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R lacks some of the more “utilitarian” features found in other scripting languages that were/are more geared—at least initially—towards systems administration. One of the most frustrating missing pieces for security data scientists is the lack of ability to perform basic IP address manipulations, including reverse DNS resolution (even though it has nsl() which is just glue to gethostbyname()!).

If you need to perform reverse resolution, the only two viable options available are to (a) pre-resolve a list of IP addresses or (b) whip up something in R that takes advantage of the ability to perform system calls. Yes, one could write a C/C++ API library that accesses native resolver routines, but that becomes a pain to maintain across platforms. System calls also create some cross-platform issues, but they are usually easier for the typical R user to overcome.

Assuming the dig command is available on your linux, BSD or Mac OS system, it’s pretty trivial to pass in a list of IP addresses to a simple sapply() one-liner:

resolved = sapply(ips, function(x) system(sprintf("dig -x %s +short",x), intern=TRUE))

That works for fairly small lists of addresses, but doesn’t scale well to hundreds or thousands of addresses. (Also, @jayjacobs kinda hates my one-liners #true.)

A better way is to generate a batch query to dig, but the results will be synchronous, which could take A Very Long Time depending on the size of the list and types of results.

The best way (IMO) to tackle this problem is to perform an asynchronous batch query and post-process the results, which we can do with a little help from adns (which homebrew users can install with a quick “brew install adns“).

Once adns is installed, it’s just a matter of writing out a query list, performing the asynchronous batch lookup, parsing the results and re-integrating with the original IP list (which is necessary since errant or unresponsive reverse queries will not be returned by the adns system call).

#pretend this is A Very Long List of IPs
ip.list = c("1.1.1.1", "2.3.4.99", "1.1.1.2", "2.3.4.100", "70.196.7.32", 
  "146.160.21.171", "146.160.21.172", "146.160.21.186", "2.3.4.101", 
  "216.167.176.93", "1.1.1.3", "2.3.4.5", "2.3.4.88", "2.3.4.9", 
  "98.208.205.1", "24.34.218.80", "159.127.124.209", "70.196.198.151", 
  "70.192.72.48", "173.192.34.24", "65.214.243.208", "173.45.242.179", 
  "184.106.97.102", "198.61.171.18", "71.184.118.37", "70.215.200.159", 
  "184.107.87.105", "174.121.93.90", "172.17.96.139", "108.59.250.112", 
  "24.63.14.4")
 
# "ips" is a list of IP addresses
ip.to.host <- function(ips) {
  # save out a list of IP addresses in adnshost reverse query format
  # if you're going to be using this in "production", you *might*
  # want to consider using tempfile() #justsayin
  writeLines(laply(ips, function(x) sprintf("-i%s",x)),"/tmp/ips.in")
  # call adnshost with the file
  # requires adnshost :: http://www.chiark.greenend.org.uk/~ian/adns/
  system.output <- system("cat /tmp/ips.in | adnshost -f",intern=TRUE)
  # keep our file system tidy
  unlink("/tmp/ips.in")
  # clean up the result
  cleaned.result <- gsub("\\.in-addr\\.arpa","",system.output)
  # split the reply
  split.result <- strsplit(cleaned.result," PTR ")
  # make a data frame of the reply
  result.df <- data.frame(do.call(rbind, lapply(split.result, rbind)))
  colnames(result.df) <- c("IP","hostname")
  # reverse the octets in the IP address list
  result.df$IP <- sapply(as.character(result.df$IP), function(x) {
    y <- unlist(strsplit(x,"\\."))
    sprintf("%s.%s.%s.%s",y[4],y[3],y[2],y[1])
  })
  # fill errant lookups with "NA"
  final.result <- merge(ips,result.df,by.x="x",by.y="IP",all.x=TRUE)
  colnames(final.result) = c("IP","hostname")
  return(final.result)
}
 
resolved.df <- ip.to.host(ip.list)
head(resolved.df,n=10)
 
                IP                                   hostname
1          1.1.1.1                                       <NA>
2          1.1.1.2                                       <NA>
3          1.1.1.3                                       <NA>
4   108.59.250.112      vps-1068142-5314.manage.myhosting.com
5   146.160.21.171                                       <NA>
6   146.160.21.172                                       <NA>
7   146.160.21.186                                       <NA>
8  159.127.124.209                                       <NA>
9    172.17.96.139                                       <NA>
10   173.192.34.24 173.192.34.24-static.reverse.softlayer.com

If you wish to suppress adns error messages and any resultant R warnings, you can add an “ignore.stderr=TRUE” to the system() call and an “options(warn=-1)” to the function itself (remember to get/reset the current value). I kinda like leaving them in, though, as it shows progress is being made.

Whether you end up using a one-liner or the asynchronous function, it would be a spiffy idea to setup a local caching server, such as Unbound, to speed up subsequent queries (because you will undoubtedly have subsequent queries unless your R scripts are perfect on the first go-round).

If you’ve solved the “efficient reverse DNS query problem” a different way in R, drop a note in the comments! I know quite a few folks who’d love to buy you tasty beverage!

You can find similar, handy IP address and other security-oriented R code in our (me & @jayjacobs’) upcoming book on security data analysis and visualization.

2 Comments

  1. Hi Bob,

    nice idea – i posted a slightly simplified version (but with persistent caching) at
    http://analytx.info/2015/01/cached-asychronous-ip-resolving/
    and also worked a bit on improving the data.table usage in your Rmaxmind example, which should be ready soon.

    Let me know, if you are interested…
    Did you already turn this into a proper R package?

    Cheers, Dirk


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