TextMe's database.sql with user data in plaintext
18 8 of 20 apps tested had at least unencrypted chat logs in DB files TextMe and Nimbuzz had passwords in plain text textplus took and stored screenshots of user ac=vity Unencrypted chat logs/user credentials in App DB files Application Location of user data on Android device textplus com.gogii.textplus.ab/textplus.db Nimbuzz com.nimbuzz.ab/nimbuzz.db TextMe com.textmeinc.textme.ab/database.sql MeetMe com.myyearbook.m.ab/chats.db Kik kik.android.ab/kikdatabase.db oovoo com.oovoo.ab/core.db HeyWire com.mediafriends.chime.ab/hwprovider.db Hike com.bsb.hike.ab/chats.db
19 Experimental results Applications tested with no evidence recovered Applications Capabilities Performed Activity Encrypted Network Traffic, Data Emphasized Security Storage, and Server Storage Tinder Text Sent/Received text Yes No Wickr Text and image Sent/Received text Yes Yes sharing Sent/Received image Snapchat Text, image, and video sharing Sent/Received text Sent/Received image Yes No BBM Text and image sharing Sent/Received video Sent/Received text Sent/Received image Encryp=on in network traffic = HTTPS/SSL Encryp=on in data storage = Obfuscated database content Yes No Only app to mention security as a feature
20 Apps tested/activity performed in order listed Evidence recovered Applications Capabilities Performed Activity Network Traffic Traces Server Traces WhatsApp Text, image, video, audio, Sent/received text Contact card (sent), (2.11) location, and contact card sharing location (sent) Sent/received video Sent/received audio Sent/received GPS location Sent contact card Viber ( ) Instagram (6.3.1) Okcupid (3.4.6) oovoo (2.2.1) Tango ( ) Kik (7.3.0) Nimbuzz (3.1.1) Text, image, video, audio, sketch, and location sharing + voice calling Image and video sharing Text and image sharing Text, image, and video sharing + voice/video calling Text, image, video, and audio sharing + voice/video call Text, image, video, and sketch sharing Text, image, video, audio, and location sharing + voice calling Sent/received text Sent/received video Sent/received audio Sent/received sketch Sent/received GPS location Received voice call Sent/received video Sent/received text Sent/received text Sent/received video Sent/received text Sent/received video Sent/received audio Sent/received text Sent/received video Sent/received sketch Sent/received text Sent/received GPS location Sent/received video Sent/received audio Images (received), video (received), sketches (received), location (sent/received) Images (sent/received) Text (sent) Text (sent/received), images (sent/received) Images (sent/received), video (sent) Sketches (sent) Images (sent/received), location (sent), video (sent) Images, video, sketches Images Images Videos Data Storage Traces Chat log Chat log Plain text password, chat log
21 MeetMe (8.6.1) MessageMe (1.7.3) TextMe (2.5.2) Grindr (2.1.1) HeyWire (4.5.10) Hike (3.1.0) textplus (5.9.8) Facebook Messenger ( ) Text and image sharing Text, image, video, audio, sketch, and location sharing Text, image, video, location, and file sharing + voice/video calling Text, image, and location sharing Text, image, audio, and location sharing + voice calling Text, image, video, audio, location, and V-Card sharing + voice calling Text, image, and audio sharing + voice calling Text, image, video, audio, location, and stickers sharing + voice calling Sent/received text Sent/received text Sent/received sketch Sent/received GPS location Sent/received video Sent/received audio Sent/received text Sent Dropbox file Sent/received video Sent/received GPS location Sent/received text Sent/received GPS location Sent/received text Sent/received GPS location Sent/received audio Sent/received text Sent/received GPS location Sent/received video Sent/received audio Sent contact card Sent/received text Sent/received audio Sent/received text Sent/received video Sent/received audio Sent/received GPS location Sent/received stickers Text (sent/received) Text (sent/received), images (sent/received), sketches (received), location (sent/received), video (sent), audio (sent) Images (received), location (sent/received) Images (sent) Images (received), location (sent) Location (sent) Videos Images Images A video demonstration of these findings can be viewed at Chat log Plain text password, chat log Chat log Chat log Images (sent/received) Images App taken screenshot, chat log Images (sent/received), video thumbnails (received) Images, video thumbnails
22 Discussion Impact of findings: With access to an app user s phone, passwords are poten=ally obtainable with db files. With users connected to a rogue access point, large volumes of user data can be captured by an actor. App developers were no=fied of all security issues found: No one responded at first L Some responded when we released our results publically
23 Conclusion A lot of these applica=ons are s=ll unsecure, and it s 2015 This research was done from a forensics perspec=ve, but it opens the door to privacy issues. Users should: Connect to trusted networks + update and test apps Inves8gators should: Explore the poten=al of network forensics for evidence acquisi=on
24 Future Work Analyze calling features/undocumented network protocols Karpíšek, Baggili, and Brei=nger s WhatsApp call protocol analysis Use advanced forensic techniques to pull more data Such as SSL intercep=on, binary checking, and memory analysis Expand research into more apps for Android, ios, and other plaqorms AND con=nuously test applica=ons as they are updated *Cough*Cough* DatApp
25 1 2 3 Created by UNHcFREG researchers Roberto Meija and Kyle Anthony.
