djschleen / ash

A command line utility that calculates the Application Security Health Score (ASH) for any application.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

DepShield Badge

Application Security Health Score (ASH)

*** NOTE: This is a working POC but hasn't been tested at a massive scale ***

I've been looking for a replacement for Security Defect Density that can provide a more precise measurement of the security health of an application. Enter the Application Security Health Score (ASH) - a calculation providing a single number similar to a credit score to describe application security risk.

If you were a bank and your application was applying for a loan, would you give it one with a credit score of 70, or a score of 810?

Contributing

Contributions are definitely encouraged!. The scoring calculation has many TODO's that would be great to implement. Create a pull request and let's get more accurate in scoring

Build from Source

This application is built using go version 1.13. Ensure you are using a version of go that supports modules.

View module help with the following command:

go help modules

Additional help on using go modules can be found in a blog entry by Niraj Foneska on Medium.

Once the repository is cloned, run the following:

go build

Playing Around

The application can be run via Visual Studio Code with a few preconfigured launch configurations, or try the following:

ash calculate --identifiers CVE-2010-3333,CVE-2018-11776,CVE-2017-9791,CVE-2018-5407

This will give a sample health score for many high severity vulnerabilities (including Apache Struts) and one low vulnerability.

The following is a sample low vulnerability calculation:

ash calculate --identifiers CVE-2018-5407

The following is an example of various levels of low severity vulnerabilities:

ash calculate --identifiers CVE-2019-1563,CVE-2019-1549,CVE-2019-1547

About

A command line utility that calculates the Application Security Health Score (ASH) for any application.

License:Other


Languages

Language:Go 100.0%