reconstructing web pages from browser cache
play

Reconstructing web pages from browser cache Iwan Hoogendoorn & - PowerPoint PPT Presentation

Reconstructing web pages from browser cache Iwan Hoogendoorn & Edwin Schaap University of Amsterdam July 4, 2013 1 Demo I Open Safari Clear Safaris cache Visit www.tweakers.net 2 Criminal research planning a crime committing the


  1. Reconstructing web pages from browser cache Iwan Hoogendoorn & Edwin Schaap University of Amsterdam July 4, 2013 1

  2. Demo I Open Safari Clear Safari’s cache Visit www.tweakers.net 2

  3. Criminal research planning a crime committing the perfect crime Internet used as a resource 3

  4. Evidence by a witness looking at content that is against the law content is removed by a suspect in a later stage Internet used as a resource 4

  5. Forensic crime investigation computer forensics browser forensics web cache data forensics 5

  6. Research question In what ways can one visually reconstruct websites with information retrieved from normalized browser caches that can be use for computer forensic examiners to build a case? Raw caching data Reconstruction methods Reliability after reconstruction 6

  7. Current forensic web cache tools Nirsoft Web Cache View Digital Detective Siquest Foxten Software 7

  8. Netherlands Forensic Institute Tools XIRAF HANSKEN Traces 8

  9. Popular web browsers Figure 1 : Browser popularity - Worldwide 9

  10. Web cache data structure - Google Chrome index Header … … hash table … … Cache (meta) data data_0 data_1 data_2 data_3 data_4 block files Figure 2 : Chrome web cache structure 10

  11. Web cache data structure - Mozilla Firefox _CACHE_MAP_ Header 256 records … 32 buckets … … … Cache (meta) data _CACHE_001_ _CACHE_002_ _CACHE_003_ Figure 3 : Firefox web cache structure 11

  12. Web cache data structure - Apple Safari cfurl_cache_response PK entry_ID version hash_value storage_policy request_key time_stamp cfurl_cache_blob_data cfurl_cache_receiver_data PK,FK1 entry_ID PK,FK1 entry_ID response_object receiver_data request_object proto_props user_info Figure 4 : Safari web cache structure 12

  13. Web cache data - before sanitazion Chrome Firefox Safari Unique identification � � � Eviction X � � URL request string � � � Time/Date (first request) � � � Time/Date (last request) X X � Time/Date (expire) X X � Fetch count X X � Client request headers X X � Server response header � � � Server response body � � � Table 1 : Firefox, Chrome and Safari web cache comparison table 13

  14. Traces - normalised cache data Unique identification URL request string Time/Date (first request) Server response body 14

  15. Web page reconstruction methods - I pre-processing post-processing 15

  16. Web page reconstruction methods - II Pre-processing Advantages: Requires no configuration of the rendering browser. 1 Can even run in the browser of the user enabling interaction. 2 Disadvantages: Tampering the evidence. 1 Hard to parse all resource identifiers, especially if JavaScript is 2 used. Non-parsed resource identifiers are circumventing the 3 application. 16

  17. Web page reconstruction methods - III Post-processing Advantages: All resource identifiers are captured by the proxy. 1 Disadvantages: Requires proxy configuration of rendering browser. 1 SSL traffic is hard to deal with. 2 17

  18. Proof of Concept Proof of Concept 18

  19. Application design Application Cache Proxy Traces Rendering browser Frontend User's Browser Figure 5 : Web page reconstruction application 19

  20. Demo II Reconstruct web page visited at the beginning of this presentation Compare before and after 20

  21. Result - Simple websites I Reconstructed Original 21

  22. Result - Simple websites II NetAnalysis Original 22

  23. Result - complex websites I Original Reconstructed 23

  24. Result - complex websites II Original NetAnalysis 24

  25. Analysis - Dynamic resources 1 Browser S displays website W1 resources W1 on time A. W2 2 Website W1 contains R time A B resource R. 3 Browser S displays website W2 on time B. 25

  26. Analysis - Runtime dependencies 1 Browser S visits website W. 2 Website W contains a dynamic time T. 3 Time T is taken from the local system time. 26

  27. Conclusion Prefer post-processing Normalized data is sufficient Reliability depends on cache data 27

  28. Thank you ? 28

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend