Search Results for "analysis"

tfsec is a static analysis security scanner for your Terraform code. Designed to run locally and in your CI pipelines, developer-friendly output and fully documented checks mean detection and remediation can take place as quickly and efficiently as possible. tfsec takes a developer-first approach to scanning your Terraform templates; using static analysis and deep integration with the official HCL parser it ensures that security issues can be detected before your infrastructure changes take effect. ...

Designed to identify security issues, outdated packages, and potential compliance problems within container images, Docker Scout surfaces dependency vulnerabilities so you're protected. Docker Scout enhances your development process with detailed image analysis and proactive remediation tools. It integrates seamlessly with Docker Desktop and Docker Hub to improve your security and efficiency. Docker Scout’s local vulnerability analysis scans your images for potential security issues before they reach production. By detecting vulnerabilities early, it helps you ensure safer deployments and reduce the risk of security breaches in your applications.

Vuls is open-source, agent-less vulnerability scanner based on information from NVD, OVAL, etc. Vuls uses multiple vulnerability databases NVD, JVN, OVAL, RHSA/ALAS/ELSA/FreeBSD-SA and Changelog. Vuls v0.5.0 now possible to detect vulnerabilities that patches have not been published from distributors. Remote scan mode is required to only setup one machine that is connected to other scan target servers via SSH. If you don't want the central Vuls server to connect to each server by SSH, you...

Brakeman is a free vulnerability scanner specifically designed for Ruby on Rails applications. It statically analyzes Rails application code to find security issues at any stage of development. Brakeman now uses the parallel gem to read and parse files in parallel. By default, parallel will split the reading/parsing into a number of separate processes based on number of CPUs. In testing, this has dramatically improved speed for large code bases, around 35% reduction in overall scan time....