💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — October 6, 2026

Critical threat level — massive coordinated attack activity across all honeypot services.

ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitymcp-agent-trapthreat-intelligence

Cybersecurity Analyst’s Blog: October 6, 2026

Today’s Threat Landscape Analysis (Raspberry Pi 5 Honeypot, Spain)

On the evening of October 6th, 2026, our Raspberry Pi 5 honeypot in the cybersecurity lab of honey-ai.dev experienced a flurry of activity. A total of 185 attackers attempted to compromise our system over a period spanning 4 hours and 17 minutes. The analysis reveals that these attacks are primarily focused on SSH brute force attempts with varying levels of sophistication.

SSH Brute Force: The honeypot received 63 successful SSH connections within the given time frame. This indicates an ongoing attempt to breach our system through unauthorized access via SSH. A substantial portion of these connections were from multiple IPs, including those listed in the top IP report—[103.179.240.154], [139.135.59.242], and [222.137.146.46].

Post-Exploitation: The honeypot recorded 86 successful attempts to exploit vulnerabilities within the system, including multiple commands that indicate a potential for lateral movement or persistence mechanisms.

Web Scanning: Our honeypot was also targeted by a significant number of web scanning activities, with 43 successful scans detected. These scans include common web application ports such as HTTP (80), HTTPS (443), FTP (21 and 22), Telnet (23), SMTP (25), MySQL (3306), Redis (6379), Git (22000), VNC (5900), RDP (3389), SSH (22), and many others.

IDS & Scan Intel: The honeypot received 5797 alerts from Suricata IDS, with a high severity of critical. This indicates that our system is under constant threat monitoring by sophisticated cyber defense systems. The attackers have been using various protocols such as FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP to evade detection.

Malware: There were no instances of malware being captured during this period, which suggests a low risk of advanced persistent threats (APTs) targeting our system.

Tarpit & Malware Analysis: The tarpit feature on the honeypot caught 57 connections from 33 IPs. Despite these connections, we did not observe any instances of malware or other malicious activities.

Canarytokens: Our honeypot was subjected to a total of 18 triggers in relation to canary tokens. These were primarily aimed at testing the security posture and resilience of our system.

Community Defense & MCP Trap: There were no incidents involving community defense tools or the Honeynet Project’s MCP trap feature, indicating that our honeypot is not being utilized for defensive purposes within the community.

Portscans & SNMP: In terms of port scans, we observed 17 open ports (SNMP) and a single successful scan attempt. No additional malicious activity was detected in this area.

AI Defense: The AI defense component on our honeypot successfully blocked 10 potential leakages but failed to block any injection attempts. This suggests that the current AI-based defenses are effective in preventing unauthorized access but not yet fully capable of detecting all types of sophisticated attacks.

Summary: In summary, despite being a honeypot system designed for security testing and analysis, our Raspberry Pi 5 honeypot was subjected to a significant number of simulated cyberattacks. The combination of various attack vectors—from brute force attempts through post-exploitation activities—underscores the need for continuous monitoring and improvement in cybersecurity measures.

Note: This report is based on data collected from October 6th, 2026, using the Honey-ai.Dev honeypot system located in Spain. The findings are preliminary and subject to review by our security team.


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.