Honeypot Threat Analysis — September 25, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for September 25, 2026 - Honey-AI.Dev
Threat Overview
In the latest iteration of our honeypot setup at Honey-AI.Dev in Spain, we observed a high volume of cyber attacks targeting SSH, HTTP, and various protocols. Over the course of the day on September 25th, 2026, there were 79 commands attempted through an unusual 517 SSH connections. These connections resulted in 79 distinct commands being executed across 155 IP addresses. This data indicates a significant volume of activity aimed at gaining unauthorized access to our honeypot environment.
Multi-Protocol Activity
Our multi-protocol monitoring also shows a high level of engagement, with 4693 events involving FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, and RDP. These activities suggest that attackers are attempting to exploit vulnerabilities in multiple network protocols for reconnaissance or lateral movement within our environment.
HTTP Traffic
The number of HTTP requests logged was relatively low at 62 per day, with the majority coming from IPs associated with countries such as United States (74%) and Germany (9%). This suggests a high level of foreign traffic attempting to exploit vulnerabilities in our honeypot system. The presence of path-specific requests like “/login”, “/hachk.php”, “/SDK/webLanguage”, and “/hudson” indicates potential exploitation attempts, possibly using known exploits or zero-day vulnerabilities.
IDS Alerts
Our Intrusion Detection System (IDS) registered 8105 alerts, with a severity level of critical. This high number of alerts suggests a significant volume of malicious activity detected by our system. The IPs associated with these alerts show a mix of legitimate and potentially malicious traffic from various regions around the world.
Malware Captured
There were no malware samples or signatures captured today as part of our threat monitoring. This is an expected outcome given that we are operating on a honeypot environment, designed to detect and analyze attack patterns without actively engaging in capturing or analyzing any actual malware payloads.
Tarpit Analysis
We observed 71 connections being tarpitted by the system. These tarpits were from 32 different IP addresses, which suggests a high level of traffic volume requiring attention. The fact that these are not being exploited for further attack does indicate potential over-protection measures or legitimate users experiencing network issues.
Geographical Distribution
The geographical distribution of our attackers reveals a mix of countries with significant presence, including the United States (31%), Germany (9%), China (7%), Belgium (5%), the United Kingdom (4%), Netherlands (4%), Pakistan (3%), Hong Kong (3%), and Korea (2%). This data highlights the international nature of cyber threats targeting our honeypot.
Malware Tokens
The day saw an attempt to exploit AWS credentials, as well as a botnet token. The AWS tokens were from IPs located in 158.69.197.229 and 179.220.67.206 with user-agents indicating various software versions (Python, Boto3). This suggests that the attackers are using a variety of tools to test their capabilities or to try to exploit existing vulnerabilities in our environment.
MCP Trap
The MCP trap was triggered on 5 sessions from 3 IPs, which is not uncommon. These activities indicate attempts at probing for open ports and attempting to gain access through various means.
Port Scans
There were no active port scans observed today, suggesting that the network environment remains relatively secure against these types of attacks. This is a positive sign in our ongoing threat monitoring.
AI Defense
Our AI defense systems successfully blocked 11 out of 40 injection attempts and none of the 2590 SQL Injection attempts were successful. The successful blocking of SQL injections suggests that we have robust defenses in place to protect against these types of attacks, indicating a strong level of security for our honeypot environment.
Community Defense
There were no community defense tools identified today, suggesting that our honeypot is not being targeted by typical community-based threat actors. This indicates that while the system is effective at detecting and analyzing threats, it is not actively engaged in any form of community-based defense mechanisms.
Conclusion
Overall, this analysis highlights a high volume of malicious activity targeting our honeypot environment on September 25th, 2026. The data shows a mix of multi-protocol attacks, HTTP requests from various countries, critical alerts from IDS systems, and attempts to exploit AWS credentials. Despite these threats, our security measures have successfully blocked numerous potential exploits and maintain a relatively low attack surface.
As we move forward, it is crucial to continue monitoring the environment and updating our defenses to adapt to evolving cyber threat landscapes. This analysis underscores the importance of robust security practices in protecting honeypot environments from both known and emerging 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.