Vulnerability Assessment
Building on the fundamental knowledge and skills established in Chapter 1, this chapter explores using ChatGPT and the OpenAI API to assist with and automate many vulnerability assessment tasks.
Throughout this chapter, you’ll discover how to employ ChatGPT in creating vulnerability and threat assessment plans, a crucial part of any cybersecurity strategy. You’ll see how automating these processes using the OpenAI API and Python can offer even more efficiency, especially in environments with numerous network configurations or recurring planning needs.
Additionally, this chapter will delve into using ChatGPT in conjunction with the MITRE ATT&CK framework, a globally accessible knowledge base of adversary tactics and techniques. This fusion will enable you to generate detailed threat reports, providing valuable insights for threat analysis, attack vector assessment, and threat hunting.
You’ll be introduced to the concept of Generative Pre-training Transformer (GPT)-assisted vulnerability scanning. This approach simplifies some of the complexity of vulnerability scanning, transforming natural language requests into accurate command strings that can be executed in command-line interfaces (CLIs). This methodology is not only a time-saver but also enhances accuracy and understanding in performing vulnerability scans.
Lastly, this chapter will tackle the challenge of analyzing large vulnerability assessment reports. Using the OpenAI API in conjunction with LangChain, a framework designed to enable language models to assist with complex tasks, you’ll see how large documents can be processed and understood, despite the current token limitations of ChatGPT.
In this chapter, we will cover the following recipes:
- Creating Vulnerability Assessment Plans
- Threat Assessment using ChatGPT and the MITRE ATT&CK framework
- GPT-Assisted Vulnerability Scanning
- Analyzing Vulnerability Assessment Reports using LangChain
