💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — August 6, 2026

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

ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitythreat-intelligence

Cybersecurity Analysis for 2026-08-06

Overview

Today’s cybersecurity dashboard highlights a series of threats against the Raspberry Pi honeypot system, which has been operational since 2024-01-01. The system experienced a significant increase in activity across various protocols and applications, with critical events being logged. This analysis will delve into each section to provide an accurate picture of today’s threat landscape.

Geographical Analysis

The geographical distribution of the attackers is as follows:

  • United States: 457 (36%)
  • China: 91 (7%)
  • Germany: 65 (5%)
  • Belgium: 56 (4%)
  • United Kingdom: 53 (4%)
  • Pakistan: 53 (4%)
  • Netherlands: 51 (4%)
  • Vietnam: 34 (2%)
  • Sweden: 31 (2%)

Top IPs

The top five IP addresses used in today’s attacks are:

  • 195.178.110.228
  • 115.55.250.36
  • 153.117.13.22
  • 139.135.42.62
  • 139.135.59.232

Top Passwords

The most commonly used passwords were:

  • 4813494d137e1631
  • 1af4cfa0ae8cb48c

HTTP Paths

Today’s attackers targeted the following paths in the web server:

  • /dispatch.asp
  • /
  • /SDK/webLanguage
  • /login
  • /owncloud/status.php

GeoIP Report

The total number of unique IP addresses is 1259, with a geographical breakdown as follows:

  • United States: 457 (36%)
  • China: 91 (7%)
  • Germany: 65 (5%)
  • Belgium: 56 (4%)
  • United Kingdom: 53 (4%)
  • Pakistan: 53 (4%)
  • Netherlands: 51 (4%)
  • Vietnam: 34 (2%)
  • Sweden: 31 (2%)
  • Unknown: 30 (2%)

Tarpit Analysis

No tarpits were trapped or wasted today.

Malware Analysis

Today’s data did not reveal any instances of malware being captured, indicating that the honeypot system is still effective at detecting suspicious activity.

Canarytokens

The security log contains ten triggers for Canarytokens:

  • AWS token from 134.122.12.197 with a specific user-agent and details.

MCP Trap Analysis

No malicious activity was detected in the MCP trap section, showing that the honeypot system is effective at intercepting tarpit attempts.

Portscans

There were no port scans or open ports found on today’s targets, indicating a low level of exploitation activity. This suggests that attackers are not targeting vulnerabilities for further penetration.

TTY Commands

The security log reports 41 sessions with TTY commands, including:

  • 796x: Output the system information using uname -s -v -n -r -m.
  • 44x: Change to user home directory and run a series of commands.
  • 44x: Run another command in the home directory.
  • 20x: Execute a command using /bin/./ which is likely part of a Unix-based system.

Threat Overview

The total number of attackers reported today is 176, indicating that despite being operational since 2024, this honeypot remains active and effective in detecting malicious activity. The critical alerts highlight the importance of continuous monitoring and updating security measures to prevent exploitation.

Geographic Analysis Summary

Based on today’s data, the top geographical locations for attackers are United States, China, Germany, Belgium, UK, Pakistan, Netherlands, Vietnam, Sweden, and Unknown. This distribution suggests a global threat landscape that requires vigilance across different regions.

Conclusion

Today’s analysis of the Raspberry Pi honeypot system shows a strong activity level in various protocols and applications. The critical alerts highlight the importance of continuous monitoring and updating security measures to prevent exploitation. Despite the number of attackers, the honeypot remains effective in detecting suspicious activity and providing valuable data for network defenders.

Note

The system is operating on Raspberry Pi 5 with open-source software, ensuring that it can be easily monitored and analyzed for threat detection purposes.


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.