Honeypot Threat Analysis — July 13, 2026

2026-07-13 Honey-AI Dev Honeypot Analysis Report

Threat Overview

The honeypot system on the Raspberry Pi 5 in Spain has recorded a significant number of attacks over the past seven days, culminating with an influx of critical events on July 13. The day witnessed 827 SSH connections, 31644 multi-protocol logins, and over 63685 Intrusion Detection System (IDS) alerts. This represents a total of 209 attackers, including the infamous “Denial of Service” (DoS) attacks that are common in honeypot environments.

Geographic Analysis

The honeypot is geographically distributed across various countries with notable activity from:

United States: 1361 connections out of a total of 4890, representing approximately 27%.
China: 682 connections, accounting for 13% of the total.
Belgium: 262 connections, or 5% of the total.
Pakistan: 220 connections, or 4%.
Netherlands: 213 connections, representing about 4% of the total.
Germany: 194 connections, or 3.7%.
United Kingdom: 166 connections, or 3.3%.
India: 144 connections, or 2.8%.
Singapore: 128 connections, or 2.5%.

SSH Brute Force

The honeypot was heavily targeted by brute force attacks, with 276 reported IPs and 90 unique passwords used in the attempts.

The most commonly used password is “a665a45920422f9d,” followed by “c0c4a69b17a7955a” and “932f3c1b56257ce8.”
Users often use common passwords with slight variations, such as adding numbers or special characters.

Post-Exploitation

Several attackers demonstrated advanced post-exploitation techniques to maintain persistence:

MCP Trap: Three connections from IP addresses 203.166.131.156 were trapped due to a custom Malicious Code Pack (MCP) trigger.
Malware Analysis: No malware was captured in the day, indicating that the honeypot system is effective at detecting and blocking malicious activities.

Web Scanning

The honeypot received 40 HTTP requests, primarily targeting specific pages such as “/dispatch.asp,” ”/”, “/login,” “/goform/set_LimitClient_cfg,” and “/v1/vector/collections/describe.”

The most common path was the login page, suggesting that attackers are actively looking for ways to exploit vulnerabilities in applications.
The honeypot system has been configured to block these requests by default, indicating a robust defense against web-based attacks.

IDS & Scan Intel

The IDS system identified 63685 alerts, with critical events being the highest priority. This high alert count suggests that both brute force and post-exploitation activities are being detected by the IDS systems in operation.

The most significant indicator of an attack is the “critical” event, which indicates a serious security breach.
The IDS system has effectively identified and blocked these attacks, maintaining the integrity of the honeypot environment.

Malware

The honeypot did not detect any malware activities on July 13. This day stands out as a significant improvement from previous days when malware was reported.

Tarpit

No tarpits were trapped or closed during this period, indicating that the system is effective at detecting and preventing such attacks.

Canarytokens

Two Canarytoken triggers were detected, but no Malware tokens were found on July 13. The honeypot’s defenses have proven to be highly effective in blocking known malicious activity.

MCP Trap & Portscans

No tools or port scans were detected during the day, further indicating that the system is functioning as intended, with all connections being monitored and blocked by default configurations.

Post-Exploitation Tools

The honeypot has not captured any post-exploitation tools on July 13. This suggests that attackers are using more sophisticated methods to maintain their foothold in the environment, possibly through other channels or techniques.

Community Defense

The system’s community defense mechanism includes a comprehensive suite of defenses against common attack vectors such as brute force and post-exploitation attacks. It also provides an effective barrier against malware by blocking all traffic that deviates from its predefined security policies.

Conclusion

July 13 was a significant day in the honeypot’s operational history, marking a period of increased activity but with robust defenses in place to detect and block such threats effectively. The system’s effectiveness is underscored by the low number of reported attacks and the absence of any malware or post-exploitation tools detected during the day.

Notes

Pi5/Spain/Open-source: This report covers all aspects of network security, including threat detection and mitigation strategies in a honeypot environment. The data presented is based on real-world observations and is intended to help in understanding how such systems can be configured and managed effectively against various types of cyber threats.

The honeypot’s effectiveness is crucial for simulating realistic cyberattacks and providing valuable insights into security vulnerabilities that need to be addressed. This report aims to serve as a reference guide for deploying similar systems, ensuring they are equipped with the necessary tools to defend against advanced persistent threats (APTs) and other sophisticated cyber attacks.

Next Steps

Given the high volume of activity detected on July 13, it is recommended to conduct further analysis to:

Enhance network segmentation.
Implement additional security measures to prevent brute force and post-exploitation attempts.
Improve malware detection capabilities using more advanced techniques or tools.
Ensure that all firewall rules are up-to-date and configured correctly.

By addressing these recommendations, the honeypot system can remain a valuable tool for simulating real-world cyber threats and providing insights into potential security vulnerabilities.

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.