💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — October 7, 2026

Critical threat level — massive coordinated attack activity across all honeypot services.

ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitymcp-agent-trapthreat-intelligence

Cybersecurity Analysis for 2026-10-07

Monday, October 7th, 2026

Introduction

In the digital age, cybersecurity is more crucial than ever. Today’s analysis highlights notable trends and insights into potential threats faced by our honeypot system located in Spain using a Raspberry Pi 5.

Threat Overview

The honeypot experienced significant activity with total attackers exceeding 180, indicating high demand for security testing and exploitation efforts. The IP addresses involved in multiple protocols (FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP) suggest a wide variety of attack techniques being employed.

Geographical Analysis

The honeypot was primarily targeted by users from the United States (28%) and China (8%). Other notable locations include Germany, the UK, Belgium, Pakistan, Netherlands, Korea, India, Hong Kong, and Spain. This distribution indicates that both national security concerns as well as global cyber threats are being assessed.

SSH Brute Force

SSH brute force attacks continued to be a common threat with 650 successful connections out of 269 attempts. The use of multi-protocol access (FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP) indicates that attackers are trying various methods to bypass security measures.

Web Scanning

A total of 114 IP addresses attempted HTTP requests, with paths including “/sdk/webLanguage”, “/favicon.ico”, and others. This suggests potential for web application vulnerabilities being exploited through a variety of front ends.

IDS & Scan Intel

The Suricata Intrusion Detection System reported 6293 alerts from 608 IPs, with a critical severity level indicating high activity in the network defense environment.

Malware Capture and Backfire Scans

Despite efforts to trap attackers’ connections, no malware was successfully captured. However, backfire scans were not detected either, suggesting that security measures remain effective in intercepting malicious activities.

Tarpit Activity

Tarpitting of 212 connections from 85 IPs was observed but with no wasted time noted. This indicates the honeypot system is effectively managing and monitoring these attacks without significant downtime or resource waste.

Canarytokens

Canarytokens were detected, indicating potential abuse attempts. The AWS token used by Go-http-client/1.1 suggests a targeted attack method where attackers are using automated tools to bypass security protocols. Similarly, 91.200.212.202 and 167.248.115.24 were detected with botnet-related user agents.

MCP Trap

The MCP trap was observed with 11 requests from 5 IPs, suggesting that attackers are trying to test the boundaries of security measures by attempting to exploit vulnerabilities in various tools used for network management and monitoring.

Portscans and MSSQL/ SNMP

There were no reported portscans or SNMP activity, indicating a low risk of such attacks. This suggests that while certain types of attack vectors remain possible, modern defenses are effective against them.

Conclusion

The honeypot system in Spain experienced significant cyber threats from various IP locations with critical alerts and tarpit attempts. Despite the presence of multiple potential attack vectors, the honeypot is effectively managed through tarpitting and other defensive measures. Further improvement may be needed to address less common but still viable threat methods such as backfire scans and botnet-related attacks.

Note:

  • This analysis is based on data collected between October 7th, 2026, at 14:30 UTC.
  • The Raspberry Pi 5 honeypot system used in this setup operates under an open-source license for educational and defensive purposes.

This analysis was generated by qwen2.5:1.5b running locally on the Raspberry Pi 5 honeypot lab. All data comes from real attacks captured in the last 24 hours by HoneyAI. View the raw data report for complete metrics.