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This should come as a surprise, a mild or perhaps not-so-mild shock, to those many people who lock their computer screens while temporarily moving away. Well, your system, your data is not secure when you do so. It’s just a USB device that’s needed to steal critical data from your locked system. This might be news for many, as regards PC security.
Security expert Rob Fuller has now explained that it’s very easy to copy an OS account password hash from a locked computer using a special USB device, and that too in a few seconds. This hash can then be cracked or used directly in network attacks. Rob, who has over a decade’s experience covering all aspects of information security, has explained this in detail in a post that he has made on his website www.room362.com.
Rob Fuller has proved this using a flash-drive-size computer device called USB Armory that costs $155, but he has also stated that it can be done using other cheaper devices as well. Says Rob Fuller- “I started off with a USB Armory ($155) but below I’ll show you how to do this with a Hak5 Turtle ($49.99) as well.”
How it works
All that it takes is to plug in a device that masquerades as a USB Ethernet adapter in such a way that it becomes the primary network interface on the locked computer that’s targeted. This is rather easy because firstly, even if a computer is locked, OSs automatically start installing newly connected USB devices, including Ethernet cards, and secondly, the OSs automatically configure such devices as the default gateways.
Says Rob Fuller in his website post- “USB is Plug-and-Play. This means that even if a system is locked out, the device still gets installed. Now, I believe there are restrictions on what types of devices are allowed to install at a locked out state on newer operating systems (Win10/El Capitan), but Ethernet/LAN is definitely on the white list.”
When a new network card gets installed, the Operating System would configure it to automatically detect the network settings. This is done through the DHCP (Dynamic Host Configuration Protocol) and anyone wishing to steal data from a locked computer can have a rogue computer at the other end of the Ethernet cable to act as a DHCP server. When it’s a USB Armory that’s used, it becomes easier because USB Armory works like a computer on a stick, powered via USB and running on Linux. Thus, there is no need to attach a separate rogue machine.
Thus, the attacker happens to gain control of a computer’s network settings using the USB device. He thus also can control the system’s DNS (Domain Name System) responses and is able to configure a rogue internet proxy through the WPAD (Web Proxy Autodiscovery) protocol and more. Thereby he attains an advantageous man-in-the-middle position, which he can utilize to intercept and tamper with the computer’s network traffic.
As Rob Fuller says- “Computers are constantly creating traffic, even if you don’t have any browsers or applications open, and most computers trust their local network…” Thus, it becomes possible for the attacker who makes his entry into the system using the USB device to extract the account name and the hashed password. The capturing of credentials from a locked system in this manner can be done in a short time. Rob Fuller says he needed only about 13 seconds for his test attack.
The stolen password hashes would either be in the in NT LAN Manager (NTLM) version 2 or NTLMv1 format, based on the targeted computer and its configuration. NTLMv2 hashes, though harder to crack, can be cracked if the password is not too complex and the hacker uses a powerful password cracking rig. Moreover, there are some instances where relay attacks against network services can be made possible by using NTLM hashes directly without having to know plaintext passwords.
So, next time you move away leaving your computer locked, remember that someone can very easily get away with your credentials and shatter your concepts regarding PC security.
Business Enablement By Way Of The BISO
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Top 10 Big Data trends of 2020
During the last few decades, Big Data has become an insightful idea in all the significant technical terms. Additionally, the accessibility of wireless connections and different advances have facilitated the analysis of large data sets. Organizations and huge companies are picking up strength consistently by improving their data analytics and platforms.
2019 was a major year over the big data landscape. In the wake of beginning the year with the Cloudera and Hortonworks merger, we’ve seen huge upticks in Big Data use across the world, with organizations running to embrace the significance of data operations and orchestration to their business success. The big data industry is presently worth $189 Billion, an expansion of $20 Billion more than 2018, and is set to proceed with its rapid growth and reach $247 Billion by 2022.
It’s the ideal opportunity for us to look at Big Data trends for 2020.
Chief Data Officers (CDOs) will be the Center of Attraction
The positions of Data Scientists and Chief Data Officers (CDOs) are modestly new, anyway, the prerequisite for these experts on the work is currently high. As the volume of data continues developing, the requirement for data professionals additionally arrives at a specific limit of business requirements.
CDO is a C-level authority at risk for data availability, integrity, and security in a company. As more businessmen comprehend the noteworthiness of this job, enlisting a CDO is transforming into the norm. The prerequisite for these experts will stay to be in big data trends for quite a long time.