26 Datapp is available for download from our website ( under Data & Tools.
27 [1] Ashby v Commonwealth of Australia (No 4) [2012] FCA 1411 [2] S v Oscar Pistorius (CC113/2013) [2014] ZAGPPHC 793 (12 September 2014) [3] J. Lessard and G. C. Kessler, Android Forensics: Simplifying Cell Phone Examinations, Small Scale Digit. Device Forensics J., vol. 4, no. 1, [4] M. Taylor, G. Hughes, J. Haggerty, D. Gresty, and P. Almond, Digital evidence from mobile telephone applications, Comput. Law Secur. Rev., vol. 28, no. 3, pp , [5] S. Y. Willassen, Forensics and the GSM mobile telephone system, Int. J. Digit. Evid., vol. 2, no. 1, [6] M. Husain and R. Sridhar, iforensics: forensic analysis of instant messaging on smart phones, Digit. forensics cyber crime, vol. 31, pp. 9 18, [7] K. Barmpatsalou, D. Damopoulos, G. Kambourakis, and V. Katos, A critical review of 7 years of Mobile Device Forensics, Digit. Investig., vol. 10, no. 4, pp , [8] T. Vidas, C. Zhang, and N. Christin, Toward a general collection methodology for Android devices, Digit. Investig., vol. 8, pp. S14 S24, Aug [9] N. Al Mutawa, I. Baggili, and A. Marrington, Forensic analysis of social networking applications on mobile devices, Digit. Investig., vol. 9, pp. S24 S33, Aug [10] J. Grover, Android forensics: Automated data collection and reporting from a mobile device, in Digital Investigation, 2013, vol. 10, pp. S12 S20. [11] J. Reust, Case study: AOL instant messenger trace evidence, Digit. Investig., vol. 3, no. 4, pp , [12] M. Dickson, An examination into AOL Instant Messenger 5.5 contact identification, Digit. Investig., vol. 3, no. 4, pp , [13] M. Dickson, An examination into Yahoo Messenger 7.0 contact identification, Digit. Investig., vol. 3, no. 3, pp , [14] M. Dickson, An examination into MSN Messenger 7.5 contact identification, Digit. Investig., vol. 3, no. 2, pp , [15] M. Dickson, An examination into Trillian basic 3.x contact identification, Digit. Investig., vol. 4, no. 1, pp , [16] M. Kiley, S. Dankner, and M. Rogers, Forensic Analysis of Volatile Instant Messaging, in Advances in Digital Forensics IV, vol. 285, Boston: Springer, 2008, pp [17] N. Al Mutawa, I. Al Awadhi, I. Baggili, and A. Marrington, Forensic artifacts of Facebook s instant messaging service, in Internet Technology and Secured Transactions (ICITST), 2011 International Conference for, 2011, pp [18] C. Anglano, Forensic analysis of WhatsApp Messenger on Android smartphones, Digit. Investig., vol. 11, no. 3, pp. 1 13, [19] D. Damopoulos, G. Kambourakis, M. Anagnostopoulos, S. Gritzalis, and J. H. Park, User privacy and modern mobile services: Are they on the same path?, Pers. Ubiquitous Comput., vol. 17, pp , [20] E. Chin, A. Felt, K. Greenwood, and D. Wagner, Analyzing inter-application communication in Android, Proc. 9th, pp , [21] S. Schrittwieser, P. Frühwirt, P. Kieseberg, M. Leithner, M. Mulazzani, M. Huber, and E. Weippl, Guess who s texting you? evaluating the security of smartphone messaging applications, Proc. 19th Annu. Symp. Netw. Distrib. Syst. Secur., p. 9,
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