Mobile threats are evolving and growing, especially for Android devices. In 2017, SophosLabs analyzed over 4 million malware samples, the vast majority coming from outside of Google's Play store. While the Play store removed over 700,000 violating apps, 37% of all submitted apps were potentially harmful. Several malware families have been discovered on Google Play by SophosLabs infecting over 280 million users. The number of new Android malware and potentially unwanted apps continues to increase yearly, with ransomware and cryptominers being increasingly common monetization methods employed by cybercriminals.
INFOGRAPHIC: Secure Computing as Threats EvolveSymantec
Symantec’s 2014 Internet Security Threat Report shows a marked decrease in many forms of malware and product vulnerabilities, plus faster responses to zero-day attacks. Symantec is blocking more attacks, more quickly, each year.
The 2017 Internet Threat Report exemplifies various techniques employed by the hackers and fraudsters. The report includes statistics behind the looming dangers such as Malware, Spam, Phishing etc
Read more about encryption
https://www.sslrenewals.com/blog/need-encryption-for-cybersecurity
Malware detection techniques for mobile devicesijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution, mobile applications are also increasing in their complexity and performance to cover most the needs of their users. Both software and hardware design focused on increasing performance and the working hours of a mobile device. Different mobile operating systems are being used today with different platforms and different market shares. Like all information systems, mobile systems are prone to malware attacks. Due to
the personality feature of mobile devices, malware detection is very important and is a must tool in each device to protect private data and mitigate attacks. In
this paper, we will study and analyze different malware detection techniques used for mobile operating systems. We will focus on the to two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware detection tool based on user profiling.
MALWARE DETECTION TECHNIQUES FOR MOBILE DEVICESijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile
device became a must device for persons using information and communication technologies. In addition to
hardware rapid evolution, mobile applications are also increasing in their complexity and performance to
cover most the needs of their users. Both software and hardware design focused on increasing performance
and the working hours of a mobile device. Different mobile operating systems are being used today with
different platforms and different market shares. Like all information systems, mobile systems are prone to
malware attacks. Due to the personality feature of mobile devices, malware detection is very important and
is a must tool in each device to protect private data and mitigate attacks. In this paper, we will study and
analyze different malware detection techniques used for mobile operating systems. We will focus on the to
two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its
advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware
detection tool based on user profiling.
INFOGRAPHIC: Secure Computing as Threats EvolveSymantec
Symantec’s 2014 Internet Security Threat Report shows a marked decrease in many forms of malware and product vulnerabilities, plus faster responses to zero-day attacks. Symantec is blocking more attacks, more quickly, each year.
The 2017 Internet Threat Report exemplifies various techniques employed by the hackers and fraudsters. The report includes statistics behind the looming dangers such as Malware, Spam, Phishing etc
Read more about encryption
https://www.sslrenewals.com/blog/need-encryption-for-cybersecurity
Malware detection techniques for mobile devicesijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution, mobile applications are also increasing in their complexity and performance to cover most the needs of their users. Both software and hardware design focused on increasing performance and the working hours of a mobile device. Different mobile operating systems are being used today with different platforms and different market shares. Like all information systems, mobile systems are prone to malware attacks. Due to
the personality feature of mobile devices, malware detection is very important and is a must tool in each device to protect private data and mitigate attacks. In
this paper, we will study and analyze different malware detection techniques used for mobile operating systems. We will focus on the to two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware detection tool based on user profiling.
MALWARE DETECTION TECHNIQUES FOR MOBILE DEVICESijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile
device became a must device for persons using information and communication technologies. In addition to
hardware rapid evolution, mobile applications are also increasing in their complexity and performance to
cover most the needs of their users. Both software and hardware design focused on increasing performance
and the working hours of a mobile device. Different mobile operating systems are being used today with
different platforms and different market shares. Like all information systems, mobile systems are prone to
malware attacks. Due to the personality feature of mobile devices, malware detection is very important and
is a must tool in each device to protect private data and mitigate attacks. In this paper, we will study and
analyze different malware detection techniques used for mobile operating systems. We will focus on the to
two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its
advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware
detection tool based on user profiling.
