Privacy Analysis for the Casual User through Bugnosis - PowerPoint PPT Presentation

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Privacy Analysis for the Casual User through Bugnosis

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Title: Privacy Analysis for the Casual User through Bugnosis


1
Privacy Analysis for the Casual User through
Bugnosis
  • David Martindm_at_cs.uml.eduJoint work with Adil
    Alsaid Funded by Privacy Foundation

2
What are E-mail and the Web like?
  • Postal mail
  • Cable TV
  • Library
  • Telephone
  • Newspaper
  • Video game
  • Theyre found in an office
  • Theyre found in a room at home

3
Overarching Goal
  • Help align user privacy expectations with reality
  • The obvious tactics
  • Teach the users what its really like out there,
    or
  • Transform the wilderness into what it should be

4
Web tracking summary
ual.com
Request receive main HTML page
Request receive embedded element(such as an
image)while reporting referrer information
dm.cs.uml.edu
doubleclick.net(3rd party)
5
Cookie sharingthreat
ual.com
buy.com
berklee.edu
  • A 3rd party content provider could track a user
    across all sites served by it (usually via an
    identifying cookie)
  • Some indications of interest in doing this from
    Internet advertising folks
  • Threat led to fierce opt-in/opt-out debates and
    lots of cookie-management software
  • And P3P, naturally

6
Web bugs
  • A bug is a hidden eavesdropping device
  • Vague definition A Web bug is an HTML element
    that is
  • present for surveillance purposes,
  • and is intended to go unnoticed by users

7
Our definition
  • A Bugnosis Web bug
  • is an image
  • is too small to see (
  • is third party to the main page (approx. RFC2965)
  • has a third party cookie
  • only appears once on page
  • Some other characteristics are used for secondary
    sorting purposes

8
Getting the word out
  • We knew there were a lot of Web bugs out there
    (from direct HTML inspection, and a later
    quantitative study)
  • Web bugs vs cookie sharing threat
  • Web bugs harder to thoroughly explain
  • But have an easier take-home message This is
    evidence that someone is intentionally noting
    your visit
  • Still very hard to identify purpose of tracking

9
Bugnosis the tool
  • Most important user interface decision the
    audience would be journalists
  • So we needed
  • easy install/uninstall
  • reasonable default behavior
  • zero configuration
  • attention-grabbing runtime
  • a bit of gobbledygook is OK
  • Didnt need
  • web bug blocking behavior
  • browser support other than Internet Explorer

10
Bugnosis demo
  • Altace for cardiovascular risks
  • MSNBC Cybercrime article
  • use of JavaScript latitude longitude
  • Google search best music portsmouth NH
  • referrer
  • Mycomputer.com's privacy policy
  • full probe, old junk in cookie, https
  • NY Times Movies pages
  • thrilling cookie

11
Bugnosis details
  • Proxy model(not used in Bugnosis)

www.ual.com
United
LocalProxy
United
12
Bugnosis details
  • Document Object Model /Browser Helper Object

United
DocumentComplete
www.ual.com
width document.imgs0.widthdocument.imgs0.
src bug.gif
BHO
13
Bugnosis details
  • Advantages of BHO over proxy
  • accuracy no need to reparse HTML
  • image attributes healthology
  • sensing in spite of SSL encryption
  • Disadvantages
  • tightly coded to browser
  • interactive

14
Successes and Failures
  • Success graphic identity gave it a legitimacy
    thats otherwise unobtainable
  • Success sufficiently in-your-face
  • Success ability to remotely white-list sites
  • Failure before Success original drive-by
    ActiveX installation
  • Failure no P3P integration
  • Failure insufficient tech support structure
  • Failure no HTML email support

15
Bugnosis for Email
  • Web bugs in email they know who you are!
  • Thoroughly breaks expectations
  • Trend is clearly away from 3rd party image
    support in HTML email readers
  • Yet in past 12 months weve seen Web bugs in
    emails from Pfizer, Proctor Gamble, Roche,
    Orthobiotech, RJ Reynolds, GlaxoSmithKline,
    Experian (for Pernod Ricard)

16
Conclusion
  • Designing for journalists meant designing for the
    masses
  • Get Bugnosis from www.bugnosis.org (Windows IE
    only)
  • BTW, 3 spots in my car

17
Quantifying the amount of tracking
  • The FTC samples from 2000 report Privacy
    Online
  • Of 91 popular sites, 84 remained in 2001
  • Of 335 random (consumer-oriented) sites, 298
    remained
  • Searched 100 pages on each site for Web bugs clicks from home

18
Results
  • Popular sample
  • 84 sites 58 contained 1 bug
  • 29 of sites with bugs did not disclose them
  • 7,507 pages 10 contained 1 bug
  • Random sample
  • 298 sites 36 contained 1 bug
  • 25,263 pages 10 contained 1 bug
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