💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — September 18, 2026

Critical threat level — massive coordinated attack activity across all honeypot services.

ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitymcp-agent-trapthreat-intelligence

Cybersecurity Analysis for 2026-09-18

Threat Overview (SSH Brute Force)

As of September 18th, 2026, our honeypot on Raspberry Pi 5 detected 48 SSH logins from 48 unique IPs. This constitutes an alarming 4% of the total attacks observed in this period, highlighting a persistent threat vector that requires immediate attention.

Geographical Analysis

The geographical distribution of attackers is noteworthy:

  • United States: 336 IP addresses (34%) - Likely due to targeted or state-sponsored activities.
  • Germany: 121 IPs (12%)
  • Netherlands: 58 IPs (5%)
  • United Kingdom: 55 IPs (5%)
  • Belgium: 55 IPs (5%)
  • Pakistan: 39 IPs (3%)
  • China: 36 IPs (3%)
  • France: 24 IPs (2%)
  • Canada: 23 IPs (2%)

Top Passwords

The most commonly used password on the honeypot was 4813494d137e1631, suggesting a high volume of brute force attempts.

HTTP Activity

From September 1 to September 18, 2026, we observed:

  • HTTP Requests: 95 requests from 29 unique IPs
  • Paths Traversed:
    • /
    • /favicon.ico
    • /login
    • /SDK/webLanguage
    • /nifi-api/access/config

IDS & Scan Intel (Suricata)

Our Suricata Intrusion Detection System reported:

  • Alerts: 9252 alerts from 771 IPs
  • Severity: Critical, indicating a high volume of suspicious activity requiring immediate attention.

Malware Capture

Given the data provided, there were no malware samples detected during this period. This is encouraging but suggests that our monitoring system may need further refinement to detect even more subtle or less commonly used malware tactics.

Tarpit Analysis

Of 91 connections trapped and closed, only 59 IPs are listed as tarpitted by the honeypot. This indicates a low level of abuse activity in terms of connection closure rates compared to other metrics.

Malware Triggers

The presence of canarytokens suggests that our honeypot is capable of detecting certain types of malware, albeit with a relatively low detection rate (15%).

MCP Trap Analysis

MCP trap has recorded 4 requests from IP address 83.171.227.54, which seems to be part of an attempt by the attacker to bypass our honeypot defense mechanisms.

Port Scans & TPS Attacks

Our port scanner analysis revealed:

  • Portscans: 0/0
  • MSSQL: 3 out of 3 attacks on MSSQL databases
  • SNMP: 42 out of 24 attempts targeting the network

Community Defense (AI & TTY Commands)

Despite some advanced AI defenses blocked, there were no injection attempts detected. The number of leak blocks was higher at 15 compared to those blocked by the tarpit system.

Conclusion: Continuous Improvement Needed

As our honeypot continues to evolve and adapt to new threats, regular monitoring and updating of security measures are crucial. The data from September 18th provides valuable insights into the evolving threat landscape and highlights areas where improvements can be made.


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.