Honeypot Threat Analysis — July 1, 2026

Cybersecurity Analysis Report for July 1, 2026

Cybersecurity Analyst’s Daily Threat Blog

In today’s world of cyber threats and evolving security landscapes, it is crucial to stay informed about the latest trends and incidents. This blog provides a comprehensive analysis of the cybersecurity threat landscape as reported on honey-ai.dev, focusing on the significant metrics observed in our honeypot system running on Raspberry Pi 5 with Linux distribution (Raspbian).

Data Overview

SSH Activity:

Total Connections: 846
Successful Logins: 477
Commands Executed: 56
IP Addresses Active: 367

Multi-Protocol Events:

Total Protocol Events: 1,4902
Unique IP Addresses: 87

HTTP Traffic:

Unique Requests: 68
Unique IPs Involved: 17

Suricata IDS Alerts:

Alerts Generated: 7,066
Unique IP Addresses Tracked: 580

Severity and Total Attackers:

Total Attackers Detected: ~160

Geographical Analysis

The honeypot system has been active across multiple geographical locations, with the top three countries identified as follows:

United States: 781 (27%)
China: 421 (14%)
Belgium: 145 (5%)

These findings highlight the global nature of cyber threats and suggest that organizations must be mindful of both local and international risks.

Top IP Addresses

The honeypot has been detected by a variety of malicious actors, with the top three IPs identified as:

218.90.40.79 (United States)
36.236.73.50 (China)
218.3.184.112 (Belgium)

These IP addresses are frequently used in cyber attacks, indicating the importance of maintaining strong network security practices.

Top Passwords

The most commonly used passwords on the honeypot system include:

“4813494d137e1631”
“8c6976e5b5410415”

These credentials suggest a high level of security awareness among attackers, as they are commonly used for brute force attacks.

HTTP Path Analysis

The honeypot system has been targeted by various HTTP requests:

/SDK/webLanguage
/dispatch.asp
/
/login

These paths indicate that the honeypot is being actively exploited for reconnaissance and testing purposes, highlighting the need to update web applications regularly.

Malware Detection

No malware was captured during today’s activities. This suggests that the honeypot has been effective in detecting potential threats without deploying any malicious payloads.

Tarpit Analysis

Despite our efforts, 57 connections were tarpitted from 37 IPs. However, no significant downtime or wasted time was observed for these attacks.

Malware Triggers

One notable malware trigger detected on the honeypot system is:

AWS Token (Unknown Origin)
User-Agent: Boto3/1.34.46
MD5/Hash of User-Agent: md/Botocore#1.34.46
UA/Version: ua/2.0
OS: os/linux#6.8.0-106-generic
MD5/Hash of OS: md/arch#x86_64
Lang: lang/python#3.12.3
MD5/Hash of Lang: md/pyimpl#CPython

This malware trigger highlights the importance of regular security audits and updates.

MCP Trap Analysis

No malicious activity was detected on the honeypot system today, indicating that it remains a secure environment despite potential threats.

Portscans and Tools Usage

Portscans: 0/0 (No notable port scans were observed)
Tools Used: No tools were used to exploit the honeypot.

This suggests that the honeypot is effectively filtering out unwanted traffic, maintaining a secure environment.

AI Defense Analysis

The AI defense system was effective in blocking:

Injections Block: 0
Leaks Block: 0

These metrics indicate that the current security measures on the honeypot are sufficient and do not require any changes or adjustments.

TTY Commands Analysis

With 41 sessions recorded, including both malicious and non-malicious commands:

796x - Used to test system versions
44x - Modified password files
44x - Attempted SSH access with known credentials
20x - Executed a shell command
2x - Displayed processor information

These commands indicate that the honeypot is being actively monitored and has been effective in detecting potential threats.

Conclusion

The honeypot system running on Raspberry Pi 5 continues to serve as an effective deterrent against cyber attacks. With continuous monitoring, addressing vulnerabilities, and staying updated with the latest security practices, organizations can significantly reduce their risk exposure. It is crucial to leverage tools like Suricata IDS, Malware detection systems, and regular security audits to ensure a robust defense posture.

Raspbian 5/Spain/Open-Source Note

This blog post serves as a reflection on our honeypot’s activities over the last day, providing valuable insights into current cyber threats and practices. Regularly maintaining and updating security measures is essential in today’s highly interconnected digital world.

Feel free to reach out if you have any questions or need further information on the honeypot system operations.

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.