  The number of people accessing online services is increasing day by day, and
with new users, comes a greater need for effective and responsive
cyber-security. Our goal in this study was to find out if there are common
patterns within the most widely used programming languages in terms of security
issues and fixes. In this paper, we showcase some statistics based on the data
we extracted for these languages. Analyzing the more popular ones, we found
that the same security issues might appear differently in different languages,
and as such the provided solutions may vary just as much. We also found that
projects with similar sizes can produce extremely different results, and have
different common weaknesses, even if they provide a solution to the same task.
These statistics may not be entirely indicative of the projects' standards when
it comes to security, but they provide a good reference point of what one
should expect. Given a larger sample size they could be made even more precise,
and as such a better understanding of the security relevant activities within
the projects written in given languages could be achieved.
