Facebook blog exposes security risk

FBHive, a blog devoted to the discussion of all things Facebook, has debuted with the revelation that its creators have discovered a hack that can expose some crucial profile data, states cnet.

No, it won't expose your personal photos or wall posts. But, FBHive says, it can bring up all the "basic information" that you have entered into your profile, even if you've elected to keep that information private.

This is the section that includes location, gender, relationship status, relationships, political views, religious views, birthday and hometown.

Sun Microsystems has unveiled its Java Store, a distribution channel for developers to directly connect with the more than 800 million desktop Java technology users, states eWeek.

The Java Store is a consumer-facing storefront for the discovery and purchase of Java and JavaFX applications.

Sun is aiming high with the Java Store, which it released as a beta for developers at JavaOne.

Some 2 500 cash machines across the UK will be turned into WiFi hotspots under a deal between ATM operator Cashbox and BT, says Computing.co.uk.

The five-year contract will initially see 10 cash points benefiting from the technology, which will be extended across sites in London, Manchester, Glasgow and Cardiff.

Some 4.8 million BT broadband clients with inclusive WiFi minutes will be able to use the service, as will users of BT Openzone roaming partners and O2 iPhone customers.

Google is adding the ability for users to search photos of more than 50 000 landmarks, such as the Golden Gate Bridge, the Eiffel Tower and other special constructions around the world, reports eWeek.

Though still in a proof-of-concept stage, the project makes use of 40 million GPS-tagged landmark photos from Google's Picasa and Panoramio and tour guide Web pages.

Jay Yagnik, head of computer vision research at Google, noted in a blog post, “next, we found candidate images for each landmark using these sources and Google Image Search, which we then 'pruned' using efficient image matching and unsupervised clustering techniques. Finally, we developed a highly efficient indexing system for fast image recognition.”