DDoS attacks via WordPress now come with encryption

Kaspersky Lab experts have noted an emerging trend – a growth in the number of attacks using encryption. Such attacks are highly effective due to the difficulty in identifying them among the overall flow of clean requests. Recently, the company encountered yet more evidence of this trend – an attack exploiting vulnerabilities in WordPress via an encrypted channel.

Read more on Help Net Security

China targets aviation industry to spy and steal secrets

Chinese hackers are targeting aviation systems in the quest for information and intellectual property which will boost the country’s competitiveness, security researchers say. Cyberattacks against the aviation industry are nothing new, but with the inclusion of Internet-capable devices at the basic level of embedded devices to in-flight Wi-Fi and connected aviation systems, there are more avenues than ever that threat actors can exploit.

Read more on ZDNet

The rise of TeleBots: Analyzing disruptive KillDisk attacks

In the second half of 2016, ESET researchers identified a unique malicious toolset that was used in targeted cyberattacks against high-value targets in the Ukrainian financial sector. The authors at We Live Security believe that the main goal of attackers using these tools is cybersabotage. This blog post outlines the details about the campaign that we discovered.

Read the article on We Live Security

Hacker Claims Theft of Thousands of Passport Numbers from Russian Consulate

A hacker claims to have stolen thousands of passport numbers and other pieces of personal information from the website of a Russian consular department.The hacker, who calls himself Kapustkiy, plans to publish around a thousand records out of the 30,000 or so he allegedly obtained. The apparent target was ambru.nl, the website for the Consular Department of the Embassy of the Russian Federation in the Netherlands.

Read more on Motherboard

7,500 Faceless Coders Paid In Bitcoin Built A Hedge Fund’s Brain

Richard Craib is a 29-year-old South African who runs a hedge fund in San Francisco. Or rather, he doesn’t run it. He leaves that to an artificially intelligent system built by several thousand data scientists whose names he doesn’t know. Under the banner of a startup called Numerai, Craib and his team have built technology that masks the fund’s trading data before sharing it with a vast community of anonymous data scientists. Using a method similar to homomorphic encryption, this tech works to ensure that the scientists can’t see the details of the company’s proprietary trades, but also organizes the data so that these scientists can build machine learning models that analyze it and, in theory, learn better ways of trading financial securities.

Full article on Wired