An anonymous reader writes: Researchers have discovered that improperly configured TFTP servers can be easily abused to carry out reflection DDoS attacks that can sometimes have an amplification factor of 60, one of the highest such values. There are currently around 600, 000 TFTP servers exposed online, presenting a huge attack surface for DDoS malware developers. Other protocols recently discovered as susceptible to reflection DDoS attacks include DNSSEC, NetBIOS, and some of the BitTorrent protocols. Read more of this story at Slashdot.
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600,000 TFTP Servers Can Be Abused For Reflection DDoS Attacks
schwit1 writes: Here’s a tricky task. Pick a photograph from the web at random. Now try to work out where it was taken using only the image itself. If the image shows a famous building or landmark, such as the Eiffel Tower or Niagara Falls, the task is straightforward. But the job becomes significantly harder when the image lacks specific location cues or is taken indoors or shows a pet or food or some other detail. Nevertheless, humans are surprisingly good at this task. To help, they bring to bear all kinds of knowledge about the world such as the type and language of signs on display, the types of vegetation, architectural styles, the direction of traffic, and so on. Humans spend a lifetime picking up these kinds of geolocation cues. So it’s easy to think that machines would struggle with this task. And indeed, they have. Today, that changes thanks to the work of Tobias Weyand, a computer vision specialist at Google, and a couple of pals. These guys have trained a deep-learning machine to work out the location of almost any photo using only the pixels it contains. Read more of this story at Slashdot.