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Android attacks escalate

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The Kaspersky Lab study ‘Financial Cyberthreats in 2014’ reports that the number of financial malware attacks against Android users grew by 3.25 times in 2014.

Following an initial decrease in March 2014, Kaspersky Lab researchers registered a significant increase in the number of attacks by Trojan-SMS malware during the second half of the year.

·         48.15% of the attacks against users of Android-based devices, that were blocked by Kaspersky Lab products, used malware targeting financial data (Trojan-SMS and Trojan-Banker) ;

·         The number of financial attacks against Android users in 2014 increased 3.25 times (from 711,993 to 2,317,194 attacks) compared with 2013, and the number of users attacked rose 3.64 times (up from 212,890 to 775,887);

·         98.02% of all attacks by Android banking malware were accounted for by only three malicious families.

Android is one of the most popular mobile operating systems in the world, and therefore attracts the attention of cybercriminals targeting users’ private information and money. During 2014, Kaspersky Lab’s Android products blocked a total of 2,317,194 financial attacks against 775,887 users around the world. The lion’s share of these (2,217,979 attacks against 750,327 users) used Trojan-SMS malware, and the rest (99,215 attacks against 59,200 users) used Trojan-Banker malware.

Although the Trojan-Banker contribution to the overall volume of financial attacks against Android users is relatively small, it continues to grow. During the year Kaspersky Lab products detected 20 different malicious Trojan-Banker programmes. But there were only three star performers among them: Faketoken, Svpeng and Marcher. Svpeng and Marcher are capable of stealing credentials for online banking as well as credit card information by replacing the authentication fields of mobile banking apps and app stores apps on an infected device. And Faketoken is made for intercepting mTAN codes used in multifactor authentication systems and forwarding it to criminals. These three families accounted for 98.02% of all Trojan-Banker attacks.

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Trojan-SMS comeback:

During Spring in Europe in 2014, Kaspersky Lab researchers noticed a significant decrease in the number of attacks by Trojan-SMS malware. One possible reason for this fall was the introduction by mobile-phone operators in Russia (the main source of Trojan-SMS threat) of an Advice of Charge (AoC) mechanism. This means that every time a customer (or an SMS Trojan) attempts to send a message to a premium number, the operator notifies the customer how much the service will cost and requests additional confirmation from the user.

The decrease ended in July and was followed by a steady increase throughout the rest of the year. The growth sped up in December, traditionally a “high” season for online shopping and online payment transactions and for criminals targeting financial data.

“During the year our cumulative Android user base grew significantly, which led to a rise in the number of financial malware detections and affected users. However, the overall growth rate of attacks with financial malware was faster and greater than could be explained by the increased number of Android devices alone. This growth rate is mainly down to Trojan-SMS. We believe that the main reason of the Trojan-SMS comeback is the appearance of malware capable of infection and theft even with AoC implemented in the cellular network. For example, we discovered such functionality in Opfake.a and Fakeinst malware modifications. Both are very active Trojan-SMS representatives”, said Roman Unuchek, Senior Malware Analyst at Kaspersky Lab.

Kaspersky Lab has many years of highly respected experience in combating mobile cyberthreats. This experience underpins Kaspersky Lab’s security solutions. For example, a mobile software developer kit is included in the Kaspersky Fraud Prevention platform that enables banks to protect their customers from online financial fraud. This allows banks to create mobile banking applications that are resilient to cyberthreats. Kaspersky Lab’s solutions for home users, such as Kaspersky Internet Security – Multi-Device and Kaspersky Total security – Multi-Device, also include security applications for the most popular mobile platforms.

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IoT at starting gate

South Africa is already past the Internet of Things (IoT) hype cycle and well into the mainstream, writes MARK WALKER, associate vice president of Sub-Saharan Africa at International Data Corporation (IDC).

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Projects and pilots are already becoming a commercial reality, tying neatly into the 2017 IDC prediction that 2018 would be the year when the local market took IoT mainstream. Over the next 12-18 months, it is anticipated that IoT implementations will continue to rise in both scope and popularity. Already 23% are in full deployment with 39% in the pilot phase. The value of IoT has been systematically proven and yet its reputation remains tenuous – more than 5% of companies are reluctant to put their money where the trend is – thanks to the shifting sands of IoT perception and success rate.

There are several reasons behind why IoT implementations are failing. The biggest is that organisations don’t know where to start. They know that IoT is something they can harness today and that it can be used to shift outdated modalities and operations. They are aware of the benefits and the case studies. What they don’t know is how to apply this knowledge to their own journey so their IoT story isn’t one of overbearing complexity and rising costs.

Another stumbling block is perception. Yes, there is the futuristic potential with the talking fridge and intelligent desk, but this is not where the real value lies. Organisations are overlooking the challenges that can be solved by realistic IoT, the banal and the boring solutions that leverage systems to deliver on business priorities. IoT’s potential sits within its ability to get the best out of assets and production efficiencies, solving problems in automation, security, and environment.

