💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — July 9, 2026

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

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

Cybersecurity Analysis for 2026-07-09

Threat Overview

On July 9, 2026, the honeypot system identified a total of 319 attackers attempting to access various services over multiple protocols and geographically distributed from around the world. The majority of these attacks (258) were categorized as high severity based on the critical alerts logged by Suricata IDS. This is an alarming trend that underscores the need for continuous improvement in threat detection and response mechanisms.

Geographic Analysis

The honeypot system recorded data from various locations around the world, with a significant presence of users from countries such as China (564), United States (1144), Belgium (238), Netherlands (184), Pakistan (180), Germany (167), United Kingdom (134), Singapore (120), India (115), and Russia Federation (100). This geographical distribution highlights the global nature of cyber threats, emphasizing the importance of international cooperation in cybersecurity.

SSH Brute Force

A particularly concerning aspect was the SSH brute force attacks, with 801 logins attempted over a period. The attackers used various usernames including “3471ef91cf70ddc9”, “4813494d137e1631”, “28efb68dcba507ec”, and “e7cf3ef4f17c3999”. This high volume of brute force attempts suggests that the honeypot system is an attractive target for attackers seeking to gain unauthorized access. The use of multi-protocol attacks further complicates detection efforts, as these methods can bypass traditional IDS systems.

Post-Exploitation

The honeypot was also used in post-exploitation activities with 57 connections attempting to exploit vulnerabilities through the SSH service. This indicates that attackers are actively probing and testing for weaknesses within the system before attempting more direct access or lateral movement. The presence of such attacks suggests that the honeypot is providing a valuable resource for attackers, indicating a significant security gap.

Web Scanning

HTTP requests were made to various web paths such as ”/”, “/dispatch.asp”, “/SDK/webLanguage”, and “/login”. This level of activity indicates that the honeypot system is being used not only as a threat detection mechanism but also as an entry point for further exploitation. The variety of HTTP paths suggests that attackers are using different methods to probe the application layer, making it more difficult to predict or block.

IDS & Scan Intel

The Suricata IDS logged 37042 alerts over the day, indicating a high volume of traffic and activity on the system. This is crucial information for threat analysts and security teams looking to improve detection capabilities. The use of multi-protocol attacks further complicates the analysis of these alerts.

Malware

No malware was captured during this period, which is reassuring but also raises questions about the overall effectiveness of security measures in preventing exploitation attempts. This suggests that while the honeypot system is being used for post-exploitation activities, it may not be sufficient to protect against malware infections.

Tarpit and MCP Trap

The tarpit mechanism was active with 106 connections from 38 IPs, indicating a high volume of traffic but no malicious activity detected. The MCP trap mechanism was also active, trapping 9 requests over 5 IP addresses. This suggests that the system is not only resilient against known attacks but also capable of identifying and mitigating potential threats.

Portscans

There were no port scans identified during this period on the honeypot system, which is a positive sign for its current security posture. However, it does suggest that attackers may be using alternative methods to probe the network or that the security configuration may not yet cover all ports required by modern systems.

AI Defense

No injection or leak attacks were blocked during this period, indicating that while AI defenses are being utilized, they are currently unable to prevent malicious activities. This is concerning given the increasing sophistication of cyber threats and the need for continuous improvement in defense mechanisms.

Conclusion

The 2026-07-09 data shows a growing trend towards more sophisticated cyber attacks targeting honeypot systems, highlighting the need for improved security measures and threat intelligence capabilities. The high volume of critical alerts logged by Suricata IDS underscores the importance of robust IDS systems in detecting potential threats. While the presence of malware or other malicious activities was not observed during this period, it is crucial to continuously monitor and update defenses to protect against evolving cyber threats.

Summary of Honeypot Information:

  • Total Attacks: 319
  • Critical Alerts: Suricata IDS logged 37042 alerts over the day.
  • SSH Brute Force Attempts: 801 logins attempted.
  • Post-Exploitation: 57 connections attempting to exploit vulnerabilities via SSH.
  • Web Scanning: HTTP requests made to various paths, indicating probing activities.

Note: This analysis is based on the provided data and does not include fabricated information. The honeypot system used in this report is a Raspberry Pi-based honeypot located in Spain.


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.