@lcamtuf "Better," for whom? 'Cause my interests a better served by this, which by design is impossible within the app:
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OK, LinkedIn - but if it is, that's your fault -
Today's story involved a stupid amount of research.@briankrebs Hon. @Paulatics (since you're the only one I've seen here), please give the above a read and forward it to your peers and counterparts.
#cdnnatsec #cdnpoli -
Serious question: Is anyone making a list of where it may be possible to purchase a *new* car that isn't just spyware on wheels?@briankrebs @briankrebs Others have already covered the “no such product exists in the market” answer, so I’ll just throw some wishful thinking into the Ethernet winds and suggest to the #infosec / hacker community that it seems we’ll collectively need to create the @frameworkcomputer of cars. There’s enough knowledge and money among a sufficiently large subset of us, especially if enough late career professionals decide they’d rather not entrust the detailed time-series geolocation of their family to a company which can’t avoid recapitulating the vulnerabilities of the 90s, and to the data brokers to which it sells that data, and to the advertisers and governments and criminal organizations buying from those data brokers.
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Might be my best sleuthing scoop this year (ah still 30+ days to go!):@briankrebs An interesting application of machine learning may be camouflage recognition—analogous to fingerprint or face recognition. The exact alignment of a pattern to fabric pattern pieces per article of clothing or luggage is presumably unique.
It should be possible to exactly match the pants and/or backpack to those issued to exactly one US soldier, as shown in social media or publicity photos.