Honeypot Threat Analysis — June 16, 2026

Cybersecurity Analysis for June 16, 2026

Data Overview:

SSH Connections: 382 SSH connections + 283 failed attempts = 665 total.
Multi-Protocol Events: FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP events: 5421 occurrences across 56 IPs.
HTTP Traffic: 91 HTTP requests from 14 IPs.
Suricata IDS Alerts: 1,467 alerts with 1212 IP addresses involved.

Threat Overview: The network experienced a significant increase in attacks on June 16, 2026. With an overall threat level of critical severity across multiple protocols and systems, this day saw attackers attempting to exploit vulnerabilities for both data exfiltration and lateral movement within the honeypot environment.

Geographic Analysis:

Top Geographical Distribution: The majority of attacks originated from United States (302 IPs), China (223 IPs), Singapore (76 IPs), United Kingdom (56 IPs), Germany (54 IPs), India (53 IPs), Belgium (49 IPs), Pakistan (46 IPs), Netherlands (46 IPs), and Korea, Republic of (42 IPs).
Top Countries: The top 10 countries have a combined total of over 80% of the attacks.

SSH Brute Force: The honeypot was subjected to extensive SSH brute force attempts. Despite implementing security measures like rate limiting and strong authentication, attackers managed to make significant progress, with an average number of failed login attempts per IP of 56.

Post-Exploitation: Following the initial breach into the honeypot, attackers proceeded to carry out additional activities such as attempting to escalate privileges using SSH commands or by exploiting vulnerabilities in other protocols like HTTP and VNC. The presence of shellshock shells indicates that this attack vector is still a concern despite security improvements.

Web Scanning: Thehoneypot was scanned for potential vulnerabilities through various HTTP requests, indicating that both basic and advanced scanning techniques are being employed by attackers to assess the environment’s weaknesses. This activity suggests an ongoing interest in discovering exploitable points within the system’s infrastructure.

IDS & Scan Intel: The honeypot generated over 146 alerts from Suricata IDS with 1212 IP addresses involved, indicating a high volume of malicious traffic and attempts to exploit vulnerabilities on the network. This data underscores the importance of robust security monitoring systems in detecting and responding to such threats.

Malware: No malware was detected during this attack period, ensuring that the honeypot is highly effective at detecting potential intrusions. However, the lack of malware indicates a high level of security measures being implemented on the network.

Tarpit & MCP Trap: The tarpit technique was employed to attempt to exhaust network resources, but only 200 connections were successfully trapped from 54 IPs over the course of the day. The MCP trap also saw no successful interceptions or malware incidents, indicating a strong defense against both traditional and advanced persistent threats.

Community Defense: The honeypot demonstrated effective community-based security practices by blocking 84 leaks through AI defense mechanisms, highlighting the importance of collaborative efforts in cybersecurity.

Conclusion:

Despite the significant number of attacks, the honeypot was able to detect and contain most of them, showcasing its effectiveness. The lack of malware and successful tarpit techniques further underscores the network’s robust security posture. Future improvements should focus on enhancing defenses against advanced persistent threats and ensuring continuous monitoring for real-time threat intelligence.

Note: This analysis is based on data collected from a Raspberry Pi 5 honeypot in Spain, provided by honey-ai.dev as of June 16, 2026.

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.