Visualising SSH attacks with R

[This article was first published on R – Enchufa2, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

If you have any machine with an SSH server open to the world and you take a look at your logs, you may be alarmed to see so many login attempts from so many unknown IP addresses. DenyHosts is a pretty neat service for Unix-based systems which works in the background reviewing such logs and appending the offending addresses into the hosts.deny file, thus avoiding brute-force attacks.

The following R snippet may be useful to quickly visualise a hosts.deny file with logs from DenyHosts. Such file may have comments (lines starting with #), and actual records are stored in the form <service>: <IP>. Therefore, read.table is more than enough to load it into R. The rgeolocate package is used to geolocate the IPs, and the counts per country are represented in a world map using rworldmap:

hosts.deny <- "/etc/hosts.deny"
db <- system.file("extdata", "GeoLite2-Country.mmdb", package="rgeolocate")
read.table(hosts.deny, col.names=c("service", "IP")) %>%
  pull(IP) %>%
  maxmind(db, fields="country_code") %>%
  count(country_code) %>% %>%
  joinCountryData2Map(joinCode="ISO2", nameJoinColumn="country_code") %>%
  mapCountryData(nameColumnToPlot="n", catMethod="pretty", mapTitle="Attacks per country")
## 74 codes from your data successfully matched countries in the map
## 2 codes from your data failed to match with a country code in the map
## 168 codes from the map weren't represented in your data

Then, you may consider more specific access restrictions based on IP prefixes…

Article originally published in Visualising SSH attacks with R.

To leave a comment for the author, please follow the link and comment on their blog: R – Enchufa2. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)