New viridis & colorbrewer palettes for ipv4-heatmap

It’s no seekrit that I :heart: Hilbert curve heatmaps of IPv4 space. Real-world IPv4 maps (i.e. the ones that drop dots on the Earth) have little utility, but with Hilbert curves maps of IPv4 space many different topologies can be superimposed (from ASNs to—if need be—geographic locations). Plus, there’s more opportunity to find patterns by… Continue reading

Clandestine DNS lookups with gdns

Google recently [announced](https://developers.google.com/speed/public-dns/docs/dns-over-https) their DNS-over-HTTPS API, which _”enhances privacy and security between a client and a recursive resolver, and complements DNSSEC to provide end-to-end authenticated DNS lookups”_. The REST API they provided was pretty simple to [wrap into a package](https://github.com/hrbrmstr/gdns) and I tossed in some [SPF](http://www.openspf.org/SPF_Record_Syntax) functions that I had lying around to bulk it… Continue reading

iptools 0.3.0 (“Violet Packet”) Now on CRAN with Windows Support!

`iptools` is a set of tools for working with IP addresses. Not just work, but work _fast_. It’s backed by `Rcpp` and now uses the [AsioHeaders](http://dirk.eddelbuettel.com/blog/2016/01/07/#asioheaders_1.11.0-1) package by Dirk Eddelbuettel, which means it no longer needs to _link_ against the monolithic Boost libraries and *works on Windows*! What can you do with it? One thing… Continue reading

Moving From system() calls to Rcpp Interfaces

Over on the [Data Driven Security Blog](http://datadrivensecurity.info/blog/posts/2014/Apr/making-better-dns-txt-record-lookups-with-rcpp/) there’s a post on how to use `Rcpp` to interface with an external library (in this case `ldns` for DNS lookups). It builds on [another post](http://datadrivensecurity.info/blog/posts/2014/Apr/firewall-busting-asn-lookups/) which uses `system()` to make a call to `dig` to lookup DNS `TXT` records. The core code is below and at both… Continue reading

Using Twitter as a Data Source For Monitoring Password Dumps

I shot a quick post over at the [Data Driven Security blog](http://bit.ly/1hyqJiT) explaining how to separate Twitter data gathering from R code via the Ruby `t` ([github repo](https://github.com/sferik/t)) command. Using `t` frees R code from having to be a Twitter processor and lets the analyst focus on analysis and visualization, plus you can use `t`… Continue reading