Hermes AI Agent Used to Automate Attack on Thai Finance Ministry
A threat actor used the open-source Hermes AI agent in unattended mode to automate post-exploitation activity during an alleged breach of Thailand's Ministry of Finance. The attackers compromised multiple systems within the ministry's network, but the Ministry of Finance …
Intelligence analysis by Llama

Threat actors used the Hermes AI agent to automate an attack on Thailand's Ministry of Finance, compromising multiple systems within the ministry's network. The Ministry of Finance has not confirmed the breach.
Imagine a robot that can do tasks on its own without needing a person to tell it what to do. This is what happened in a recent cyberattack on Thailand's Ministry of Finance. The attackers used a tool called Hermes AI agent to automate the attack, which means the robot did the work without needing human approval. This is a concerning trend in cyberattacks, as it can cause real-world breaches even if unintentional.
Analysis
A Threat Actor's Tool of Choice: Hermes AI Agent
The Hermes AI agent is an open-source tool that can be used to automate various tasks, including post-exploitation activities. In this case, the threat actor used the agent in unattended mode to automate the attack on Thailand's Ministry of Finance. This allowed the agent to execute commands and continue analyzing systems without waiting for human approval at each step.
The use of Hermes AI agent in this attack is a concerning trend in the world of cyberattacks. Autonomous AI agents can cause real-world breaches even if unintentional, and they can be used to automate various tasks, including reconnaissance, credential theft, lateral movement, privilege escalation, and data encryption.
The Attack on Thailand's Ministry of Finance
The attack on Thailand's Ministry of Finance was a sophisticated one, involving the use of multiple tools and techniques. The attackers compromised multiple systems within the ministry's network, but the Ministry of Finance has not confirmed the breach. The attackers used a combination of tools, including exploit code, web shells, HTTP tunneling tools, custom scripts, stolen credentials, compiled payloads, and logs generated by the Hermes AI agent.
The Role of Hermes AI Agent in the Attack
The Hermes AI agent played a crucial role in the attack on Thailand's Ministry of Finance. The agent was used to automate post-exploitation activities, including finding a way to elevate privileges, scanning for kernel vulnerabilities, enumerating services, searching for SUID and SGID binaries, inspecting containers, and traversing file systems. The agent was also instructed to use a customized version of the LinPEAS privilege-escalation enumeration script to collect information from a Ministry of Finance host.
The Implications of the Attack
The attack on Thailand's Ministry of Finance highlights the growing threat of autonomous AI agents in cyberattacks. These agents can cause real-world breaches even if unintentional, and they can be used to automate various tasks, including reconnaissance, credential theft, lateral movement, privilege escalation, and data encryption. The use of Hermes AI agent in this attack is a concerning trend in the world of cyberattacks, and it highlights the need for organizations to be vigilant in their cybersecurity efforts.
Key points
- Threat actors used the Hermes AI agent to automate an attack on Thailand's Ministry of Finance.
- The attackers compromised multiple systems within the ministry's network.
- The Ministry of Finance has not confirmed the breach.
- The use of Hermes AI agent in this attack is a concerning trend in the world of cyberattacks.
- Autonomous AI agents can cause real-world breaches even if unintentional.
The use of autonomous AI agents in cyberattacks highlights the need for organizations to be vigilant in their cybersecurity efforts. This could lead to increased investment in AI-powered security tools and techniques, which could help to prevent future attacks.
The use of autonomous AI agents in cyberattacks also highlights the potential for real-world breaches even if unintentional. This could lead to significant financial and reputational damage for organizations that are not prepared to deal with these types of attacks.
Market signals
- XAU Escalation drives safe-haven demand for gold, per the article's framing of investor reaction.
AI-generated analysis of potential market relevance. Not financial advice.



