Honeypot Threat Analysis — September 11, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
2026-09-11 Analysis
Threat Overview
In the week of September 11th, 2026, our honeypot system experienced a significant influx of attacks from around the globe. With over 8996 alerts and 576 IPs involved in the event handling process, we saw a substantial increase in activity compared to previous weeks. The attackers targeted multiple protocols including SSH, HTTP, FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP, and more.
The primary method of attack was through brute force attempts on the SSH port (3248), which resulted in 750 successful login attempts out of 2498 total. This indicates that while our system is equipped with security measures, attackers are still finding vulnerabilities ripe for exploitation.
From a geographical perspective, we observed the following top IP locations:
- United States: 673 (32%)
- Germany: 197 (9%)
- Netherlands: 145 (7%)
- Belgium: 144 (6%)
- China: 128 (6%)
- Pakistan: 113 (5%)
- United Kingdom: 111 (5%)
- Hong Kong: 55 (2%)
These locations suggest that our honeypot is attracting a significant amount of interest from various regions around the world.
SSH Brute Force
The highest number of login attempts was observed on September 11th, with over 750 failed SSH connections. This indicates that despite having security measures in place, there are still vulnerabilities to brute force attacks. The top IP involved in this activity is “85.85.17.46,” which suggests that this particular IP is a high-risk target for attackers.
Post-Exploitation
Following successful login attempts, we observed an increased number of commands executed on the system. Notably, the commands mentioned (such as uname -s, cat /proc/cpuinfo and more) are indicative of post-exploitation activities intended to gather information about the target environment.
Malware
There were no instances of malware captured or detected in our honeypot’s logs on September 11th, which is a positive sign. This suggests that while we have robust security measures in place, attackers are not exploiting vulnerabilities for malicious purposes.
Geographic Analysis
The top geographical locations contributing to the attacks include:
- United States: 673 (32%)
- Germany: 197 (9%)
- Netherlands: 145 (7%)
- Belgium: 144 (6%)
- China: 128 (6%)
- Pakistan: 113 (5%)
- United Kingdom: 111 (5%)
- Hong Kong: 55 (2%)
This distribution indicates that our honeypot is being targeted from various parts of the globe, highlighting its importance as a security tool for monitoring and defending against threats.
Tarpit
On September 11th, we trapped 66 connections from 24 IPs. Despite this effort, there were no incidents resulting in wasted time or resources. The lack of malicious intent suggests that most attacks are not targeting the system’s core functionality but instead seeking to gather information for other purposes.
Malware
There were no malware instances captured on September 11th, which is a positive observation given the high number of events logged. This indicates our security measures are effective in detecting and responding to threats without allowing malicious software access.
Community Defense
The honeypot has been continuously monitored for various community defense mechanisms such as AI-based threat detection systems and machine learning algorithms that analyze traffic patterns and user behavior to identify potential threats before they can harm the system or its users. These tools help enhance security by proactively detecting and preventing unauthorized activities.
Conclusion
Overall, our honeypot on September 11th showed a significant increase in attack activity compared to previous weeks, with an influx of over 8996 alerts from various locations globally. Despite the high volume of attacks, we observed that most were not malicious, focusing more on gathering information and post-exploitation activities rather than attempting to cause damage.
In summary, our honeypot continues to serve as a valuable tool for monitoring security threats in real-time, providing valuable insights into attack patterns and helping us stay ahead of potential threats.
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.