Honeypot Threat Analysis — October 2, 2026

Cybersecurity Threat Analysis for October 2, 2026

Overview:

On the evening of October 2, 2026, a series of cybersecurity incidents were observed at the Raspberry Pi 5 honeypot operated by honey-ai.dev in Spain. The event data shows that there were 184 attackers attempting to gain access through SSH connections, with an average of 30 commands per login session and over 7662 alerts generated by Suricata IDS.

Detailed Analysis:

The day’s events are categorized into several types of threats:

SSH Brute Force: The most frequent threat type is SSH brute force attempts, with 142 connections made to the honeypot. This indicates a high risk of unauthorized access through insecure credentials.
HTTP Attacks: HTTP-based attacks were also detected, with 88 requests and 29 IPs involved in these activities.
IDS Alerts: The Suricata IDS system generated 7662 alerts from 598 IPs. These alerts are critical in identifying potential threats.
Multi-Protocol Activities: There were 125 unique IPs engaging with multiple protocols such as FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, and RDP, totaling 2160 events.

Geographical Distribution:

The honeypot was located in Spain, and the attackers came from various countries. The top IPs observed were those originating from the United States (1113), China (328), Germany (287), the United Kingdom (224), Belgium (198), Pakistan (172), Netherlands (144), Korea, Republic of (135), India (129), and Hong Kong (121). This geographical distribution suggests a global threat landscape.

Threats vs. Defenses:

Threat Overview: The attackers aimed to exploit various protocols and user credentials.
Geographic Analysis: The top countries involved in the attacks reflect the increasing digital footprint of cybercriminals globally, indicating a need for more robust international cooperation in cybersecurity measures.
SSH Brute Force: Despite attempts by the honeypot administrators to respond with firewalls and other security measures, 142 SSH connections still managed to breach the system. This underscores the ongoing challenges faced by network defenders in protecting against brute force attacks.
IDS & Scan Intel: The IDS alerts generated are a critical part of early detection systems that can help organizations identify potential threats before they materialize into real breaches.

Malware Impact:

There were no instances of malware detected on the honeypot, suggesting effective defenses against common malware strains. However, it’s important to note that this may be due to the honeypot’s nature and its purpose as a defensive system rather than complete protection from all malware types.

Tarpit & Backfire Scans:

Tarpitting: The honeypot was successfully tarpitted against 113 connections, indicating effective blocking of connection attempts. This could be seen as a positive outcome given the high volume of incoming traffic.
Backfire Scans: There were no backfire scans detected from any IPs involved in this attack.

Malware & Post-Exploitation:

There was also no malware captured during this incident, which is encouraging but does not negate the importance of continuous monitoring and updating security measures.

Community Defense:

In terms of community defense efforts, there were no significant incidents reported. The honeypot’s success in identifying threats is a testament to its effectiveness as part of an open-source defensive strategy.

Conclusion:

While this incident highlights the ongoing threat landscape, it also underscores the importance of continuous monitoring and effective security measures. The data provided suggests that despite robust defenses, there are still high volumes of unauthorized access attempts through SSH, making regular updates and patching critical for maintaining security posture against 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.