August was a big month for zero-day vulnerabilities, in which a total of 11 were reported. This is by far the largest number disclosed in a given month to-date.
Six of these zero-day vulnerabilities impact industrial control systems, devices used in industrial sectors and critical infrastructures, across five vendors. The vulnerabilities cover a wide range of possible attacks, including remote code execution and denial of service attacks.
Two further zero-day vulnerabilities were discovered in the Apple OS X operating system. When used in tandem, these two vulnerabilities can cause memory corruption in the OS X kernel and gain the attacker escalated privileges on the compromised computer.
These vulnerabilities come on the heels of a new OS X threat called OSX.Sudoprint. This threat exploits a local privilege escalation vulnerability in the OS X operating system, which was patched by Apple at the beginning of August. This threat comprised over 77 percent of the OS X threats we saw on OS X endpoints this month.
How to Protect Mobile Banking Users from BankBotZimperium
BankBot is Android-targeting malware using fake overlay screens to mimic existing banking apps to fool users and steal credentials. The newest BankBot variants target over 150 legitimate apps from banks based in 27 different countries. BankBot has evolved to intelligently target users based on geography, apps, and advanced Two-Factor Authentication in order to mislead users.
Cyberthreats broke new ground with mobile devices, while reaching deeper into social media. Online criminals also stepped up attacks via email, web and other traditional vectors.
Verizon Data Breach Investigations Report (DBIR) 2017PhishingBox
The Verizon Data Breach Investigation Report (DBIR) provides useful information related to information security. The information was obtained from a collaboration of many security organizations and vendors. The findings from the report confirm that phishing is a significant threat vector in today's environment. This presentations highlights key points from the DBIR related to phishing.
Proofpoint has a comprehensive solution to fight email fraud
Email fraud continues to expand its reach and attackers continue to shift in their approach. Proofpoint helps organizations stop all forms of email fraud with a comprehensive multi-layered solution.
To learn more about the email fraud landscape, read the full quarterly threat update here: www.proofpoint.com/us/resources/threat-reports/quarterly-email-fraud-report
For more information about how to stop impostor email attacks before they reach the inbox, please visit: www.proofpoint.com/us/solutions/email-fraud
Breaches happen every day. The culprit? Malware. It’s no longer a question of “if” you’ll be breached, but “when”. Don’t become another statistic. Protect your organization today. Learn more here >> http://cs.co/ampvodvepg
August was a big month for zero-day vulnerabilities, in which a total of 11 were reported. This is by far the largest number disclosed in a given month to-date.
Six of these zero-day vulnerabilities impact industrial control systems, devices used in industrial sectors and critical infrastructures, across five vendors. The vulnerabilities cover a wide range of possible attacks, including remote code execution and denial of service attacks.
Two further zero-day vulnerabilities were discovered in the Apple OS X operating system. When used in tandem, these two vulnerabilities can cause memory corruption in the OS X kernel and gain the attacker escalated privileges on the compromised computer.
These vulnerabilities come on the heels of a new OS X threat called OSX.Sudoprint. This threat exploits a local privilege escalation vulnerability in the OS X operating system, which was patched by Apple at the beginning of August. This threat comprised over 77 percent of the OS X threats we saw on OS X endpoints this month.
How to Protect Mobile Banking Users from BankBotZimperium
BankBot is Android-targeting malware using fake overlay screens to mimic existing banking apps to fool users and steal credentials. The newest BankBot variants target over 150 legitimate apps from banks based in 27 different countries. BankBot has evolved to intelligently target users based on geography, apps, and advanced Two-Factor Authentication in order to mislead users.
Cyberthreats broke new ground with mobile devices, while reaching deeper into social media. Online criminals also stepped up attacks via email, web and other traditional vectors.
Verizon Data Breach Investigations Report (DBIR) 2017PhishingBox
The Verizon Data Breach Investigation Report (DBIR) provides useful information related to information security. The information was obtained from a collaboration of many security organizations and vendors. The findings from the report confirm that phishing is a significant threat vector in today's environment. This presentations highlights key points from the DBIR related to phishing.
