We use Mend especially for code analysis. I work in the application security part of my company. Developers will build and push the code to the GitHub repository. We have a build server that pulls in the code, and we are using Jenkins to automate that to do the DevOps stuff.
Once the code is built, we create a product for that particular version on Mend. We are currently working with three different versions for our particular product. We have the products created on Mend via White Source, which has a configuration file and a back file that runs. The configuration files basically tell what parameters to use, which server URL to use, which files to ignore, and which files to use.
For example, if I just have to do Python, I can make changes in the configuration files in Excel to include just .py files and exclude all of the files. If I have to do Python and C++, I can make changes in the configuration file itself to make .py, .C++ and exclude all of those. Once that configuration file is ready, then we run a White Source back file that just connects to the server, contacts the configuration file as well, does the scan on all the files that are there in the project, the project being for, and then pushes it to Mend, our Mend page.
On our Mend page, once we go into the product page of it, we can see what libraries have been used by us and what have some vulnerabilities. We also can set policies on Mend. We set some policies for our organization to accept and reject. For each product, we also get the policy violations that the libraries go through and any new versions for any new libraries that are available on that library's parent page - the parent page being the official developers of the library. We can get the new versions as well. We get the licenses we use with the library, and most importantly, we get vulnerability alerts regarding every library we use in our code.
Once the code is pulled, scanned, and pushed, we get the UI. We go to the library alerts. Once we go to the library alerts, we can see the different severities and the different libraries with vulnerabilities. We normally just sort according to higher severity first and go down to lower severity. We check what can be ignored or what is acceptable and what cannot be ignored, and what is of high priority. Ones that are a high priority, we flag and create a ticket on JIRA. That's our platform for collaboration.
Once we create a ticket for JIRA, the developers can see it, the QA team can see it, and they will go through that as well. They can tell if the update or the upgrade of the library is possible or not. They'll check its compatibility and see if it's actually doable or not. If it's not doable, they'll just tell us it's not doable, and probably our next version of the application will have the changes - not this one. We term that as acceptable or within our domains of acceptance. However, daily, if a JIRA ticket is created, the developers get back to us saying yes or no. Mostly they can say yes to changing the library to upgrade the library. If it's upgraded, they upgrade it to the next version. We scan it again. We do a weekly scan. We'll just check the next week if that particular liability is upgraded and the vulnerability has been remediated.
The vulnerability analysis is the best aspect of the solution. It’s my main go-to.
We can't do static code analysis ourselves; it's manual. That's a lot of manual tasks to handle. It's close to impossible to do that. That was a lot for static code analysis of our projects, alerting on vulnerabilities whenever it's possible. Whenever there's a vulnerability available, Mend does that. It vulnerability analyst is a report as well with how many high vulnerabilities, how many medium, how many lows we got, and how many accepted or how many are without any vulnerabilities basically.
I see a lot of it is pretty good and has a high level of trust.
It’s stable and easy to set up.