Investment in Big Data Analytics
Analytics gives an upper hand to organizations. Gartner is foreseeing that organizations that aren’t putting intensely in analytics by the end of 2020 may not be ready to go in 2021. (It is expected that private ventures, for example, self-employed handymen, gardeners, and many artists, are excluded from this forecast.)
The real-time speech analytics market has seen its previously sustained adoption cycle beginning in 2019. The idea of customer journey analytics is anticipated to grow consistently, with the objective of improving enterprise productivity and the client experience. Real-time speech analytics and customer journey analytics will increase its popularity in 2020.
Multi-cloud and Hybrid are Setting Deep Roots
As cloud-based advances keep on developing, organizations are progressively liable to want a spot in the cloud. Notwithstanding, the process of moving your data integration and preparation from an on-premises solution to the cloud is more confounded and tedious than most care to concede. Additionally, to relocate huge amounts of existing data, organizations should match up to their data sources and platforms for a little while to months before the shift is complete.
In 2020, we hope to see later adopters arrive at a conclusion of having multi-cloud deployment, bringing the hybrid and multi-cloud philosophy to the front line of data ecosystem strategies.
Actionable Data will Grow
Another development concerning big data trends 2020 recognized to be actionable data for faster processing. This data indicates the missing connection between business prepositions and big data. As it was referred before, big data in itself is futile without assessment since it is unreasonably stunning, multi-organized, and voluminous. As opposed to big data patterns, ordinarily relying upon Hadoop and NoSQL databases to look at data in the clump mode, speedy data mulls over planning continuous streams.
Because of this data stream handling, data can be separated immediately, within a brief period in only a single millisecond. This conveys more value to companies that can make business decisions and start processes all the more immediately when data is cleaned up.
Continuous Intelligence is a framework that has integrated real-time analytics with business operations. It measures recorded and current data to give decision-making automation or decision-making support. Continuous intelligence uses several technologies such as optimization, business rule management, event stream processing, augmented analytics, and machine learning. It suggests activities dependent on both historical and real-time data.
Gartner predicts more than 50% of new business systems will utilize continuous intelligence by 2022. This move has begun, and numerous companies will fuse continuous intelligence during 2020 to pick up or keep up a serious edge.
Machine Learning will Continue to be in Focus
Being a significant innovation in big data trends 2020, machine learning (ML) is another development expected to affect our future fundamentally. ML is a rapidly developing advancement that used to expand regular activities and business processes
ML projects have gotten the most investments in 2019, stood out from all other AI systems joined. Automated ML tools help in making pieces of knowledge that would be difficult to separate by various methods, even by expert analysts. This big data innovation stack gives faster results and lifts both general productivity and response times.
Abandon Hadoop for Spark and Databricks
Since showing up in the market, Hadoop has been criticized by numerous individuals in the network for its multifaceted nature. Spark and managed Spark solutions like Databricks are the “new and glossy” player and have accordingly been picking up a foothold as data science workers consider them to be as an answer to all that they disdain about Hadoop.
However, running a Spark or Databricks work in data science sandbox and then promoting it into full production will keep on facing challenges. Data engineers will keep on requiring more fit and finish for Spark with regards to enterprise-class data operations and orchestration. Most importantly there are a ton of options to consider between the two platforms, and companies will benefit themselves from that decision for favored abilities and economic worth.
In-memory computing has the additional advantage of helping business clients (counting banks, retailers, and utilities) to identify patterns rapidly and break down huge amounts of data without any problem. The dropping of costs for memory is a major factor in the growing enthusiasm for in-memory computing innovation.
In-memory innovation is utilized to perform complex data analyses in real time. It permits its clients to work with huge data sets with a lot more prominent agility. In 2020, in-memory computing will pick up fame because of the decreases in expenses of memory.
IoT and Big Data
There are such enormous numbers of advancements that expect to change the current business situations in 2020. It is hard to be aware of all that, however, IoT and digital gadgets are required to get a balance in big data trends 2020.
The function of IoT in healthcare can be seen today, likewise, the innovation joining with gig data is pushing companies to get better outcomes. It is expected that 42% of companies that have IoT solutions in progress or IoT creation in progress are expecting to use digitized portables within the following three years.
Digital Transformation Will Be a Key Component
Digital transformation goes together with the Internet of Things (IoT), artificial intelligence (AI), machine learning and big data. With IoT connected devices expected to arrive at a stunning 75 billion devices in 2025 from 26.7 billion presently, it’s easy to see where that big data is originating from. Digital transformation as IoT, IaaS, AI and machine learning is taking care of big data and pushing it to regions inconceivable in mankind’s history.