Proofpoint has a comprehensive solution to fight email fraud
Email fraud continues to expand its reach and attackers continue to shift in their approach. Proofpoint helps organizations stop all forms of email fraud with a comprehensive multi-layered solution.
To learn more about the email fraud landscape, read the full quarterly threat update here: www.proofpoint.com/us/resources/threat-reports/quarterly-email-fraud-report
For more information about how to stop impostor email attacks before they reach the inbox, please visit: www.proofpoint.com/us/solutions/email-fraud
Breaches happen every day. The culprit? Malware. It’s no longer a question of “if” you’ll be breached, but “when”. Don’t become another statistic. Protect your organization today. Learn more here >> http://cs.co/ampvodvepg
Internet Security Threat Report (ISTR) GovernmentSSLRenewals
Internet Security Threat Report (ISTR) details how simple tactics and innovative cyber criminals led to unprecedented outcomes in global threat activity. Credit - Symantec
About SSL Security -
https://www.sslrenewals.com
Since its debut, Android has quickly claimed significant market share in the mobile market. Unfortunately, such popularity (amongst other factors) makes Android a lucrative target for malware authors. New families and variants of malware keep cropping up each quarter, and this trend shows no sign of slowing down. In Q1 2011, 10 new families and variants were discovered. A year later, this number has nearly quadrupled with 37 new
families and variants discovered in Q1 2012 alone.
Symantec (ISTR) Internet Security Threat Report Volume 22CheapSSLsecurity
Symantec’s Internet Security Threat Report (ISTR) demonstrates how simple tactics and innovative cyber criminals led to unprecedented outcomes in global threat activity.
AndRadar: Fast Discovery of Android Applications in Alternative MarketsFACE
Compared to traditional desktop software, Android applica- tions are delivered through software repositories, commonly known as application markets. Other mobile platforms, such as Apple iOS and BlackBerry OS also use the marketplace model, but what is unique to Android is the existence of a plethora of alternative application markets. This complicates the task of detecting and tracking Android malware. Identifying a malicious application in one particular market is simply not enough, as many instances of this application may exist in other markets. To quantify this phenomenon, we exhaustively crawled 8 markets between June and November 2013. Our findings indicate that alternative markets host a large number of ad-aggressive apps, a non-negligible amount of mal- ware, and some markets even allow authors to publish known malicious apps without prompt action.
Motivated by these findings, we present AndRadar, a framework for dis- covering multiple instances of a malicious Android application in a set of alternative application markets. AndRadar scans a set of markets in parallel to discover similar applications. Each lookup takes no more than a few seconds, regardless of the size of the marketplace. Moreover, it is modular, and new markets can be transparently added once the search and download URLs are known.
Using AndRadar we are able to achieve three goals. First, we can discover malicious applications in alternative markets, second, we can expose app distribution strategies used by malware developers, and third, we can moni- tor how different markets react to new malware. During a three-month eval- uation period, AndRadar tracked over 20,000 apps and recorded more than 1,500 app deletions in 16 markets. Nearly 8% of those deletions were related to apps that were hopping from market to market. The most established markets were able to react and delete new malware within tens of days from the malicious app publication date while other markets did not react at all.
Adaptive Mobile Malware Detection Model Based on CBRijtsrd
Today, the mobile phones can maintain lots of sensitive information. With the increasing capabilities of such phones, more and more malicious software malware targeting these devices have emerged. However there are many mobile malware detection techniques, they used specified classifiers on selected features to get their best accuracy. Thus, an adaptive malware detection approach is required to effectively detect the concept drift of mobile malware and maintain the accuracy. An adaptive malware detection approach is proposed based on case based reasoning technique in this paper to handle the concept drift issue in mobile malware detection. To demonstrate the design decision of our approach, several experiments are conducted. Large features set with 1,065 features from 10 different categories are used in evaluation. The evaluation includes both accuracy and efficiency of the model. The experimental results prove that our approach achieves acceptable performance and accuracy for the malware detection. Kyaw Soe Moe | Mya Mya Thwe "Adaptive Mobile Malware Detection Model Based on CBR" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28088.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/28088/adaptive-mobile-malware-detection-model-based-on-cbr/kyaw-soe-moe
A Systematic Review of Android Malware Detection TechniquesCSCJournals
Malware detection is a significant key to Android application security. Malwares threat to Android users is increasing day by day. End users need security because they use mobile device to communicate information. Therefore, developing malware detection and control technology should be a priority. This research has extensively explored various state of the art techniques and mechanisms to detect malwares in Android applications by systematic literature review. It categorized the current researches into static, dynamic and hybrid approaches. This research work identifies the limitation and strength current research work. According to the restrictions of current malware detection technologies, it can conclude that detection technologies that use statistical analysis consume more time, energy and resources as compare to machine learning techniques. The results obtained from this research work reinforce the assertion that detection approaches designed for Android malware do not produce 100% efficient detection accuracy.
