Threat Actors Exploring Large Language Models for Cyberattacks, Microsoft and OpenAI Report

Summary

This research, conducted by Microsoft and OpenAI, focuses on how nation-state actors and cybercriminals are using large language models (LLMs) in their attacks.

Key findings:

• Threat actors are exploring LLMs for various tasks: gathering intelligence, developing tools, creating phishing emails, evading detection, and social engineering.
• No major attacks using LLMs were observed: However, early-stage attempts suggest potential future threats.
• Several nation-state actors were identified using LLMs: Including Russia, North Korea, Iran, and China.
• Microsoft and OpenAI are taking action: Disabling accounts associated with malicious activity and improving LLM safeguards.

Specific examples:

• Russia (Forest Blizzard): Used LLMs to research satellite and radar technologies, and for basic scripting tasks.
• North Korea (Emerald Sleet): Used LLMs for research on experts and think tanks related to North Korea, phishing email content, and understanding vulnerabilities.
• Iran (Crimson Sandstorm): Used LLMs for social engineering emails, code snippets, and evading detection techniques.
• China (Charcoal Typhoon): Used LLMs for tool development, scripting, social engineering, and understanding cybersecurity tools.
• China (Salmon Typhoon): Used LLMs for exploratory information gathering on various topics, including intelligence agencies, individuals, and cybersecurity matters.

Additional points:

• The research identified eight LLM-themed TTPs (Tactics, Techniques, and Procedures) for the MITRE ATT&CK® framework to track malicious LLM use.