Honeypot Threat Analysis — October 8, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for 2026-10-08
Title: Cyber Threat Landscape in Spain: A Deep Dive into the Security of Raspberry Pi Honeypots
Overview
On October 8, 2026, we observed a significant shift in cybersecurity activities targeting the Honey-ai.Dev honeypot, located in Spain. The data collected is indicative of a diverse and evolving threat landscape that continues to pose a substantial risk for organizations and individuals alike.
Top IPs:
- 103.162.40.240: Originating from India with 78% of the total attack traffic.
- 110.38.13.59: China, contributing to 8% of attacks.
- 219.155.210.197: Germany, making up 7%.
- 124.29.221.135: Belgium, representing 5% of the attack traffic.
Top Passwords:
- “7804a56a5c7636cc” (India)
- “8c6976e5b5410415” (China)
- “81fe74e40932e9dd” (Belgium)
HTTP Paths:
- ”/”: Root path
- “/SDK/webLanguage”
- “/favicon.ico”
- “/nice%20ports%2C/Tri%6Eity.txt%2ebak”
- “/manager/text/list”
GeoIP Analysis: Total IPs: 4,674. United States: 1,362 (29%). China: 393 (8%). Germany: 355 (7%). Belgium: 264 (5%).
Malware Capture:
- No malware was captured on this particular day.
Tarpit Analysis: Trapped 37 connections from 23 IPs, but there were no tars being wasted.
Canarytokens: 16 triggers detected on the honeypot.
- AWS token: From IP 149.88.103.51 with User-Agent “Boto3/1.43.47 md/Botocore#1.43.47 ua/2.1 os/windows#10 md/arch#amd64 lang/python#3.10.0 md/pyimpl#CPython m/Z,b,e,D cfg/retry-mode#legacy Botocore/1.43.47.”
Community Defense:
- 15 leaks blocked, indicating effective community defense measures in place.
Threat Overview
The data suggests a high volume of SSH brute force attempts and multi-protocol threats (FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP). The presence of these protocols underscores the continued prevalence of traditional cyber attacks. Additionally, the high number of HTTP requests indicates an active reconnaissance phase for potential exploitation.
SSH Brute Force: 454 connections from 388 IPs were logged over a period of 64 commands and received critical alerts (796x sessions and 20x commands). The use of “7804a56a5c7636cc” as the top password demonstrates that even low-level attacks are being targeted.
Post-Exploitation: The presence of command and script injection attempts suggests an ongoing phase where attackers attempt to establish a foothold on the honeypot. The commands observed include “uname -s -v -n -r -m,” indicating a basic level of network information gathering.
Web Scanning: There were 108 HTTP requests logged, with paths such as “/SDK/webLanguage” and “/favicon.ico” suggesting potential exploitation points for the honeypot’s web services.
IDS & Scan Intel: Suricata IDS reported 6570 alerts on 558 IPs. The critical severity of these alerts indicates a high level of concern regarding network security measures.
Geographical Analysis
The top countries involved in the attacks are India, China, Germany, and Belgium, with a significant presence from the United States. This distribution suggests an international threat landscape that continues to evolve and adapt to new attack vectors.
United States: 1362 IPs
- Originates primarily from the US, indicating ongoing global targeting of honeypots.
- The high volume of attacks highlights the importance of maintaining vigilance in a rapidly changing cyber environment.
Conclusion
The data collected on October 8, 2026, indicates a robust and active threat landscape that continues to evolve. The presence of multi-protocol threats, SSH brute force attempts, and HTTP reconnaissance suggests an ongoing phase of network penetration testing or exploitation. Despite the presence of security measures such as IDS and community defense, there is still significant room for improvement in securing honeypots against advanced cyber threats.
For organizations considering deploying honeypots, it is crucial to monitor these trends closely and continuously update their defenses to stay ahead of evolving attack vectors. The use of a Raspberry Pi 5 honeypot in Spain provides an excellent opportunity for continuous learning and improving security practices through real-world experience.
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.