Android-manifest extraction and labeling method for malware compilation and d...IJECEIAES
Malware is a nuisance for smartphone users. The impact is detrimental to smartphone users if the smartphone is infected by malware. Malware identification is not an easy process for ordinary users due to its deeply concealed dangers in application package kit (APK) files available in the Android Play Store. In this paper, the challenges of creating malware datasets are discussed. Long before a malware classification process and model can be built, the need for datasets with representative features for most types of malwares has to be addressed systematically. Only after a quality data set is available can a quality classification model be obtained using machine learning (ML) or deep learning (DL) algorithms. The entire malware classification process is a full pipeline process and sub processes. The authors purposefully focus on the process of building quality malware datasets, not on ML itself, because implementing ML requires another effort after the reliable dataset is fully built. The overall step in creating the malware dataset starts with the extraction of the Android Manifest from the APK file set and ends with the labeling method for all the extracted APK files. The key contribution of this paper is on how to generate datasets systematically from any APK file.
You may be surprised that nearly 2.2 billion smartphones and tablets will be sold to end users in 2014. With the number of smartphones and tablets on the increase and adoption of enterprise mobile computing on the rise, security breaches, malware attacks and exploitation of application vulnerability on mobile devices are maturing. By 2017, Gartner predicts that the focus of endpoint breaches will shift to tablets and smartphones. That indicates how important the subject of Mobile Security is and going to be in the future.
Similar to Android stats v6 for threat report - Sophos (20)
Proyecto Ninja es una nueva sección de nuestro portal donde ofreceremos a los Canales IT de LATAM la oportunidad de validar sus habilidades sobre diversos verticales, soluciones o productos de marcas destacadas de la Industria para que puedan obtener certificados y medallas que avalen sus conocimentos y que luego podrán ser compartidas para fortalecer y potenciar su reputación profesional en el mercado.
Más info: www.itsitio.com/nosotros
Proyecto Ley de Economia del Conocimiento modificado ITSitio.com
Este es el texto del proyecto de reforma de la Ley de Economía del Conocimiento que el Ministerio de Producción presentó este mediodía en la Cámara de Diputados
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Android stats v6 for threat report - Sophos
1. Confidential - Sophos internal and partners only 1
Mobile threats are here to stay and evolving
Everyone is mobile
• Every organization faces security
risks when employees mix personal
and business access to apps, email,
the internet from a device
• Any device that is roaming is
vulnerable
• Employee productivity versus
security must be balanced
• Every business needs to evaluate
what their risks are
Core reasons why Android
devices are attacked
• Google Play store is not
immune to malware
• 3rd party stores are a major
attack vector
• Multiple ways to monetize:
ransomware, cryptojacking, banking
Trojans, rogue advertisement and
premium SMS
2. Mobile Threat Data Points
Confidential - Sophos internal and partners only 2
iOS THREATS
<10
ANDROID THREATS
4 Million+
VS.
