World's most heat resistant material found

New Delhi, Jul 18: India's national cybersecurity agency CERT-in, has warned people of credit card skimming spreading across the world through e-commerce platforms.

Attackers are typically targeting e-commerce sites because of their wide presence, popularity and the environment LAMP (Linux, Apache, MySQL, and PHP), the Computer Emergency Response Team (CERT-In) said in a notice on Thursday.

Recently, attackers targeted sites which were hosted on Microsoft's IIS server running with the ASP.NET web application framework, it said.

Some of the sites affected by the attack were found to be running ASP.NET version 4.0.30319, which is no longer officially supported by Microsoft and may contain multiple vulnerabilities, CERT-In said.

The notice also included a list of best practices for website developers including the use of the latest version of ASP.NET web framework, IIS web server and database server.

The advisory is based on research by Malwarebytes which found that this skimming campaign likely began sometime in April this year.

Credit card skimming has become a popular activity for cybercriminals over the past few years, and the increase in online shopping during the pandemic means additional business for them, too, Malwarebytes said in a blog post, adding that attackers do not need to limit themselves to the most popular e-commerce platforms.

Researchers from global cybersecurity and anti-virus brand Kaspersky had warned in December last year that more cybercriminal groups will target online payment processing systems in 2020. 

It said that over the past couple of years, so-called JS-skimming (the method of stealing of payment card data from online stores), has gained immense popularity among attackers. 

Kaspersky researchers in their report said they are currently aware of at least 10 different actors involved in these type of attacks.

Their number will continue to grow during the next year, the report said, adding that the most dangerous attacks will be on companies that provide services such as e-commerce as-a-service, which will lead to the compromise of thousands of companies.

Melbourne, Jul 24: Home-made cloth face masks may need a minimum of two layers, and preferably three, to prevent the dispersal of viral droplets associated with Covid-19, according to a study.

Researchers, including those from the University of New South Wales in Australia, noted that viral droplets are generated by those infected with the novel coronavirus when they cough, sneeze, or speak.

As face masks have been proven to protect healthy people from inhaling infectious droplets as well as reducing the spread from those who are already infected, several types of material have been suggested for these, but based on little or no evidence of how well they work, the scientists said.

In the current study, published in the journal Thorax, the researchers compared the effectiveness of single and double-layer cloth face coverings with a surgical face mask (Bao Thach) at reducing droplet spread.

They said the single layer covering was made from a folded piece of cotton T shirt and hair ties, and the double layer covering was made using the sew method described by the US Centers for Disease Control and Prevention (CDC).

The scientists used a tailored LED lighting system and a high-speed camera to film the dispersal of airborne droplets produced by a healthy person with no respiratory infection, during speaking, coughing, and sneezing while wearing each type of mask.

Their analysis showed that the surgical face mask was the most effective at reducing airborne droplet dispersal, although even a single layer cloth face covering reduced the droplet spread from speaking.

But the study noted that a double layer covering was better than a single layer in reducing the droplet spread from coughing and sneezing.

According to the researchers, the effectiveness of cloth face masks is dependent on the number of layers of the covering, the type of material used, design, fit as well as the frequency of washing.

Based on their observations, they said a home made cloth mask with at least two layers is preferable to a single layer mask.

"Guidelines on home-made cloth masks should stipulate multiple layers," the scientists said, adding that there is a need for more research to inform safer cloth mask design.

Twitter has joined efforts to do away with racially loaded terms such as master, slave and blacklist from its coding language in the wake of the death of African-American George Floyd and ensuing Black Lives Matter protests.

The project started even before the current movement for racial justice escalated following the death of 46-year-old George Floyd in police custody in May.

The use of terms such as "master" and "slave" in programming language originated decades ago. While "master" is used to refer to the primary version of a code, "slave" refers to the replicas. Similarly, the term "Blacklist" is used to refer to items which are meant to be automatically denied.

The efforts to change these terms in favour of more inclusive language at Twitter were initiated by Regynald Augustin and Kevin Oliver and the microblogging platform is now backing their efforts.

"Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that. #WordsMatter," Twitter's engineering team said in a post on Thursday.

As per the recommendations from the team, the term "whitelist" could be replaced by "allowlist" and "blacklist" by "denylist".

Similarly, "master/slave" could be replaced by "leader/follower", "primary/replica" or "primary/standby".

Twitter, however, is not the first to start a project to bring inclusivity in programming language.

According to a report in CNET, the team behind the Drupal online publishing software started using "primary/replica" in place of "master/slave" as early as in 2014.

The use of the terms "master/slave" was also dropped by developers of the Python programming language in 2018.

Now similar efforts are underway at Microsoft's Github and LinkedIn divisions as well, said the report.