Author Robert Collier said that "Success is the sum of small efforts repeated day in and day out." That's especially true when it comes to security. Poor maintainability contributed to Heartbleed. To make the case for how maintainable code contributes to security, I'll start with the Heartbleed ...
Author Robert Collier said that "Success is the sum of small efforts repeated day in and day out." That's especially true when it comes to security. By now we all understand that securing your systems isn't as simple as installing a firewall and calling it a day. Instead, it's multiple actions and strategies in concert, implemented consistently over time. And believe it or not, one small but important strategy is simply writing code that's reliable (bug-free) and maintainable (easy to understand). Yes, I know that sounds too simple, and possibly even self-serving. So in this post I'll lay out some of the evidence for how writing reliable and maintainable code means you're inherently writing more secure code.
To make the case for how maintainable code contributes to security, I'll start with the Heartbleed Bug. Remember that one? It was a serious vulnerability in OpenSSL that allowed attackers to steal sensitive information with a really trivial attack that XKCD illustrates beautifully. David A. Wheeler teaches a graduate course in secure development at George Mason University. He wrote an extensive analysis of the vulnerability. In it, he laid part of the blame on the difficulty of simply understanding the code involved: "Many of the static techniques for countering Heartbleed-like defects, including manual review, were thwarted because the OpenSSL code is just too complex. Code that is security-sensitive needs to be 'as simple as possible'."
When the Heartbleed Bug was eventually found, it was actually detected by human review rather than static analysis. It's worth noting explicitly here that the problem wasn't caught in peer review, but long after the merge by independent security researchers. In his analysis, Wheeler discusses why Heartbleed wasn't found sooner. "Little things like code formatting matter," he says, "since badly-formatted code is much harder for humans to review." Code Smell / Maintainability rules for things like code formatting and naming conventions are often dismissed as trivial, maybe because they're about things so foundational that people take them for granted. As Wheeler points out, that doesn't mean they're not important.
Wheeler suggests that attention to maintainability leads to more secure software, and continues that "The goal should be code that is obviously right, as opposed to code that is so complicated that I can’t see any problems." And of course, that's what Code Smell rules help you do - write code that's maintainable and easy to read so that it's possible for it to be "obviously right".
Of course, Wheeler's just one person, and opinions are like belly buttons, right? So let's look at another source: the CWE, which makes the case for both maintainability and reliability as contributors to security.
I want to start with the 2020 CWE Top 25 Most Dangerous Software Weaknesses, which is an expert-sourced subset of the CWE. But first, some background: CWE stands for Common Weakness Enumeration. It's a crowd- (of experts) sourced list of common software and hardware weaknesses that have "security ramifications". It has about 1,300 entries, including quite a few that are used for categorization. The Top 25 is a list of "the most common and impactful issues experienced over the previous two calendar years." Given this build-up it would be reasonable to assume that all 25 CWEs in the list describe security vulnerabilities. But by my count, nearly a third are bugs. Bugs that could lead to security breaches, but bugs nonetheless. For instance, lucky number 13 in the list is CWE-76, NULL Pointer Dereference.
In fact by one count, about 60% of CWEs aren't vulnerabilities at all. CWE-699 is the Software Development view. It "organizes weaknesses around concepts that are frequently used or encountered in software development". It contains 40 sub-categories, including Complexity Issues, Numeric Errors and Bad Coding Practices. Of the 59 leaf listings under Bad Coding Practices, the first is the beautifully emblematic CWE-478, Missing Default Case in Switch Statement.
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