vPrioritizer : Tool To Understand The Contextualized Risk (vPRisk)

As indicated by sources like vulndb & cve, on a daily basis, approximately 50 new vulnerabilities become known to industry and it’s safe to assume that count is going to increase furthermore. It’s a huge number of vulnerabilities to assess and remediate effectively and quickly. So today organizations are focusing (or should focus) on reducing the risk rather than eliminating it and vulnerability management is (almost) equal to risk prioritisation and risk is a variable and dynamic concept determined by multiple factors.

Theoretically, the approach of considering factors like base CVSS, asset accessibility, criticality, exploit availability, business sensitivity etc. looks appropriate to adopt but it’s not practically possible to do it manually for every vulnerability affecting every asset by every organization.

Goals & Philosophy

To overcome above challenges, vPrioritizer is designed with primary objectives as below:

  • Centralized – must serve as single-pane-of-glass for vulnerability management
  • Automated – any and every task which can be automated, must be automated
  • Community Analytics – utilization of community analytics to mature the prioritization algorithm over the period of time

How It Works?

vPrioritizer gives us ability to assess the risk on different layers such as (and hence comprehensive control on granularity of each of risk as described above in risk calculation section):

  • We can assign significance on per asset basis
  • We can assess severity on per vulnerability basis
  • At the same time, we can adjust both factors at asset & vulnerability relationship level
  • On top of that, community analytics provides insights as suggested risk

vPrioritizer enables us to understand the contextualized risk pertaining to each asset by each vulnerability across the organization. It’s community based analytics provides a suggested risk for each vulnerability identified by vulnerability scanners and further strengthens risk prioritization process. So at any point of time teams can make an effective and more informed decision, based on unified and standardized data, about what (vulnerability/ties) they should remediate (or can afford not to) and on which (asset/s).

QuickStart

  • For Linux users:
  • For Windows & Mac Users

DEMO

R K

Recent Posts

Install Pip on Ubuntu 18.04: Python 3 and Python 2 Setup Guide

Pip is the official package manager for Python and the standard way to install libraries from…

3 days ago

Install R on Ubuntu 18.04 from CRAN: Statistical Computing Setup

R is an open-source programming language and environment built for statistical computing and data visualization. It…

3 days ago

Install Jenkins on Ubuntu 18.04: CI/CD Server Setup Guide

Jenkins is an open-source automation server that makes it easy to build CI/CD pipelines. Continuous integration…

3 days ago

Install Android Studio on Ubuntu 18.04 with Snap and OpenJDK 8

Android Studio is the official IDE for Android development, built on JetBrains' IntelliJ IDEA platform. It…

3 days ago

Install and Configure GitLab on Ubuntu 18.04 with Omnibus

GitLab is a web-based, open-source Git repository manager written in Ruby. It includes built-in tools for…

3 days ago

Install Anaconda on Ubuntu 18.04: Python Data Science Setup Guide

Anaconda is the most widely used Python distribution for data science and machine learning. It bundles…

4 days ago