At least five Russian major banks came under a continuous hacker attack, although online client services were not disrupted. The attack came from a wide-scale botnet involving at least 24,000 computers, located in 30 countries.

The attack began Tuesday afternoon, and continued for two days straight, according to a source close to Russia’s Central Bank quoted by RIA Novosti. Sberbank confirmed the DDoS attack on its online services.

“The attacks are conducted from botnets, consisting of tens of thousands computers, which are located in tens of countries,” Sberbank’s press service told RIA.

The initial attack was rather massive and its power intensified over the course of the day.

Source: 5 major Russian banks repel massive DDoS attack — RT News

By using the interference patterns with wifi, you can collect information and detect with 68.9% accuracy what people are typing. The accuracy goes up as you collect more data.

Source: Your body reveals your password by interfering with Wi-Fi

In this paper we describe a new type of threat in which adjacent IoT devices will infect each other with a worm that will spread explosively over large areas in a kind of nuclear chain reaction, provided that the density of compatible IoT devices exceeds a certain critical mass. In particular, we developed and verified such an infection using the popular Philips Hue smart lamps as a platform.
The worm spreads by jumping directly from one lamp to its neighbors, using only their built-in ZigBee wireless connectivity and their physical proximity. The attack can start by plugging in a single infected bulb anywhere in the city, and then catastrophically spread everywhere within minutes, enabling the attacker to turn all the city lights on or off, permanently brick them, or exploit them in a massive DDOS attack.
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To make such an attack possible, we had to find a way to remotely yank already installed lamps from their current networks, and to perform over-the-air firmware updates. We overcame the first problem by discovering and exploiting a major bug in the implementation of the Touchlink part of the ZigBee Light Link protocol, which is supposed to stop such attempts with a proximity test. To solve the second problem, we developed a new version of a side channel attack to extract the global AES-CCM key that Philips uses to encrypt and authenticate new firmware. We used only readily available equipment costing a few hundred dollars, and managed to find this key without seeing any actual updates.

Source: IoT Goes Nuclear – Creating a ZigBee Chain Reaction

As explained in a paper titled A Formal Security Analysis of the Signal Messaging Protocol (PDF) from the International Association for Cryptologic Research, Signal has no discernible flaws and offers a well-designed and compromise-resistant architecture.

Signal uses a double rachet algorithm that employs ephemeral key exchanges continually during each session, minimising the amount of text that can be decrypted at any point should a key be compromised.

Signal was examined by a team of five researchers from the UK, Australia, and Canada, namely Oxford University information security Professor Cas Cremers and his PhDs Katriel Cohn-Gordon and Luke Garratt, Queensland University of Technology PhD Benjamin Dowling, and McMaster University Assistant Professor Douglas Stebila.
[…]
The team finds some room for improvement which they passed on to the app’s developers, namely that the protocol can be further strengthened with negligible cost by using “constructions in the spirit of the NAXOS (authenticated key exchange) protocol” [PDF]” by or including a static-static Diffie-Hellman shared secret in the key derivation. This would solve the risk of attackers compromising communications should the random number generator become fully predictable.

The paper does, however, cover only a subsection of Signal’s efforts, as it ignores non-Signal library components, plus application and implementation variations. It should therefore be considered a substantial starting point for future analysis, the authors say, rather than the final world on Signal.

Source: ‘Trust it’: Results of Signal’s first formal crypto analysis are in

Cisco has fixed a vulnerability in its Professional Careers portal that may have exposed truckloads of personal information.

The networking giant has sent an email to affected users in which it says a “limited set of job application related information” was leaked from the mobile version of the website, blaming an “incorrect security setting” placed after system maintenance on a third party site.
[…]
It says exposed data may have included real and login names; passwords; physical and email addresses, phone numbers; answers to security questions; users’ education and professions; cover letters and resumes.

Any hacker hoovering up that data would have also gained applicants’ voluntary information including gender, race, and veteran and disability status, and disability.

Source: Cisco’s job applications site leaked personal data

Linux/IRCTelnet, as the underlying malware has been named, borrows code from several existing malicious IoT applications. Most notably, it lifts entire sections of source code from Aidra, one of the earliest known IoT bot packages. Aidra was discovered infecting more than 30,000 embedded Linux devices in an audacious and ethically questionable research project that infected more than 420,000 Internet-connected devices in an attempt to measure the security of the global network. As reported by the anonymous researcher, Aidra forced infected devices to carry out a variety of distributed denial-of-service attacks but worked on a limited number of devices.

Linux/IRCTelnet also borrows telnet-scanning logic from a newer IoT bot known as Bashlight. It further lifts a list of some 60 widely used username-password combinations built into Mirai, a different IoT bot app whose source code was recently published on the Internet. It goes on to add code for attacking sites that run the next-generation Internet protocol known as IPv6.

[…]

Once a device is infected, its IP address is stored so the botnet operator can re-infect it if it suddenly loses contact with the command and control channel.

Source: New, more-powerful IoT botnet infects 3,500 devices in 5 days

The nation state has a single point of failure fiber, recently installed in 2011, and it could spell disaster for dozens of other countries

The attack was said to be upwards of 1.1Tbps — more than double the attack a few weeks earlier on security reporter Brian Krebs’ website, which was about 620Gbps in size, said to be one of the largest at the time. The attack was made possible by the Mirai botnet, an open-source botnet that anyone can use, which harnesses the power of insecure Internet of Things (IoT) devices.

This week, another Mirai botnet, known as Botnet 14, began targeting a small, little-known African country, Liberia, sending it almost entirely offline each time.

Security researcher Kevin Beaumont, who was one of the first to notice the attacks and wrote about what he found, said that the attack was one of the largest capacity botnets ever seen.

One transit provider said the attacks were over 500Gbps in size. Beaumont said that given the volume of traffic, it “appears to be the owned by the actor which attacked Dyn”.

Source: Mirai botnet attackers are trying to knock an entire country offline