How To Delete Someone Else's Comment On Facebook – I love writing code. I do it a lot, both professionally and for fun. However, writing good code is a challenge. Writing functional, maintainable and secure code is hard. That’s why we need automation – to spot the problems we miss. Tools such as unit testing, code management or security testing allow us to detect problems and write better code.
Let’s use an example. I made a small sample application using .NET Core, my favorite language. I also made a container for us to play with.
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Now it’s time to ask – is this code a security problem? Can I publish it?
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You can try to answer this question by reading the code, or read along and learn what tools you can start using today to solve these problems. Two quick notes before we get started:
First of all, if you think this post is only for .NET Core developers – this is not true. I will discuss what kind of tests we can use, regardless of the language or platform used. Most of the tools I cover here are common – and if they’re not, I’ll also tell you what other tools are available.
Second, you can play with all the tools mentioned in the post. All of them were tested with sample applications. The readme contains all the information needed to run them. This is interactive – don’t just read about the tool, play with it. Feel the value it can give you.
In this article, I will discuss five types of security testing. You can read this post cover to cover or jump to the part that seems most interesting to you. The categories are:
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The first thing I want to automate is code review. Many security problems can be detected just by reading the code. The only problem – manual code reviews are expensive and require people with special skills. Let’s see how much we can automate this process.
One way to automate code review is to use static analysis tools. This is a tool that checks static resources (mostly code, but other assets such as configuration files) for various security issues. It is a really powerful tool when used correctly and can provide great value to the user. This tool is more powerful when combined with an IDE – here’s one of DevSkim’s usage examples:
I see static parsing warnings in my IDE when I code, although I do. Bug fixes at this stage are faster than fixes after the code is pushed. DevSkim works well: First, it gives you detailed information – what the problem is and how to solve it. Second, it can solve the problem for you. Writing secure code has never been easier. Want to see it live? This is an integral part of the Readme.
IDE integration is important, but not enough. It’s very difficult (in fact, almost impossible) to force developers to use a specific plugin, let alone force them to use a specific IDE. Using DevSkim in your IDE shouldn’t be your only protection – you should use it as part of your CI/CD pipeline. This ensures that even if a developer is not using DevSkim in the IDE, they still get the same warning – when the CI/CD build starts. DevSkim also has a command line version that can be used in CI/CD pipelines – you can find more about that here.
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All the power of static analysis comes from its rules engine – the rules define what to look for in the code. When choosing a static analysis tool, it should look for its rules engine – you want a tool that makes it easy for any developer in your company to customize the rules. The most important are validation (how I know when the rules are changed) and testing (how I can make sure the rules work). DevSkim does a great job here – the rules are on GitHub, and each rule has its own test.
Customizing a rule allows you to create specific rules for your work – as well as writing unit tests. It allows you to get the most out of this tool – customizing it to suit your needs. Be sure to check the rules before choosing a static analysis tool.
So how do you get started with static analysis? OWASP maintains a list of free and open source tools, so you can just go through the list, find a tool for your language, and play with it. Of course, there are also commercial tools like Checkmarx that you can use if you can buy a license.
Static analysis is a great tool, but it has one major drawback – it’s tied to a specific language. When you start using a new language, you need to make sure this tool supports it – or find a new language.
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Dynamic analysis, on the other hand, is not related to specific languages. Instead of scanning static assets, it focuses on dynamic assets created from live applications. For example, a web application that uses the HTTP protocol generates a unique response for each request. These requests and responses can be checked for security issues – as well as code scanning in static analysis. Another option is to send malicious requests to the web application to ensure that it can handle them and prevent the attack.
This is what makes dynamic analysis so powerful – it connects how the application works, not what it does. So, for example, as long as all your APIs use the HTTP protocol, you can use the same dynamic analysis tool. Language (or stack) changes happen a lot, protocol changes are rare (and have other effects).
So what can be used for dynamic analysis? I want to use OWASP Zaproxy, OWASP’s security tool. In short, Zap can be used to forward proxy requests and responses to your application and look for security issues (see my blog post for more details. After you’ve checked your application with Zap, you’ll see the generated report:
What I like most about Zap is how informative this tool is. You’ll have a good result that shows where the problem is (URL + method), what the problem is (description), and most often a possible solution (solution). It makes solving this problem much easier. Note that activity analysis can only show problems, not where the problem is. While static analysis tools can point to specific lines of code as the problem, dynamic analysis tools cannot. If you want to run it locally, check this part of the readme file.
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One last word about engine rules. Extending Zap with new rules is really simple (you can read about it in my post here). Rules are written in JavaScript, testable and committed to source control – providing a great experience for developers.
So how do you get started? I wrote a step-by-step guide documenting the entire process. Follow the instructions and feel free to contact us if you encounter any problems during the process.
Code scanning is important, but what packages does our code use? After all, we all want to use packages. Packages allow us to seamlessly use code written by others and complete the tasks we do faster. The package also contains security issues – this is code written by someone else – it may contain vulnerabilities. Or worse – there may be a weakness that someone other than me knows about. Vulnerabilities like this can be exploited by hackers (and if you don’t believe me, ask Equifax). In fact, this issue is part of the OWASP Top 10 – A9, which uses components with known vulnerabilities.
What can you do? Stopping the pack is not a practical recommendation (and could be worse). A more useful tip is to use packages carefully – with tools that check your packages for known vulnerabilities. The tool must do two things: (a) create a list of all dependencies (including transitive dependencies) and (b) check these dependencies for known vulnerabilities.
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The first part (creating a list of all dependencies) is pretty simple. The only tricky part is locking down version dependencies – without locking down a specific version of each package (including mutable dependencies), this list can’t be built properly. Unfortunately, not all languages support locking (for example, the .NET package manager, NuGet, does not yet support it). If you use such language, be sure to scan the package used by the manufacturer
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