Honeypot Threat Analysis — August 27, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for 2026-08-27
Overview:
On August 27, 2026, the Raspberry Pi 5 honeypot in Spain experienced an influx of nearly 142 reported abuse IPs and encountered a total of 9388 critical alerts from various protocols. The SSH brute force was particularly prominent with 631 conn/295 logins and 322 cmd/27 IPs, followed by HTTP with 38 requests from 24 IPs. Suricata IDS generated 9388 alerts on 603 IPs. Malware detections were absent, but the abuse IPDB reports identified a significant number of suspicious activity.
Top IPs and Geographical Analysis:
The top five most active IPs were located in United States (455), China (92), Germany (68), United Kingdom (57), and Belgium (56). The geographical distribution suggests an international nature of the attack, but with a strong presence from Western European countries. This trend is indicative of both legitimate traffic and malicious activity.
Top Passwords:
The most commonly used passwords were “4813494d137e1631” (SSH) and “8c6976e5b5410415” (HTTP). These patterns can be indicative of pre-calculated lists or well-known password dictionaries, potentially indicating a targeted attack.
HTTP Paths:
The top HTTP paths accessed were ”/”, “/login”, “/dispatch.asp”, “/hachk.php”, and “/SDK/webLanguage”. This suggests that the honeypot is being used for reconnaissance purposes, possibly by scanning specific directories to understand the structure of the system. The presence of a web language detection script indicates an attempt to analyze the HTTP responses.
Malware:
No malware was captured on this day, indicating a clean environment despite the high alert count from IDS and abuse IPs. This suggests that while the honeypot is active, it has not been compromised or exploited by malicious actors in recent days.
Tarpit and MCP Trap:
90 connections were trapped from 44 IPs, and there was no wasted time on tarpitting activities. The MCP trap reported two requests with a low volume of data (20/17), which is below the threshold for further investigation. There were no tools or malware detected by these traps.
AI Defense:
No injection attacks were blocked, nor any leaks were detected in the environment. This indicates that while there was some activity, it did not involve common attack vectors targeting web applications.
Community Defense:
The honeypot is deployed on an open-source basis with the Raspberry Pi 5 hardware and Python scripts for analysis and defense. The community support for this project shows interest in continuous improvement and adaptation to modern security threats.
Conclusions:
This cybersecurity blog highlights a mixed scenario involving legitimate traffic, targeted reconnaissance efforts, and a low incidence of malicious activity. The honeypot is effective in detecting SSH brute force attempts but has not been compromised by malware or exploited for further unauthorized access. The analysis suggests that the environment remains relatively clean, making it an ideal platform for educational purposes as well as defensive training exercises.
The project’s open-source nature underscores its value to cybersecurity professionals seeking to understand and mitigate threats without compromising their own systems.
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.