Wireless and Mobile Network Investigation

Transcription

1 Wireless and Mobile Network Investigation Part II.B. Techniques and Tools: Network Forensics CSF: Forensics Cyber-Security Fall 2015 Nuno Santos

2 Summary } WiFi network investigations } Cellular network investigations 2

3 Remember were we are } Our journey in this course: } Part I: Foundations of digital forensics } Part II: Techniques and tools } A. Computer forensics } B. Network forensics Current focus } C. Forensic data analysis 3

4 Previously: Obtaining evidence from networks } Traffic analysis techniques } Packet and flow analysis } Intrusion detection systems } NetFlow devices } ISPs DPI devices 4

5 Today: Focus on wireless and mobile networks } # wireless (mobile) phone subscribers now exceeds # wired phone subscribers (5-to-1)! } # wireless Internet-connected devices equals # wired Internetconnected devices } laptops, Internet-enabled phones promise anytime untethered Internet access } Two important (but different) challenges } } Wireless: communication over wireless link Mobility: handle mobile user who changes point of attachment to network 5

6 Many wireless network technologies out there } AM/FM radios } Wireless doorbells } Cordless phones } Cell phones } Bluetooth headsets } Infrared devices, such as TV remotes } Zigbee devices, such as HVAC, thermostat, lighting, and electrical controls } Wi-Fi (802.11) LAN networking over RF } WiMAX (802.16) lastmile broadband 6

7 Trend is for wireless-connected devices to grow } Landscape of wireless devices connected to the Internet 7

8 Wireless devices (will) play crucial role in crime } Mobile devices create new opportunities for criminals } While providing valuable sources of evidence 8

9 Why investigate wireless networks? } Recover stolen laptop by tracking it on a wireless network } Identify rogue wireless APs that have been installed by insiders for convenience or to bypass enterprise security } Investigate malicious or inappropriate activity that occurred via a wireless network } Investigate attacks on the wireless network itself, including DoS, encryption cracking, authentication bypass attacks 9

10 Our focus today is on investigating 1. WiFi networks 2. Cellular networks 10

11 WiFi network investigations 11

12 WiFi networks defined and justified } The term Wi-Fi refers to wireless networks as defined by the IEEE standards } We focus on Wi-Fi networks because: } They are ubiquitous } Can use many of our previously discussed forensic techniques 12

13 LAN architecture in infrastructure mode AP 1 Internet hub, switch or router AP 2 } Wireless host communicates with base station Base Station = Access Point (AP) Acts as wireless hub } Basic Service Set (BSS) (aka cell ) in infrastructure mode contains: wireless hosts access point (AP): base station } Often, networks have multiple APs with same SSID 13

14 Wireless traffic capture: What info can be obtained? } Investigators can obtain a great deal of info: } Broadcast SSIDs } Wireless AP MAC addresses } Supported encryption/authentication algorithms } Associated client MAC addresses } In many cases, the full Layer 3+ packet contents } Encrypted Wi-Fi traffic can decrypted offline } As long as we obtain the encryption keys 14

15 It may be challenging to spot wireless traffic 15

16 16

17 Spectrum analysis } For Wi-Fi traffic, the IEEE utilizes 3 frequency ranges: } 2.4 GHz (802.11b/g/n)9 } 3.6 GHz (802.11y) } 5 GHz (802.11a/h/j/n) } Frequency ranges is divided into distinct channels } E.g., the IEEE has specified 14 channels in the 2.4 GHz range } Spectrum analyzers can monitor RF frequencies } E.g., Wi-Spy ($100-$1000) 17

18 Wireless passive evidence acquisition } Need an wireless card in monitor mode } Enable capture all packets, not just those destined for the host } NB: Some restrictions are imposed by the wireless cards; they are not fundamental! } RF waves travel through the air, which is a shared medium } As a result, WLAN traffic cannot be physically segmented } Therefore, all WLAN transmissions may be observed and intercepted by all stations within range 18

19 Tools to collect and analyze traffic } Essentially, we can use the same techniques and tools as we use for wired networks 19

20 Handling common attacks to wireless networks } Often, investigators suspect that a wireless network has been or is currently under attack } Common attacks on wireless networks include: 1. Sniffing } An attacker eavesdrops on the network 2. Rogue wireless APs } Unauthorized wireless devices that extend the local network 3. WEP cracking } Attempts to recover the WEP encryption key and access the network 4. The evil twin attack } An attacker sets up a WAP with the same SSID as a legitimate WLAN 20

