I use Trivy in pipelines to scan for vulnerabilities in our code, container systems, and documents. This helps me address any issues I find with the suitable developer who has worked on it.
Framework Engineer at a tech services company with 1,001-5,000 employees
Customize vulnerability scanning with ease and offers a straightforward setup process
Pros and Cons
- "It's customizable, allowing me to add any rules and format HTML templates as I wish."
- "One of the great features of Trivy is that it helps me scan items such as AWS credentials and GCP service accounts."
- "Trivy can improve by providing an output in PDF format."
- "Trivy can improve by providing an output in PDF format. Additionally, it takes longer to scan container images built with many layers."
What is our primary use case?
What is most valuable?
One of the great features of Trivy is that it helps me scan items such as AWS credentials and GCP service accounts. It's customizable, allowing me to add any rules and format HTML templates as I wish. The setup process of implementing Trivy in my pipelines was straightforward, taking no more than ten minutes.
What needs improvement?
Trivy can improve by providing an output in PDF format.
Additionally, it takes longer to scan container images built with many layers. The exporting options could be better, including integration with AWS or GCP. Many open issues in GitHub could be addressed to avoid bugs and ensure a stable environment.
For how long have I used the solution?
I've been working with the Trivy solution for eight to ten months.
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What do I think about the stability of the solution?
Trivy is quite stable compared to other tools.
What do I think about the scalability of the solution?
Trivy is not scalable if I need to scan 50 or 100 resources at once. While scalable for file system scans, it's not suitable for scanning multiple container images at once.
How are customer service and support?
Being open source, I've raised issues on GitHub, and they were taken up quickly. However, it takes some time to implement changes and bring them into the stable version. They usually suggest opting for the enterprise version for personalized issues.
Which solution did I use previously and why did I switch?
I shortlisted Snyk and DockerBank Security, however, Trivy turned out to be better, mainly because it is open source and scans file systems and container systems, including Kubernetes clusters.
How was the initial setup?
The initial setup was very straightforward and easy, taking less than ten minutes.
What about the implementation team?
I handled it myself using the Azure pipeline and CLI.
Which other solutions did I evaluate?
I shortlisted Snyk and DockerBank Security.
What other advice do I have?
I would definitely recommend Trivy to others looking for an open-source file system scanner, Kubernetes cluster scanner, or container image vulnerability scanner. However, for someone with the budget, Trivy's scalability may be an issue.
Overall, I rate Trivy eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Cybersecurity & DevSecOps Lead at WhizAI
Enables efficient integration with seamless vulnerability detection
Pros and Cons
- "Trivy is easy to integrate with CI/CD and can be installed on desktops to scan images."
- "The only problem is that Trivy does not support reporting features such as generating reports in CSV, which is useful for auditing and reporting."
What is our primary use case?
I use Trivy for CICD and container scanning.
What is most valuable?
Trivy is easy to integrate with CI/CD and can be installed on desktops to scan images. It helps with all configurations, including scanning of images and file systems, and even detecting secrets, not just vulnerabilities. It is very lightweight, requiring minimal effort to get it working. Trivy catches most vulnerabilities quickly because it does not take time to scan anything.
What needs improvement?
The only problem is that Trivy does not support reporting features such as generating reports in CSV, which is useful for auditing and reporting.
Additionally, Trivy should work as a Software Composition Analysis tool. If Trivy could do this, it would be great.
For how long have I used the solution?
I have been working with Trivy for more than four years.
What do I think about the stability of the solution?
I find Trivy to be stable.
What do I think about the scalability of the solution?
I do not have to scale Trivy itself. I have to scale the part or the tool that is scanning the images. Each instance is a complete system that can scan as many images as are passed through that scanning stage.
How are customer service and support?
We are using the open source community, so we do not need customer service support. If anything happens, we go on GitHub to find a solution.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We have been using Trivy from the beginning. We also have another scanner, New Vector, but our primary scanner is Trivy.
How was the initial setup?
The initial setup is straightforward, not just for me, but also for other developers who find it easy to set up and run. We installed Trivy in the container and used it for scanning other images. The setup process is quick and takes approximately five minutes.
Which other solutions did I evaluate?
We tried QEscape and some other new solutions, however, we settled with Trivy. I am not sure about money savings. I have not explored any other commercial software.
What other advice do I have?
Trivy is a Swiss knife. I recommend it because it is easy to integrate and provides quick results.
On a scale of one to ten, I rate it nine out of ten for vulnerability scanning.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
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