Honeypot Threat Analysis — September 2, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis: 2026-09-02
Introduction
On September 2, 2026, our honeypot system in Spain registered a significant activity across multiple protocols and sources. The SSH service encountered over 1058 active connections with 603 commands, while the HTTP protocol handled 60 requests from various IPs. Additionally, we observed 32787 events involving multi-protocol (FTP/Telnet/SMTP/MySQL/Redis/Git/VNC/RDP) activities from 145 unique IP addresses. In terms of IDS alerts, 63612 alerts were logged with a severity level of critical, indicating high risk and potential exploitation attempts.
Threat Overview
The primary threat source identified was SSH, with nearly 49 connections being trapped due to abuse activity reported by AbuseIPDB. This data suggests that the system is under attack from multiple sources, likely targeting its services for unauthorized access or malicious activities.
Geographical Analysis
Our honeypot’s geographical distribution reveals a significant presence of attackers coming from countries outside our immediate vicinity. The United States accounted for 289 entries, followed by the United Kingdom (72) and China (53). This indicates that the system is experiencing activity from international actors, possibly due to geopolitical tensions or cyber espionage.
SSH Brute Force
Despite the high number of connections, only a few were identified as brute force attempts. The most frequent passwords used included “8c6976e5b5410415”, suggesting that this password is frequently being attempted in login attempts. This indicates that some attackers are using a common or easily guessable password for their login credentials.
Post-Exploitation
The honeypot experienced 29 tarpit scans and 15 open ports, indicating potential vulnerabilities within the system. These tarpits suggest that some attackers may be testing the system’s resilience to tarpitting, a technique often used by malicious actors to evade detection.
Web Scanning
Our web server recorded 60 requests from various IPs. The HTTP paths identified included common attack vectors such as ”/”, “/login”, and “/hachk.php”. This suggests that attackers are using basic reconnaissance techniques to identify potential vulnerabilities on the honeypot system.
IDS & Scan Intel
The Intrusion Detection System (IDS) logged 63612 alerts from various IPs, with a high severity level of critical. These alerts highlight ongoing threats and potential exploitation attempts, indicating that our honeypot is continuously under threat assessment by attackers.
Malware Analysis
There were no malware instances captured within the system on this day, which is encouraging given the nature of the activities observed. However, it’s worth noting that the presence of suspicious requests suggests that some attackers may be attempting to carry out malicious activities, despite being caught early in their attempts.
Tarpit and MCP Trap
The MCP trap recorded 9 successful attacks from 4 IPs, indicating a high level of potential threat. This data shows an ongoing effort to test the system’s resilience and detect any vulnerabilities that could be exploited.
Portscans and AI Defense
There were no notable port scans or attempts at exploiting known vulnerabilities on our honeypot system. The AI defense showed zero injection blocks, indicating a strong focus on detection but not yet blocking all threats effectively.
Conclusion
The 2026-09-02 data highlights the ongoing threat landscape around our honeypot in Spain. With high critical IDS alerts and continuous attempts by attackers to exploit known vulnerabilities, it is clear that proactive measures are necessary to secure the system against future threats. The presence of SSH brute force attempts, web scanning activity, and tarpit scans points towards a persistent nature of attacks from multiple locations.
Given this data, we should consider enhancing our security protocols such as multi-factor authentication for SSH access, implementing strong password policies, and continuously updating our IDS systems to detect new attack vectors. It is also crucial to monitor the honeypot’s responses to these threats and adjust defenses accordingly to maintain a high level of resilience against potential cyber attacks.
Pi5/Spain/Open-source
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.