21 Representation of an evil twin attack } Possibly detected by a wireless intrusion detection system 21

22 Investigation of wireless access points } A wireless access point (WAP) is a Layer 2 device that aggregates endpoint stations into a LAN } APs may be involved in forensic investigation because } may contain locally stored logs of connection attempts, auth successes and failures, and other local WAP activity } can help track the physical movements of a wireless client throughout a building or campus } their configuration may provide insight regarding how an attacker gained access to the network } their configuration may have been modified by an unauthorized party as part of an attack } they can be compromised 22

23 Locating wireless devices } Can be difficult to physically locate a device of interest } E.g., compromised laptop, a rogue wireless AP } Some strategies for locating wireless devices: 1. Gather station descriptions, such as MAC addresses } Every network card is assigned a unique OUI by the manufacturer 2. For clients, identify the AP that the station is associated with } Using AP logs or traffic monitoring 3. Pool the device s signal strength and triangulate } Use specialized tools such as NetStumbler or Kismet 4. Leverage commercial enterprise wireless mapping software 23

24 Screenshot of Cisco s Wireless Location Appliance } Displays devices located on an enterprise floor map } Allows system administrators to search and sort } Lists stations detected, SSID, signal strength, and more } Known devices are marked with a box, while rogue devices are labeled with a skull 24

25 Cellular network investigations 25

26 cell v covers geographical region v base station (BST) analogous to AP v mobile users attach to network through BST v air-interface: physical and link layer protocol between mobile and BST Components of cellular network architecture MSC v connects cells to wired tel. net. v manages call setup v handles mobility Mobile Switching Center Mobile Switching Center Public telephone network wired network 26

27 Two techniques for sharing mobile-to-bs radio spectrum Cellular networks: The first hop } combined FDMA/TDMA: divide spectrum in frequency channels, divide each channel into time slots time slots frequency bands } CDMA: code division multiple access 27

28 2G (voice) network architecture Base station system (BSS) BTS BSC MSC G Gateway MSC Public telephone network Legend Base transceiver station (BTS) Base station controller (BSC) Mobile Switching Center (MSC) Mobile subscribers 28

29 Main components } Mobile devices connect to a base station (BTS) } Each BTS has at least one radio transceiver that provides radio coverage for a specific geographic region (cell) } GSM uses BSC to control communication between base stations, e.g., coordinates transfer from BTS to another } MSC delivers call and SMSes to mobile devices in its jurisdiction, and coordinates handovers of ongoing communications as devices move between areas 29

30 2.5G (voice+data) network architecture BSC MSC G Gateway MSC Public telephone network Key insight: new cellular data network operates in parallel (except at edge) with existing cellular voice network q voice network unchanged in core q data network operates in parallel SGSN G GGSN Public Internet Serving GPRS Support Node (SGSN) Gateway GPRS Support Node (GGSN) 30

31 All components can be important for investigation } MSCs generate a wealth of useful information } Usage logs and charging detail records } List of mobile devices currently being handled by an MSC } Operation centers maintain and monitor NSPs systems } Info about subscribers, billing details, & services they can use } SMSes to be processed (are retained for limited time) } Voic } Blacklist of devices reported stolen or flagged as bad } Signaling information for call establishment } Devices IMEI numbers 31

32 IMEI are quite valuable for investigators } The International Mobile Equipment Identifier (IMEI) is a unique number associated with a particular device } IMEI can be used to obtain stored data from NSPs } To monitor traffic associated with a particular device } To keep track of a mobile device across NSPs 32

33 Device leaves traces the moment it s turned on } When powered on, the device announces itself to the network, starting the authentication process } The authentication process is based on the IMSI } Identity Mobile Subscriber Identity (IMSI) is a unique # stored on the SIM card and associated with a particular subscriber } IMSI is not directly sent over the network, but replaced with a Temporary Mobile Subscriber Identity (TMSI), which is logged } Investigators can ask NSPs to query their systems for all activities relating to a particular subscriber account 33

34 Investigations of mobile systems } Investigations are supported by dedicated software } Investigator enters all the data available on a subject } The server performs a thorough analysis and outputs info about mobile devices involved, calls made and received } NSP may provide additional historical info or other } E.g., other mobile devices at BTS on a given date and time 34

35 Types of evidence } Localization parameters } Usage logs / billing records } Text / multimedia messages } Voice and data 35

36 Determining the location of mobile devices } Can be important for investigating events in the past } Assessing alibies of suspects } Determining the whereabouts of victims } Can also provide clues for ongoing location tracking in certain cases } E.g., abduction, missing persons, etc. 36

37 Location parameters } Location parameters: info that can be combined to localize an active mobile device and its related user } Determine device s position: There s a timeframe where mobile devices announce themselves to the network } } Turning on a device and leaving it in an idle state generates data on the network that can help determine its location As a device is moved, it updates the network 37