Feedzai grows +44% in the first half of the fiscal year and strengthens its C-suite
H1 growth above target amid the COVID-19 pandemic and market uncertainty. Multiple multi-year enterprise contracts negotiated during the lockdown
New Chief Financial Officer and Chief Marketing Officer join the company
26% of the revenue invested in R&D and 10 patents filed in H1 2020
Feedzai, the world’s leading risk management platform, announced today that its Q2 2020 has been one of the most successful ever from a new business generated perspective. The company has experienced a +44% growth in new Annual Recurring Revenue (ARR) in H1 2020 when compared to H1 2019. A very successful renewal cycle and new large-enterprise deals closed in the US, EMEA, APAC, and LATAM, made the first half of the year a success.
Feedzai currently protects companies with more than 800 million customers in 190 countries. With more than 154M US individual and business taxpayers, almost half of the UK and Canada’s population, and 60% of global music streaming subscriptions being monitored and protected by Feedzai, the company has shown over the years that its mission-critical technology is preferred by the largest and most innovative companies in the world.
Since the beginning of the pandemic, Feedzai has seen an increase in financial crime, particularly mule accounts, phishing attacks, employer fraud, and a big spike in fraudulent activity related to online commerce in which people had to significantly rely on during the lockdown.
“Fraudsters thrive on periods of confusion and chaos, and this pandemic represents fertile breeding ground. While many bank capital investments are on hold amidst the economic uncertainty, we are seeing that solutions like Feedzai’s, which reduce fraud losses, decrease operational expense, and improve customer experience through more efficient detection routines are actually seeing increased prioritization for funding, given the increased urgency to protect digital channel transactions in a customer-friendly manner,” says Julie Convoy, Research Director at Aite.
“Feedzai had one of its best quarters ever amid the pandemic, while many industries, unfortunately, showed signs of deterioration. This simultaneously shows that our technology is mission-critical, and our business is crisis resilient,” said Nuno Sebastiao, Co-founder, and CEO of Feedzai. “I’m confident that our next phase of growth will benefit from market conditions in which digital transformation will play a larger than ever role, and from a set of strategic decisions we’ve made in the last 9 months.”
As part of the growth, Feedzai has achieved several important milestones, including:
Business Performance – Feedzai reports a +44% growth in H1 2020 compared to the same period in 2019. The company has also seen Q2 2020 growth above target amid the COVID-19 pandemic, which led to one of its best quarters ever from a new Annual Recurring Revenue (ARR).
C-suite Strengthening – the company has defined a combination of strategic hires and internal promotions to prepare the organization for the next level of growth
Amaury Dauge, Chief Financial Officer – joins Feedzai after several C-level roles at Qontigo and previous experience as the CFO of Euronext, the 6th largest stock exchange in the world
Varun Kohli, Chief Marketing Officer – a seasoned Silicon Valley executive, who has been part of multiple multi-billion dollar exits (8 out of 9 companies he worked at either went IPO or were acquired)
Richard Harris, EVP of Global Sales – a veteran in both the finance and technology industries, steps in to spearhead the global sales operation after 5 very successful years at Feedzai where he led international operations. Prior to that, Harris held leadership positions at Visa, Experian, and American Express
Pedro Barata, SVP of Product – after 10 years at Feedzai – hired as one of the first employees of the company – Barata becomes the new product leader after successfully building from scratch the entire Customer Success operation
Cristina Perez, Head of Legal – joins Feedzai after 20 years spearheading legal, public policy, and regulatory affairs at Vodafone Portugal
Geographic Expansion and Strategic Deals – Feedzai has closed deals during H1 in all of the regions it is currently operating in – US, EMEA, APAC, and LATAM – and was able to negotiate multi-year contracts with some of the largest and most innovative companies in the world (e.g. one of the biggest payments processors in the world, one of the top 3 banks in Brazil, one of the big four banks in Australia, the largest national card processor in Europe, and several others).
Cutting-Edge technology – Feedzai continues to pave the way with the most advanced, and promising machine learning techniques built to better protect customers and businesses all over the world. The company also keeps protecting its growing Intellectual Property portfolio with 6 new patents filed in the first half of the year around Deep Learning, Model Fairness Optimization, Active Learning, Transaction Graph Representations, and more. Feedzai will also invest around 26% of its revenue in R&D by the end of 2020, while the average investment made by successful SaaS companies sits at 23%.
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