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    Princeton Web Policy

    webpolicy.org · Publication · on HN since 2012

    Princeton's web policy blog, with work by Jonathan Mayer and others, covers tracking, cookies, ad injection, crypto policy, and phone metadata.

    Visit blogHN submissions
    Privacy & PolicySecurityWeb Development
    What HN says

    HN commenters link it as original research, including Safari cookie tracking and Verizon's zombie cookie, and object when others copy its analysis.

    Stats for nerds
    34HN people shared it
    25linked in comments
    778story points
    May 2024last shared
    2013people per year2024

    Top posts on HN

    1. 1
      In memory of Aaron, bulk XML of every federal and state law and court ruling
      1 person · 284 points · first shared 2014 · 55 comments on HN
    2. 2
      AT&T Hotspots: Now with Advertising Injection
      3 people · 150 points · first shared 2015 · 84 comments on HN
    3. 3
      How Verizon's Advertising Header Works
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    4. 4
      A Funny Thing Happened on the Way to Coursera
      2 people · 124 points · first shared 2014 · 32 comments on HN
    5. 5
      Crypto Backdoors Wouldn't Work
      4 people · 18 points · first shared 2015 · 1 comments on HN
    6. 6
      Is Instacart (YC S12) Deceptive?
      3 people · 14 points · first shared 2014 · 1 comments on HN
    7. 7
      The Turn-Verizon Zombie Cookie
      4 people · 12 points · first shared 2015 · Discussion on HN
    8. 8
      Setting the Record Straight on Google’s Safari Tracking
      2 people · 8 points · first shared 2012 · 1 comments on HN
    9. 9
      Stanford researchers find diseases, guns, religion, and more in phone metadata
      3 people · 5 points · first shared 2014 · Discussion on HN
    10. 10
      The New Firefox Cookie Policy
      2 people · 4 points · first shared 2013 · Discussion on HN

    What HN people wrote when they linked it

    • x0x0Jan 2015

      quantcast was sued for resuscitating browser cookies when flash LSOs persisted [1], ie taking the cookie value from the LSO and recookie-ing the browser. quantcast and clearspring settled for $2.5m [2]. The crux of the matter seemed to be that users didn't know such data was in flash cookies or associated with quantcast, making it hard to opt-out, though I'm not sure if this is illegal; and violated quantcast and the 3rd party sites' privacy agreements, which appears to be illegal. A lawsuit outline for one plaintiff is here [3] and the full text of the initial filing here [4]. I naively assume there is a clear parallel to this case, though perhaps verizon and turn have thoroughly privacy policied their way out, somewhere in 30 pages of legalese.

      According to Jonathan Mayer,

      Commercial supercookies, fingerprinting, and zombie cookies are tolerated
      (if not permitted) under current United States law. [...] Any associated
      consumer deception, however, is a violation of the Federal Trade Commission
      Act and parallel state statutes. [5]

      [1] http://www.wired.com/2010/07/zombie-cookies-lawsuit/

      [2] http://www.lexology.com/library/detail.aspx?g=bc3a4358-6692-4c82-94b5-6a1a160bbaaf

      [3] https://www.privaworks.com/Details/AlertReference/PrintPreview.aspx?guid=%7Bb7a1afcf-7795-4138-9401-27272896f095%7D&p=1

      [4] http://www.wired.com/images_blogs/threatlevel/2010/07/CV10-5484-GW-JCGx-Complaint-Summons-Civil-Case-Cover-Sheet1.pdf

      [5]…

    • mschuster91May 2024

      > The proper course of action in this case is to use your 4G/5G connection and not to connect to shady networks you don't trust.

      Sadly, there are carriers on this planet who think it's a good idea to charge ridiculous prices for mobile data (Germany) or to block hotspot functionality unless you pay up (US, see [1] for the technical background - both Apple and Google are complicit). In a world where politicians would care about their people, there would be no need for wifi hotspots to exist in the first place.

      Additionally, there are certain advertising brokers such as utiq that cooperate with major phone networks to provide detailed tracking, so they and advertisers know pretty precisely who you are just because you tethered your laptop to your phone.

      And finally, you can't trust your phone ISP either - Verizon got caught red-handed injecting tracking "supercookies" into their customers' traffic [2], thank God at least that vector got closed with everyone and their dog going HTTPS.

      In general: anything involving residential ISPs is rife with scams.

      [1] https://news.ycombinator.com/item?id=20460438

      [2] http://webpolicy.org/2014/10/24/how-verizons-advertising-header-works/

    • lalawyer14Oct 2014

      Google deserves plenty of credit for Scholar. It's the best public legal research system out there.

      Let's not pretend, though, that Google Scholar has "set free" court opinions or offers "open access." You're trapped in Google's ecosystem. You can't download opinions in bulk for any reason, whether it's legal practice or academic analysis. You certainly can't build your own legal research system.

      The best "open access" resource I've found, oddly enough, is bulk XML from a Stanford grad student. It includes over 10 million documents in a fairly standard format.

      http://webpolicy.org/2012/12/28/advancing-empirical-legal-scholarship/

      http://webpolicy.org/2013/12/29/advancing-empirical-legal-scholarship-state-materials/

      http://webpolicy.org/2013/05/03/advancing-empirical-legal-scholarship-federal-appellate-opinions-and-rules/

      Also, it appears to be replicated on Carl Malamud's public.resource.org.

      https://law.resource.org/pub/us/case/federal/

      https://law.resource.org/pub/us/case/state/

    • NSA_ResearchDec 2013

      The reporting on our work has been of mixed quality. Check out our actual blog-post here: http://webpolicy.org/2013/12/23/metaphone-the-nsas-got-your-number/?utm_source=rss&utm_medium=rss&utm_campaign=metaphone-the-nsas-got-your-number for more accurate details.

      We used data collected from voluntary users' phone logs as our phone number data set. This means that if Joe called number X a few weeks ago and then decided to participate in our study, number X was in our database. We then used a couple techniques too see how well we could identify who number X belonged to.

      We didn't put together actual profiles of users, though that is a possible next step. However, I think it is clear that putting together profiles of users is possible given how easy it is to identify who you are calling and receiving calls from.

    • schoenFeb 2017

      Machine learning just on text message metadata can probably be surprisingly accurate on classifying relationships and situations like friend, lover, employee, breakup, drug dealer, prostitute.

      Compare

      https://www.theguardian.com/technology/2014/mar/13/phone-call-metadata-does-betray-sensitive-details-about-your-life-study

      which included some manual analysis and use of telephone directories and some automated analysis. (Their data set was tiny and derived from opt-in contributions.)

      http://webpolicy.org/2014/03/12/metaphone-the-sensitivity-of-telephone-metadata/

      I'm still hoping to see, and maybe help bring about, better technical and legal protections for communications in my lifetime, or at least better technical protections.

    • niftichMay 2018

      In one of the major announcements for Chrome, 'Moving towards a more secure web' (2016-09-08) [1], the Chrome Security Team writes:

      "Chrome currently indicates HTTP connections with a neutral indicator. This doesn't reflect the true lack of security for HTTP connections. When you load a website over HTTP, someone else on the network can look at or modify the site before it gets to you."

      The word 'modify' is a hyperlink to an article titled 'AT&T Hotspots: Now with Advertising Injection' [2] (ironically, a non-HTTPS site).

      [1] https://security.googleblog.com/2016/09/moving-towards-more-secure-web.html [2] http://webpolicy.org/2015/08/25/att-hotspots-now-with-advertising-injection/

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