38 Position tracking methods: Cell identification } The mobile device can be reached by looking at the cell to which it is currently connected } There is a range of accuracy } Starts from a few hundred meters in urban areas, up to 32 km in suburban } Accuracy depends on the known range of the particular base station 38

39 Position tracking methods: TDOA } Time difference of arrival (TDOA) aka multilateration } Measures the time it takes for a signal to travel from a device to multiple base stations to estimate the device location } Commonly used in civil and military surveillance applications 39

40 Location tracking supported by adequate tools } Investigators are assisted by specialized tools that collect and analyze location data from the NSP 40

41 Signal jamming } Organized criminal groups often protect their privacy by jamming signals in the area around their meeting place } A mobile device jamming system emits a signal to prevent the use of mobile phones within a certain radius } Prevents mobile devices from linking to the BTS and thus connecting to the network } } This prevents investigators from getting an idea of the geographical location of the meeting Side effect: temporarily interrupts the operation of mobile phones in the area 41

42 Cell phone jammers easily available online 42

43 But jammers may be crucial for the police too } Mobile devices can be remotely activated in any part of the work (e.g., to detonate a bomb) } E.g., by sending a ring or an SMS containing a code } Upon suspicion by the police, mobile devices can be preventively isolated from the network by deploying jamming systems in the vicinity of the devices 43

44 Types of evidence } Localization parameters } Usage logs / billing records } Text / multimedia messages } Voice and data 44

45 Usage logs & billing records } Logs maintained by an NSP can help investigators determine past usage of the phone, as well as communications between individuals } Logs are generated from Call Detail Records (CDRs) maintained for billing purposes: } Telephone number of user } Numbers called } IMEI number of mobile device } Information about the cell } SMS sent (excluding the text) } Date, time, and duration of the calls 45

46 Text & multimedia messages } Advantages of SMS include the ability of transmitting messages even in areas of very low signal coverage } SMS intercepted using same systems for intercepting voice calls } SMS and MMS can be important to an investigation, but they are maintained on core network for limited time } Therefore tend to be captured in transit during an investigation } The structure of intercepted SMS / MMS is straightforward } Sender, receiver, time, date, and content 46

47 Types of evidence } Localization parameters } Usage logs / billing records } Text / multimedia messages } Voice and data 47

48 Interception of evidence on mobile networks } In general, the freedom and privacy of personal communications are inviolable rights that can be compromised only if authorized by judicial authorities } For privacy protection, legal systems dictate limitations to admissibility of interceptions: } Interceptions are allowable only in certain specific crimes } Interceptions must be authorized } Typically, interceptions done in collaboration with NSPs 48

49 How telephone (or data) interception works } The NSP duplicates a suspect s communication line and deviating it to a Monitoring Center (MC) as specified in a warrant by the Judicial Authorities } In principle, the NSP never gains knowledge of the contents of the tapped telephone calls Ongoing call Mobile Switching Center Monitoring Center 49

50 Monitoring systems } Powerful systems with database backends that allow investigators to: } } } } } } } 50 Eavesdrop conversations directly Watch video calls Review and print faxes Display location details Monitor telematic info like and Internet Be notified of call intercept of certain target Search through previously recorded traffic ADACS intelligence collection systems

51 Monitoring systems offer powerful interfaces } Sample screenshot of the ADACS system } ADACS provides law enforcement and intelligence agencies with the ability to collection, monitor, record and analyze switch-based voice, video, and data transmissions 51

52 Advanced features in interception systems } Voice recognition } Central database for storage of recognized voices complete with sample recordings and personal notes } Analysis of target behavior } Predictive target behavior analysis and graphic analysis for interaction among targets 52

53 Alternative approach to interception: IMSI-catcher } IMSI-catcher subjects the phones in its vicinity to a MITM attack, acting to them as a fake base station } Exploits GSM security hole where the network doesn t need to authenticate Normal communication path Intercepted communication path } The FBI adopts this technique using the Stingray IMSI-catcher 53

54 } To prevent eavesdropping and electronic surveillance, use crypto phones Crypto phones } Crypto phones use algorithms to encrypt the voice signals end-to-end } Implement automatic variation of session key } Cryptographic chip handles crypto operations } This represents a limit for investigations, unless encryption can be broken GSMK Cryptophone

55 Conclusions } Wireless and mobile communications represent an increasingly growing amount of network traffic } In particular, WiFi and cellular networks are amongst the most popular technologies used today } Therefore, it is important for digital investigators to be able to collect and analyze evidence from such networks 55

56 References } Primary bibliography } Casey, Handbook of Digital Forensics and Investigations, 2010 [Ch. 10] 56

57 Next class } File carving } Or } Invited talk 57