Solution Providers for Retail
Guest blog by A.N. Ananth
Cybercrime and stealing credit cards has been a hot topic all year. From the Target breach to Sony, the classic motivation for cybercriminals is profit. So how much is a stolen credit card worth?
The reason it is important to know the answer to this question is that it is the central motivation behind the criminal. If you could make it more expensive for a criminal to steal a card than what the thief would gain by selling them, then the attackers would find an easier target. That is what being a hard target is all about.
This article suggests prices of $35-$45 for a stolen credit card depending upon whether it is a platinum or corporate card. It is also worth noting that the viable lifetime of a stolen card is at most one billing cycle. After this time, the rightful owner will most likely detect its loss or the bank fraud monitor will pick up irregularities and terminate the account.
Why is a credit card with a high spending limit (say $10K) worth only $35? It is because monetizing a stolen credit card is difficult and requires a lot of expensive effort on part of the criminal. That is contrary to popular press which suggest that cybercrime results in easy billions. At the Workshop on Economics of Information Security, Herley and Florencio showed in their presentation, “Sex, Lies and Cybercrime Surveys,” that widely circulated estimates of cybercrime losses are wrong by orders of magnitude.For example:
Far from being broadly-based estimates of losses across the population, the cyber-crime estimates that we have appear to be largely the answers of a handful of people extrapolated to the whole population. A single individual who claims $50,000 losses, in an N = 1000 person survey, is all it takes to generate a $10 billion loss over the popu- lation. One unverified claim of $7,500 in phishing losses translates into $1.5 billion. …Cyber-crime losses follow very concentrated distributions where a representative sample of the pop- ulation does not necessarily give an accurate estimate of the mean. They are self-reported numbers which have no robustness to any embellishment or exaggeration. They are surveys of rare phenomena where the signal is overwhelmed by the noise of misinformation. In short they produce estimates that cannot be relied upon.
That’s a rational, fact based explanation as to why the most basic of information security is unusually effective in most cases. Pundits have been screaming this from the rooftops for a long time. What are your thoughts?
Read more at Solution Provider for Retail guest blog.