Using Have I Been Pwned In R

Kevin Feasel

2018-04-19

R, Security

Maelle Salmon shows us how to use the HIBPwned library in R:

The alternative title of this blog post is HIBPwned version 0.1.7 has been released! W00t!. Steph’s HIBPwned package utilises the HaveIBeenPwned.com API to check whether email addresses and/or user names have been present in any publicly disclosed data breach. In other words, this package potentially delivers bad news, but useful bad news!

This release is mainly a maintenance release, with some cool code changes invisible to you, the user, but not only that: you can now get account_breaches for several accounts in a data.frame instead of a list, and you’ll be glad to know that results are cached inside an active R session. You can read about more functionalities of the package in the function reference.

Wouldn’t it be a pity, though, to echo the release notes without a nifty use case? Another blog post will give more details about the technical aspects of the release, but here, let’s make you curious! How many CRAN package maintainers have been pwned?

Read on to find out that answer.

Related Posts

Visualizing with Heatmaps in R

Anisa Dhana shows how you can create a quick heatmap plot in R: To give your own colors use the scale_fill_gradientn function.ggplot(dat, aes(Age, Race)) + geom_raster(aes(fill = BMI)) + scale_fill_gradientn(colours=c("white", "red")) This is a quick example using ggplot2 but there are other heatmap libraries available too.

Read More

Predicting Intermittent Demand

Bruno Rodrigues shows one technique for forecasting intermittent data: Now, it is clear that this will be tricky to forecast. There is no discernible pattern, no trend, no seasonality… nothing that would make it “easy” for a model to learn how to forecast such data. This is typical intermittent demand data. Specific methods have been […]

Read More

Categories

April 2018
MTWTFSS
« Mar May »
 1
2345678
9101112131415
16171819202122
23242526272829
30