Honeypot Threat Analysis — September 27, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for 2026-09-27
Threat Overview
The security analytics for September 27, 2026, reveal a significant uptick in potential threats and vulnerabilities within the Raspberry Pi 5 honeypot environment. The total number of attackers identified is approximately 458, with an average of around 11 attackers per day over this period.
Geographic Analysis
The geographical distribution of attackers highlights a diverse landscape:
- United States: 887 (28%)
- China: 257 (8%)
- Germany: 242 (7%)
- United Kingdom: 151 (4%)
- Belgium: 130 (4%)
- Pakistan: 119 (3%)
- Netherlands: 111 (3%)
- Korea, Republic of: 104 (3%)
- India: 104 (3%)
These regions indicate a global distribution but with a particular focus on the United States and China.
SSH Brute Force
SSH connections to port 547 were detected in 5 out of 454 logins, suggesting an active attempt. This indicates that attackers are trying to gain unauthorized access through this specific port, possibly for reconnaissance or other malicious activities.
Post-Exploitation Activities
The presence of “MCP trap” and “TARPIT” suggests a post-exploitation phase where attackers have attempted to evade detection by the honeypot. This tactic is common in advanced persistent threat (APT) scenarios, indicating that defenders need to be vigilant against such sophisticated tactics.
Web Scanning
HTTP requests targeting multiple paths suggest an ongoing scanning activity aimed at identifying vulnerabilities or weaknesses within the environment. The specific HTTP paths include ”/”, “/login”, “/favicon.ico”, “/SDK/webLanguage”, and “/tmUnblock.cgi”.
IDS & Scan Intel
The high number of events logged by Suricata Intrusion Detection System (IDS) alerts (12635/619 IPs) indicates a significant amount of activity detected. The “Critical” severity level suggests that these detections are severe and require immediate attention.
Malware
No malware was captured today, which is reassuring but still indicates ongoing potential threats within the environment.
Tarpit
Despite being trashed by 51 connections from 27 IPs, there were no instances of attackers abusing this opportunity to evade detection. This suggests that even though tarpitting might be an effective tactic, it hasn’t been used effectively or frequently enough to cause substantial damage.
Canarytokens
The presence of “canarytokens” triggers indicate a potential attempt at using these tokens in various tools and scripts. The specific token provided is from the IP address 172.86.112.198, indicating it might be part of an ongoing campaign targeting this IP.
MCP Trap
The low number of requests (10/3 IPs) to the MCP trap tool suggests that these connections were likely benign or possibly unrelated to any known security incidents. The lack of open targets further indicates a less active status for this tactic.
Portscans
No port scans were detected today, which is expected given the nature of the honeypot setup where traffic is minimal and directed towards specific ports like SSH.
AI Defense
The “AI defense” rule was blocked 10 times, indicating that attempts to inject malicious payloads into the environment via the API or other intelligent tools have been thwarted. This suggests a robust security posture against automated attacks leveraging artificial intelligence.
Community Defense
Community defense rules were not triggered today, suggesting that attackers did not attempt any known community-based exploits.
Summary and Outlook
The findings for September 27, 2026, highlight the need for continuous vigilance in cybersecurity practices. The diversification of threats from around the world underscores the importance of regional-specific security measures. Continuous monitoring and updating threat intelligence will be crucial to protecting against new and evolving cyber threats.
This analysis serves as a baseline for future security reviews, providing insights that can guide improvements in honeypot setup, intrusion detection systems, and overall cybersecurity practices in open-source environments like Raspberry Pi 5.
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.