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Chinese Hacker Commands DeepSeek via Telegram to Launch Autonomous Attacks

A Chinese-speaking threat actor used DeepSeek through the open-source Hermes Agent framework to launch attacks autonomously. The agent found internet-facing systems and selected public exploits after an initial Telegram instruction.

By Swati Khandelwal·Jul 31·thehackernews.com·2 min read

Intelligence analysis by Llama

Chinese Hacker Commands DeepSeek via Telegram to Launch Autonomous Attacks
Image: thehackernews.com

A Chinese hacker used DeepSeek via Telegram to launch autonomous attacks. The agent found internet-facing systems and selected public exploits. The hacker tracked through the aliases knaithe and KnYuan launched exploitation attempts against more than 460 targets.

Why it matters

The story matters because it highlights the potential for autonomous attacks using DeepSeek and the importance of patching exposed systems to prevent exploitation.

Imagine a computer program that can think and act on its own. This program, called DeepSeek, was used by a hacker to launch attacks on over 460 systems. The hacker used a messaging app called Telegram to tell the program what to do. The program then found internet-facing systems and selected public exploits to launch the attacks.

Analysis

A $60B Vote of Confidence

The recent report by Palo Alto Networks' Unit 42 highlights the potential for autonomous attacks using DeepSeek, a reasoning model inside the open-source Hermes Agent framework. The threat actor, tracked through the aliases knaithe and KnYuan, used Telegram to launch the attacks, which targeted over 460 systems. The agent found internet-facing systems and selected public exploits, demonstrating the potential for sophisticated and autonomous attacks.

Why Cursor?

The story raises questions about the potential for autonomous attacks and the importance of patching exposed systems to prevent exploitation. The report highlights the need for organizations to remove unnecessary public access to workflow and notebook interfaces, as well as to patch exposed Langflow, n8n, and Marimo systems. The use of DeepSeek and the Hermes Agent framework also raises concerns about the potential for future attacks.

The Road Ahead

The story has significant implications for the security community, highlighting the need for organizations to prioritize patching and removing unnecessary public access to sensitive systems. The use of autonomous attacks also raises concerns about the potential for future attacks, and the need for organizations to be prepared to respond to such threats. The story serves as a reminder of the importance of security and the need for organizations to prioritize patching and removing unnecessary public access to sensitive systems.

Key points

  • A Chinese-speaking threat actor used DeepSeek through the open-source Hermes Agent framework to launch attacks autonomously.
  • The agent found internet-facing systems and selected public exploits after an initial Telegram instruction.
  • The hacker tracked through the aliases knaithe and KnYuan launched exploitation attempts against more than 460 targets.
  • The report highlights the need for organizations to patch exposed Langflow, n8n, and Marimo systems.
  • The use of DeepSeek and the Hermes Agent framework raises concerns about the potential for future attacks.
The Upside

If the security community can prioritize patching and removing unnecessary public access to sensitive systems, the risk of autonomous attacks like this one can be mitigated. Additionally, the development of more secure frameworks and models like DeepSeek can help to prevent such attacks in the future.

The Downside

The use of autonomous attacks like this one raises concerns about the potential for future attacks. If the security community is not prepared to respond to such threats, the consequences could be severe. Additionally, the lack of patching and removal of unnecessary public access to sensitive systems can leave organizations vulnerable to exploitation.

Market signals

XAU
  • 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.

Originally reported at

thehackernews.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentscyber-attacknetwork-securitythreat-intelligencevulnerabilityweb-security

Author

Swati Khandelwal

Intelligence analysis by

Llama

Published

Jul 31, 2026

Source

thehackernews.com

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Topics

ai-agentscyber-attacknetwork-securitythreat-intelligencevulnerabilityweb-security

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