This article outlines a proof-of-concept for automating the collection and processing of Indicators of Compromise (IOCs) using Inoreader, Google Drive, and OpenAI’s GPT-4. The workflow aims to enhance the efficiency of Cyber Threat Intelligence (CTI), Incident Response (IR), and Security Operations Center (SOC) teams by transforming raw data into actionable insights. Affected: Cyber Threat Intelligence, Incident Response, Security Operations Center
Keypoints :
- Automation of repetitive tasks is essential for improving operational efficiency in cybersecurity.
- The tutorial demonstrates a pipeline to collect and process IOCs using Inoreader, Google Drive, and GPT-4.
- Requires a paid Inoreader subscription and an OpenAI ChatGPT API key.
- Emphasizes the importance of validating outputs from LLMs to avoid inaccuracies.
- Detailed steps for configuring Inoreader and Google Drive for automation.
- Python script provided to collect files from Google Drive and analyze them with OpenAI.
- Future enhancements include integrating with Obsidian Vault and MISP.
MITRE Techniques :
- T1071.001: Application Layer Protocol – Use of Google Drive API to automate file collection.
- T1203: Exploitation for Client Execution – Processing articles for IOCs using OpenAI’s GPT-4.
- T1046: Network Service Discovery – Gathering data from various cybersecurity sources.
Indicator of Compromise :
- [hash] 03d3e9c54028780d2ff15c654d7a7e70973453d2fae8bdeebf5d9dbb10ff2eab
- Check the article for all found IoCs.