How to Compromise the Enterprise Endpoint

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Because Symantec uses a filter driver to intercept all system I/O, just emailing a file to a victim or sending them a link to an exploit is enough to trigger it – the victim does not need to open the file or interact with it in anyway. Because no interaction is necessary to exploit it, this is a wormable vulnerability with potentially devastating consequences to Norton and Symantec customers.

An attacker could easily compromise an entire enterprise fleet using a vulnerability like this. Network administrators should keep scenarios like this in mind when deciding to deploy Antivirus, it’s a significant tradeoff in terms of increasing attack surface.

Source: Project Zero: How to Compromise the Enterprise Endpoint

World’s First 1,000-Processor Chip

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Each processor core can run its own small program independently of the others, which is a fundamentally more flexible approach than so-called Single-Instruction-Multiple-Data approaches utilized by processors such as GPUs; the idea is to break an application up into many small pieces, each of which can run in parallel on different processors, enabling high throughput with lower energy use, Baas said.

Because each processor is independently clocked, it can shut itself down to further save energy when not needed, said graduate student Brent Bohnenstiehl, who developed the principal architecture.

Source: World’s First 1,000-Processor Chip | UC Davis

The Ken Thompson Hack

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Ken describes how he injected a virus into a compiler. Not only did his compiler know it was compiling the login function and inject a backdoor, but it also knew when it was compiling itself and injected the backdoor generator into the compiler it was creating. The source code for the compiler thereafter contains no evidence of either virus.

Ken wrote, In demonstrating the possibility of this kind of attack, I picked on the C compiler. I could have picked on any program-handling program such as an assembler, a loader, or even hardware microcode. As the level of program gets lower, these bugs will be harder and harder to detect. A well installed microcode bug will be almost impossible to detect.

Source: The Ken Thompson Hack

Flat lens promises possible revolution in optics

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The lens is quite unlike the curved disks of glass familiar from cameras and binoculars. Instead, it is made of a thin layer of transparent quartz coated in millions of tiny pillars, each just tens of nanometres across and hundreds high.

Singly, each pillar interacts strongly with light. Their combined effect is to slice up a light beam and remould it as the rays pass through the array

Source: Flat lens promises possible revolution in optics – BBC News

“The quality of our images is actually better than with a state-of-the-art objective lens. I think it is no exaggeration to say that this is potentially revolutionary.”

‘Minecraft’ tops 100 million sales

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Much of that success can be attributed to the game’s open structure and limitless potential. Players can build anything they imagine, provided its outward-facing geometry is made up of simple, colorful blocks. The focus on creativity is why so many players, young and old, have been drawn to the game and continue to play years after its release.

Source: ‘Minecraft’ tops 100 million sales

Apart from Tetris, few games have come anywhere close to hitting the 100 million mark.

Presenting Torus: A modern distributed storage system by CoreOS

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The problem of reliable distributed storage is arguably even more historically challenging than distributed consensus. In the algorithms required to implement distributed storage correctly, mistakes can have serious consequences. Data sets in distributed storage systems are often extremely large, and storage errors may propagate alarmingly while remaining difficult to detect. The burgeoning size of this data is also changing the way we create backups, archives, and other fail-safe measures to protect agains

Source: Presenting Torus: A modern distributed storage system by CoreOS

Two-hundred-terabyte maths proof is largest ever

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The puzzle that required the 200-terabyte proof, called the Boolean Pythagorean triples problem, has eluded mathematicians for decades. In the 1980s, Graham offered a prize of US$100 for anyone who could solve it. (He duly presented the cheque to one of the three computer scientists, Marijn Heule of the University of Texas at Austin, earlier this month.) The problem asks whether it is possible to colour each positive integer either red or blue, so that no trio of integers a, b and c that satisfy Pythagoras’ famous equation a2 + b2 = c2 are all the same colour. For example, for the Pythagorean triple 3, 4 and 5, if 3 and 5 were coloured blue, 4 would have to be red.

Source: Two-hundred-terabyte maths proof is largest ever

There are more than 102,300 ways to colour the integers up to 7,825, but the researchers took advantage of symmetries and several techniques from number theory to reduce the total number of possibilities that the computer had to check to just under 1 trillion. It took the team about 2 days running 800 processors in parallel on the University of Texas’s Stampede supercomputer to zip through all the possibilities. The researchers then verified the proof using another computer program.

Fox ‘Stole’ a Game Clip, Used it in Family Guy & DMCA’d the Original

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Whether Fox can do that and legally show the clip in an episode is a matter for the experts to argue but what followed next was patently absurd. Shortly after the Family Guy episode aired, Fox filed a complaint with YouTube and took down the Double Dribble video game clip on copyright grounds. (mirror Daily Motion)

Source: Fox ‘Stole’ a Game Clip, Used it in Family Guy & DMCA’d the Original – TorrentFreak

Google’s Tensor Processing Unit could advance Moore’s Law 7 years into the future

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“We’ve been running TPUs inside our data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning. This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore’s Law),” the blog said. “TPU is tailored to machine learning applications, allowing the chip to be more tolerant of reduced computational precision, which means it requires fewer transistors per operation. Because of this, we can squeeze more operations per second into the silicon, use more sophisticated and powerful machine learning models, and apply these models more quickly, so users get more intelligent results more rapidly.”

Source: Google’s Tensor Processing Unit could advance Moore’s Law 7 years into the future | PCWorld