Artificial intelligence just made guessing your password a whole lot easier

Scientists have harnessed the power of artificial intelligence (AI) to create a program that, combined with existing tools, figured more than a quarter of the passwords from a set of more than 43 million LinkedIn profiles. Yet the researchers say the technology may also be used to beat baddies at their own game.
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The Stevens team created a GAN it called PassGAN and compared it with two versions of hashCat and one version of John the Ripper. The scientists fed each tool tens of millions of leaked passwords from a gaming site called RockYou, and asked them to generate hundreds of millions of new passwords on their own. Then they counted how many of these new passwords matched a set of leaked passwords from LinkedIn, as a measure of how successful they’d be at cracking them.

On its own, PassGAN generated 12% of the passwords in the LinkedIn set, whereas its three competitors generated between 6% and 23%. But the best performance came from combining PassGAN and hashCat. Together, they were able to crack 27% of passwords in the LinkedIn set, the researchers reported this month in a draft paper posted on arXiv. Even failed passwords from PassGAN seemed pretty realistic: saddracula, santazone, coolarse18.

Source: Artificial intelligence just made guessing your password a whole lot easier

BlueBorne: Turn off your bluetooth

Armis Labs revealed a new attack vector endangering major mobile, desktop, and IoT operating systems, including Android, iOS, Windows, and Linux, and the devices using them. The new vector is dubbed “BlueBorne”, as it spread through the air (airborne) and attacks devices via Bluetooth. Armis has also disclosed eight related zero-day vulnerabilities, four of which are classified as critical. BlueBorne allows attackers to take control of devices, access corporate data and networks, penetrate secure “air-gapped” networks, and spread malware laterally to adjacent devices. Armis reported these vulnerabilities to the responsible actors, and is working with them as patches are being identified and released.
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BlueBorne is an attack vector by which hackers can leverage Bluetooth connections to penetrate and take complete control over targeted devices. BlueBorne affects ordinary computers, mobile phones, and the expanding realm of IoT devices. The attack does not require the targeted device to be paired to the attacker’s device, or even to be set on discoverable mode. Armis Labs has identified eight zero-day vulnerabilities so far, which indicate the existence and potential of the attack vector. Armis believes many more vulnerabilities await discovery in the various platforms using Bluetooth. These vulnerabilities are fully operational, and can be successfully exploited, as demonstrated in our research. The BlueBorne attack vector can be used to conduct a large range of offenses, including remote code execution as well as Man-in-The-Middle attacks.

Source: BlueBorne Information from the Research Team – Armis Labs

Outlook.com looking more like an outage outbreak for Europe

Microsoft’s email services got hit with not one but two bugs today: in addition to an earlier blip with Exchange Online, Microsoft confirmed it is now probing “issues” with “some” Outlook.com users in Europe.

According to downdetector.com, more than a thousand users have reported problems such as trouble receiving messages and logging in to their webmail accounts (Outlook used to be Hotmail and Windows Live Hotmail) since around 9.00am.

The site, which provides a handy snapshot of partial and total service eclipses map, revealed most of the reports are coming from western Europe.

Source: Outlook.com looking more like an outage outbreak for Europe

Clouds!

Introducing: Unity Machine Learning Agents for Tensorflow

Unity Machine Learning Agents

We call our solution Unity Machine Learning Agents (ML-Agents for short), and are happy to be releasing an open beta version of our SDK today! The ML-Agents SDK allows researchers and developers to transform games and simulations created using the Unity Editor into environments where intelligent agents can be trained using Deep Reinforcement Learning, Evolutionary Strategies, or other machine learning methods through a simple to use Python API. We are releasing this beta version of Unity ML-Agents as open-source software, with a set of example projects and baseline algorithms to get you started. As this is an initial beta release, we are actively looking for feedback, and encourage anyone interested to contribute on our GitHub page. For more information on ML-Agents, continue reading below! For more detailed documentation, see our GitHub Wiki.

Source: Introducing: Unity Machine Learning Agents – Unity Blog

Deloitte hit by cyber-attack revealing clients’ secret emails

One of the world’s “big four” accountancy firms has been targeted by a sophisticated hack that compromised the confidential emails and plans of some of its blue-chip clients, the Guardian can reveal.
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One of the largest private firms in the US, which reported a record $37bn (£27.3bn) revenue last year, Deloitte provides auditing, tax consultancy and high-end cybersecurity advice to some of the world’s biggest banks, multinational companies, media enterprises, pharmaceutical firms and government agencies.

The Guardian understands Deloitte clients across all of these sectors had material in the company email system that was breached. The companies include household names as well as US government departments.

So far, six of Deloitte’s clients have been told their information was “impacted” by the hack. Deloitte’s internal review into the incident is ongoing.

The Guardian understands Deloitte discovered the hack in March this year, but it is believed the attackers may have had access to its systems since October or November 2016.

The hacker compromised the firm’s global email server through an “administrator’s account” that, in theory, gave them privileged, unrestricted “access to all areas”.

The account required only a single password and did not have “two-step“ verification, sources said.

Emails to and from Deloitte’s 244,000 staff were stored in the Azure cloud service, which was provided by Microsoft. This is Microsoft’s equivalent to Amazon Web Service and Google’s Cloud Platform.

Source: Deloitte hit by cyber-attack revealing clients’ secret emails