Honeypot Threat Analysis — June 23, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for 2026-06-23
Threat Overview
On June 23, 2026, a security analyst at honey-ai.dev identified 463 SSH connections to the honeypot system, along with 127 commands and 21 instances of multi-protocol (FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP) events. Additionally, there were 9247 alerts from the Suricata IDS, indicating a high level of malicious activity.
Geographical Analysis
The most active IPs on this day were “124.235.155.86”, “5.238.63.136”, and “218.245.1.252”. The majority of the attacks originated from the United States (520 IPs), followed by China (322 IPs). Other notable locations include the UK, Belgium, Singapore, Netherlands, India, Germany, Russian Federation.
Top Passwords and HTTP Paths
The most commonly used passwords were “4813494d137e1631”. The top HTTP paths included “/SDK/webLanguage”, “/manager/html”, “/.env”, “/.git/config”, and “/101”.
GeoIP Details
Total IPs: 2,158 United States (520): 24% China (322): 14% United Kingdom (100): 4% Belgium (92): 4% Pakistan (89): 4% Singapore (88): 4% Netherlands (82): 3% India (82): 3% Germany (77): 3% Russian Federation (61): 2%
Tarpit and Malware
No malware was captured during this period, indicating a clean tarpit environment. The number of trapped connections from 64 IPs indicates that the honeypot system is effectively blocking unauthorized access.
Backfire Scans and MCP Trap
8 backfire scans were detected, targeting IP addresses like 65.49.1.62, with open ports. There was no significant activity in the MCP trap section of the log.
AI Defense
The honeypot system is equipped with AI defense tools that successfully blocked 0 injections and leaks, indicating a strong defensive posture against cyber attacks.
Community Defense
No new community defenses were activated on this date. The system remains open-source for educational purposes, allowing researchers to contribute and improve the security measures of the honeypot.
Threat Overview (Continued)
SSH Brute Force: Despite the presence of AI defense tools, 91 connections were trapped due to SSH brute force attempts from various IP addresses. This highlights the importance of robust password management and multi-factor authentication in preventing unauthorized access.
Post-Exploitation: The honeypot was not compromised during this period, which is a positive sign for its effectiveness as a security testbed. However, it remains vigilant against potential intrusions and exploits that could be used to breach the system.
Web Scanning
The total number of HTTP requests logged is 132, with IPs from Singapore (88) being particularly active. This indicates ongoing monitoring and defense strategies are in place to prevent web-based threats.
IDS & Scan Intel
Suricata IDS reported a high number of alerts, indicating that the honeypot system is effectively detecting and blocking malicious activities. The low level of activity suggests that most detected threats have been handled within the expected parameters.
Malware
No malware was captured during this period, which is encouraging for the security posture of the honeypot.
Tarpit (Continued)
Trapped connections from 64 IPs are a testament to the system’s effectiveness in preventing unauthorized access and maintaining integrity. The low number of tarpits indicates that the system remains highly effective at blocking known threats.
MCP Trap
No significant activity was recorded on the MCP trap, suggesting that it is functioning as expected with no malicious attempts detected.
Portscans
The portscan section did not report any open ports, indicating a clean environment without potential vulnerabilities being exploited. This further confirms the effectiveness of the security measures in place.
AI Defense (Continued)
No new injection or leak was blocked during this period, demonstrating that the honeypot system is well-equipped to handle cyber threats and maintain its integrity.
Community Defense (Continued)
The absence of community defense tools indicates that the system relies on its own built-in security measures for protection against external threats. This is a strong indicator of the effectiveness of the system in mitigating known vulnerabilities.
Conclusion
On June 23, 2026, the honeypot system at honey-ai.dev demonstrated an active and well-managed environment. The presence of multiple IP addresses, high volume of HTTP requests, and effective tarpit mechanisms indicate that the system is functioning as intended. While there were no reported malware or significant security breaches during this period, it remains vigilant against potential threats and ready to respond to any future incidents.
This analysis serves as a valuable resource for other researchers and cybersecurity professionals looking to understand how such systems can be designed and maintained in a real-world scenario.
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.