In addition to this, there is a lack of clarity around return on investment, uncertainty around the benefits, a lack of executive leadership, and concerns around security and the complexities of regulation.  Because IoT is an emerging technology there remains a limited awareness of the true extent of its value proposition and yet 66% of organisations are confident that this value exists.

This percentage poses both a problem and opportunity. On one hand, it showcases the local shift in thinking towards IoT as a technology worth investing into. On the other hand, many companies are seeing the competition invest and leaping blindly in the wrong direction. Stop. IoT is not the same for every business.

It is essential that every company makes its own case for IoT based on its needs and outcomes. Does agriculture have the same challenges as mining? Does one mining company have the same challenges as another? The answer is no. Organisations that want their IoT investment to succeed must reject the idea that they can pick up where another has left off. IoT must be relevant to the business outcome that it needs to achieve. While some use cases may apply to most industries based on specific circumstances, there are different realities and priorities that will demand a different approach and starting point.

Ask – what is the business problem right now and how can technology be leveraged to resolve it?

In the agriculture space, there is a need to improve crop yields and livestock management, improve farm productivity and implement environmental monitoring. In the construction and mining industry, safety and emergency response are a priority alongside workforce and production management. Education shifts the lens towards improving delivery and quality of education, access to advanced learning methods and reducing the costs of learning.  Smart cities want to improve traffic and efficiently deliver public services and healthcare is focusing on wellness, reducing hospital admissions and the security of assets and inventory management.

The technology and solutions selected must speak to these specific challenges.

If there are no insights used to create an IoT solution, it’s the equivalent of having the fastest Ferrari on Rivonia Road in peak traffic. It makes a fantastic noise, but it isn’t going to move any faster than the broken-down sedan in the next lane. Everyone will be impressed with the Ferrari, but the amount of power and the size of the investment mean nothing. It’s in the wrong place.

What differentiates the IoT successes is how a company leverages data to deliver meaningful value-added predictions and actions for personalised efficiencies, convenience, and improved industry processes. To move forward the organisation needs to focus on the business outcomes and not just the technology. They need to localise and adapt by applying context to the problem that’s being solved and explore innovation through partnerships and experimentation.

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ERP underpins food tracking

The food traceability market is expected to reach almost $20 billion by 2022 as increased consumer awareness, strict governance requirements, and advances in technology are resulting in growing standardisation of the segment, says STUART SCANLON, managing director of epic ERP

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Just like any data-driven environment, one of the biggest enablers of this is integrated enterprise resource planning (ERP) solutions.

As the name suggests, traceability is the ability to track something through all stages of production, processing, and distribution. When it comes to the food industry, traceability must also enable stakeholders to identify the source of all food inputs that can include anything from raw materials, additives, ingredients, and packaging.

Considering the wealth of data that all these facets generate, it is hardly surprising that systems and processes need to be put in place to manage, analyse, and provide actionable insights. With traceability enabling corrective measures to be taken (think product recalls), having an efficient system is often the difference between life or death when it comes to public health risks.

Expansive solutions

Sceptics argue that traceability simply requires an extensive data warehouse to be done correctly, the reality is quite different. Yes, there are standard data records to be managed, but the real value lies in how all these components are tied together.

ERP provides the digital glue to enable this. With each stakeholder audience requiring different aspects of traceability (and compliance), it is essential for the producer, distributor, and every other organisation in the supply chain, to manage this effectively in a standardised manner.

With so many different companies involved in the food cycle, many using their own, proprietary systems, just consider the complexity of trying to manage traceability. Organisations must not only contend with local challenges, but global ones as well as the import and export of food are big business drivers.

So, even though traceability is vital to keep track of everything in this complex cycle, it is also imperative to monitor the ingredients and factories where items are produced. Having expansive solutions that must track the entire process from ‘cradle to grave’ is an imperative. Not only is this vital from a safety perspective, but from cost and reputational management aspects as well. Just think of the recent listeriosis issue in South Africa and the impact it has had on all parties in that supply chain.

Efficiency improvements

Thanks to the increasing digital transformation efforts by companies in the food industry, traceability becomes a more effective process. It is no longer a case of using on-premise solutions that can be compromised but having hosted ones that provide more effective fail-safes.

In a market segment that requires strict compliance and regulatory requirements to be met, cloud-based solutions can provide everyone in the supply chain with a more secure (and tamper-resistant) solution than many of the legacy approaches of old.

This is not to say ERP requires the one or the other. Instead, there needs to be a transition provided between the two scenarios that empowers those in the food supply chain to maximise the insights (and benefits) derived from traceability.

Now, more than ever, traceability is a business priority. Having the correct foundation through effective ERP is essential if a business can manage its growth and meet legislative requirements into the future.

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