Application Vulnerability Assessment (VA)

Automated Vulnerability Assessments are integral to a systematic and proactive approach to web security that reduces the risk associated with application level attacks (e.g. Cross-Site Scripting, SQL Injection) and ensuring compliance with relevant standards, laws & regulations.

Key activities include:

  • Leveraging an open-source or commercial application vulnerability assessment tool to discover known application security vulnerabilities; and,
  • Formal reporting on the process, gap analysis, relevant findings, and mitigation roadmap. Where possible the report will also include; root cause analysis, peer-group benchmarking, good practice benchmarking, executive summaries, and technical summaries.

The predominant benefits realized by an Application Vulnerability Assessment are:

  • Quickly identify configuration errors, default settings, coding errors, and patch management issues in an automated manner and economical fashion;
  • Capable of being run on automated, regular basis to provide baseline and ongoing vulnerability management metrics; and
  • Can be used to focus Application Penetration Testing activities on those areas of greatest concern.

Because Application Vulnerability Assessments are fully "tool-based" manual review of the findings by someone well versed in web application security is usually necessary to optimally leverage the output. 

Application Vulnerability Assessments are best used:

  • As a quick and inexpensive means of assessing the risk associated with an application that is in operation but has not recently gone through a broader Application Security Assessment;
  • As part of an ongoing vulnerability/configuration management program, especially in support of demonstration ongoing compliance with relevant standards/regulations;
  • To assess less critical applications (i.e. applications with a low risk profile) where the risk does not justify hands-on testing; and
  • As an information gathering mechanism to focus penetration testing or code reviews.