Honeypot Threat Analysis — October 3, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
2026-10-03 Honey-AI Dev Blog
Overview: In today’s cybersecurity landscape, our honeypot has encountered a significant influx of traffic across various protocols and HTTP paths. With over 177 attackers identified, the focus shifts to understanding their motives and securing against potential breaches.
Geographic Analysis: The majority of attacks originated from North America (United States: 28%) followed by China (8%), Germany (7%), Belgium (5%), United Kingdom (5%), Pakistan (4%), Netherlands (3%), Korea Republic (3%), India (3%), Hong Kong (2%), and the Philippines. This distribution underscores the global nature of cyber threats, making it crucial to monitor all regions.
SSH Brute Force: Of the 150 commands attempted during SSH connections, numerous failed attempts were made using common passwords like “1af4cfa0ae8cb48c”, “123321”, and “1234”. Additionally, attackers utilized multi-protocol methods such as Telnet (3148 events/108 IPs), FTP (51 req/26 IPs) to further complicate security measures.
Web Scanning: The HTTP paths “/login”, “/hachk.php”, and “/SDK/webLanguage” indicate a high volume of users attempting to authenticate or access various services. This suggests that the honeypot may be serving as an entry point for attackers seeking to exploit vulnerabilities within web applications.
IDS & Scan Intel: Suricata IDS detected 5391 alerts from 522 IPs, with critical severity indicating a high level of threat activity. The large volume of events highlights the importance of continuous monitoring and updating security measures against emerging threats.
Malware Capture: Despite no malware being reported today, this does not negate the need for comprehensive defense strategies to prevent infections. Regular updates on malware signatures are essential to protect systems from newly discovered threats.
Tarpit & Malware Analysis: The tarpit method used by attackers is a common tactic to prolong detection of their activities. However, no malware was detected today, suggesting that while tarpitting may slow down attackers, it does not necessarily mean they will be unable to initiate malicious actions.
Canarytokens: 27 triggers indicating the presence of known backdoor tokens suggests that attackers are attempting to bypass security measures by using common methods like PowerShell and Boto3. This underscores the importance of robust authentication mechanisms to prevent unauthorized access.
MCP Trap & Portscans: The MCP trap method used in our honeypot is an effective technique for securing against tarpit attempts, as it alerts when users are attempting to connect from compromised IP addresses. There were no successful port scans today, indicating a high level of security implementation.
AI Defense Analysis: Our AI defense system successfully blocked 15 leaks but only 0 injection attacks, suggesting that while AI tools can be effective, they need to complement traditional security measures for comprehensive protection.
Conclusion
Our honeypot has been resilient against the onslaught of traffic in October 2026. The high volume of attackers and their varied methods highlight the ongoing importance of staying vigilant and implementing robust security practices. Continuous monitoring and updating security protocols are crucial to maintaining a secure environment, especially as new threats emerge.
Note: Honey-AI Dev / Raspberry Pi 5 honeypot, Spain. // Cybersecurity Analyst
End of Report
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.