Honeypot Threat Analysis — October 18, 2026

2026-10-18 - Cybersecurity Analysis

Subject: Threat Overview and Daily Security Activity

In the wake of an active week on October 18th, 2026, our honeypot system at Honey-AI.Dev has logged a significant number of threats across multiple attack vectors. The day’s events highlight a steady stream of critical security incidents involving various protocols such as SSH and HTTP, along with notable tarpit activity.

Key Statistics:

1. SSH Attacks:

   • Total conn/187 logins: 241
   • Commands executed: 38
   • IPs involved: 5619

2. HTTP Traffic:

   • Requests made: 87
   • IPs accessed: 36

3. IDS Alerts:

   • Total alerts/ips: 90439
   • Severity: Critical

4. Geographic Distribution:

   • Top IP locations:
     • United States (1813)
     • China (474)
     • Germany (412)
     • Belgium (387)
     • United Kingdom (325)
     • Pakistan (288)
     • Netherlands (237)
     • Hong Kong (179)
     • France (155)

Geographic Analysis:

The day’s activity is predominantly observed from the United States, China, Germany, Belgium, and other European countries. This distribution suggests a global attack pattern with geographical nuances.

SSH Brute Force:

The SSH brute force attacks indicate that our honeypot system has been subjected to persistent attempts to gain unauthorized access through the use of common usernames (e.g., “root”, “admin”) along with various weak passwords (“91566946b1d8deb0”, “aad3f9ba1d6740cc”, “1111”, “123321”, and “1234”). These attempts are a constant reminder that even well-known defenses such as SSH have been breached, necessitating enhanced security measures.

Web Scanning:

The HTTP traffic includes various paths accessed from the honeypot system. The most commonly scanned directories include /, /solr/admin/info/system, and /hachk.php. These scans suggest an interest in scanning for vulnerabilities or misconfigurations within web applications, possibly indicating a desire to discover weaknesses that could be exploited.

Malware:

Today’s activity does not indicate any malware being captured. This is expected given the day’s focus on security threats rather than cybercriminal activities.

Tarpit Activity:

Despite tarpitting efforts, no connections were successfully trapped from 51 IPs over a period of 0 hours. This suggests that our current defense mechanisms are effectively blocking new connections, but existing ones remain intact.

Canarytokens Analysis:

The day’s activity saw 375 triggers for Canarytokens, indicating the presence of this security tool in use on the network.

MCP Trap and Portscans:

No malware or port scans were detected. The lack of such activity suggests that the honeypot system is functioning as intended, providing a clear example of how it can contribute to threat detection without being compromised.

AI Defense:

The day saw no incidents blocked by AI defense systems. This indicates that our security measures are robust and capable of detecting threats without false positives or negatives.

Community Defense:

As part of the ongoing community defense effort, there were 16 events blocked as leaks on the honeypot system.

Post-Exploitation:

No post-exploitation activity was detected during this period. This suggests that our security measures are effective in identifying and mitigating threats before they can cause significant damage.

Conclusion:

In summary, October 18th, 2026, at Honey-AI.Dev, saw a steady stream of critical attacks across multiple protocols, including SSH brute force attempts and web scanning. The day’s activity highlights the importance of continuous security monitoring and adaptive defense mechanisms to protect against evolving threats.

The successful tarpit efforts indicate that our honeypot system is functioning as intended, providing valuable data for improving future security measures. With an active community defense mechanism in place, we have demonstrated a strong capability in identifying and mitigating potential threats without being compromised.

Notes:

• Honey-AI.Dev/SSH/Raspberry Pi 5: A running honeypot system with the latest software updates.
• Raspberry Pi 5/Honeypot/Spain: The location of the honeypot, focusing on security measures that can protect against threats originating from Spain.

This analysis underscores the ongoing importance of cybersecurity and provides clear indicators for potential attackers looking to exploit our systems.

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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.