2017 SophosLabs Analyzation
Vast majority of
4 Million Malware Samples
came from outside
Google’s walled garden
In 2017, Google Play reported
35 different threat families
Google took down
700,000 packages
violating Google Play policies
A continuing trend:
47 threat families so far
6 of 37 malware families
discovered at SophosLabs
3. Android apps removed from Google Play
3
37% potentially harmful applications removed from Google Play in 2017 – SophosLabs
Total apps
submitted to
Google Play in
2017:
2,144,733
Free Apps:
2,012,893
Paid Apps:
131,840
37% - Removed from
Google Play app store
Free Apps: 681,241
Paid Apps: 109,897
Left in Google Play:
Free Apps: 1,331,652
Paid Apps: 21,943
14.2 billion installs
Built by 184,852
developers
4. Malware on Google Play found by SophosLabs
4
Cumulative number of malicious apps on Google Play from July 2017 till September 2018
0
2000
1800
1600
1400
1200
1000
800
600
200
400
(number of unique applications)
July 2017 January 2018 September 2018
SonicSpy
CPUMiner
ExpensiveWall
BankBot
AsiaHitGroup
Tizi
LightsOut
MyEtherWallet
47 New Malware Families
280 Million Downloads
6 out of 37 Malware Families
Discovered in 2018 Were
Discovered by Sophos
5. Android Malware Growth, 2015-2018
5
Annual rate of new Android malware and PUA collected by SophosLabs
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
4,000,000
4,500,000
2012 2013 2014 2015 2016 2017 2018
Malware PUA
Source: SophosLabs, 2017
100%
increase in new
malware sightings
expected, as
compared to 2015
projected
6. Android Ransomware: No sign of going away
6
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
500,000
2013 2014 2015 2016 2017 2018 Jan-
Aug
New Android ransomware samples
collected by SophosLabs, per year
SophosLabs: Cryptojacking is
replacing ransomware as a
preferred monetization route.
But ransomware shows no sign
of going away
7. Cryptominers: On The Rise
Confidential - Sophos internal and partners only 7
SophosLabs:
• Discovered 25 cryptomining apps on Google Play disguised
as games and educational applications on September 24,
installed more than 120,000 times LINK
• Observed more than 20,000 different variants of the Loapi
cryptomining malware in the second half of 2017
function startMiner(n, id)
{
if (isAlreadyStarted)
return;
isAlreadyStarted=true;
var miner = new
CoinHive.Anonymous(id, {
threads: n-1,
autoThreads: true,
throttle: 0.5
});
miner.start();
}
Generates cryptocurrency
for cybercriminals
8. Resources
Confidential - Sophos internal and partners only 8
SophosLabs Uncut “Android”
o Research straight from SophosLabs
Naked Security News
o Industry security news
SophosLabs on Twitter
o Follow for breaking news
and updates
Sophos Mobile Security
o Technology innovations
and protection
Editor's Notes
https://news.sophos.com/en-us/2018/06/18/what-makes-a-mobile-threat-researcher-tick/
SS: #3: the line below is unnecessary – the graph already reflects that, too much text
In 2017, the iOS threats SophosLabs analyzed numbered in the single digits. In comparison, SophosLabs processed more than 4 million malicious Android samples, many of them found in the wild
The vast majority of the 4 million Android malware samples SophosLabs classified last year came from outside Google’s walled garden
Even on Google Play, 35 different threat families were reported in 2017, and Google itself took down 700,000 packages for violating Google Play policies
That trend is continuing – 47 threat families have been seen on Google Play 6 out of 37 malware familes discovered in 2018 were by SophosLabs
Ransomware was rampant on mobile devices even before it became a plague on desktop and laptop computers, although in the early days it didn’t scramble your files, but just tried to freeze you out of your phone.
More recently, file-scrambling malware has become more and more widespread on Android, though mobile ransomware doesn’t yet seem to be causing the same pain that it has on Windows computers.
Typical ransomware on Android devices is either full-blown crypto ransomware that encrypts files on your device or lock screen ransomware that “locks” your device and then asks you for money to unlock it.
Mobile cryptojacking is when crooks try to “borrow” your phone’s processor to mine for cryptocurrency
SophosLabs saw more than 20,000 different variants of the Loapi cryptomining malware in the second half of 2017
In early 2018, SophosLabs saw Coinhive-based miners added to tampered copies of popular apps, like Netflix and Instagram, as well as soccer apps and other apps based on web frameworks such as Cordova
Most of these were distributed through third party stores, but SophosLabs did identify a number on Google Play