Tuesday, 28 July 2026 💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — July 28, 2026

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

🌍 205 unique attackers ⚡ 17,958 events 📊 View raw data report →
ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitymcp-agent-trapthreat-intelligence

Cybersecurity Analysis for July 28, 2026

Summary of Findings:

  • SSH Brute Force: The honeypot experienced a significant number of SSH connections, ranging from 1086 to 495 per day over multiple days. This indicates active cybercriminals and potential attackers targeting the network.
  • Multi-Protocol Scans: The IP database shows an increase in multi-protocol scanning events, with 16771 incidents reported over 205 attacks. This includes FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP, and HTTP traffic.
  • HTTP Traffic: There was a significant amount of HTTP traffic observed on the honeypot, with 101 unique requests logged to “/login”, ”/”, “/SDK/webLanguage”, and other paths. This suggests that sensitive information could have been accessed or exploited via these routes.
  • IDS Alerts: The IDS system reported nearly 200 alerts over 634 IPs, with a critical severity level, indicating potential threats requiring immediate attention.
  • GeoIP Analysis: The honeypot was located in multiple countries, including the United States (1433), China (713), Belgium (278), Pakistan (228), Netherlands (223), Germany (206), UK (196), India (156), Republic of Korea (139), Singapore (131), and the United Kingdom.

Detailed Analysis:

1. SSH Brute Force

  • The honeypot experienced a substantial number of SSH connections, ranging from 495 to 1086 per day over multiple days.
  • This indicates that attackers were trying various login credentials, including common passwords like “b03ddf3ca2e714a6”, “e3b0c44298fc1c14”, and “8c6976e5b5410415”.

2. Multi-Protocol Scans

  • The IP database shows a significant increase in multi-protocol scanning events, with 16771 incidents reported over 205 attacks.
  • This includes FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP, and HTTP traffic.

3. HTTP Traffic

  • There was substantial HTTP traffic observed on the honeypot, with a total of 101 unique requests logged to various paths like “/login”, ”/”, “/SDK/webLanguage”, and other sensitive files.
  • This suggests that attackers were attempting to exploit vulnerabilities or gain access via these routes.

4. IDS Alerts

  • The IDS system reported nearly 20 alerts over 63 IPs, with a critical severity level, indicating potential threats requiring immediate attention.

5. Geographic Analysis

  • The honeypot was located in multiple countries:
    • United States (1433)
    • China (713)
    • Belgium (278)
    • Pakistan (228)
    • Netherlands (223)
    • Germany (206)
    • UK (196)
    • India (156)
    • Republic of Korea (139)
    • Singapore (131)

6. Tarpit and Malware

  • Tarpitting was successful in trapping 179 connections from 72 IPs, indicating that attackers were actively trying to connect but were unable to complete the connection due to tarpitting.
  • No malware was captured during this period.

7. Canarytokens

  • Two AWS tokens were discovered:
    • One token from IP address 104.23.187.67 with user-agent specified as (no user-agent specified).
    • Another token from IP address 192.121.170.110, showing a variety of software and language versions.

8. MCP Trap

  • Ten MCP traps were reported over 5 IPs, indicating that attackers were trying to trigger the honeypot’s Malware Content Protection (MCP) feature.
  • No malware was captured during this period.

9. Portscans

  • Portscanning activity was minimal with no port scans being detected or performed by any of the reported connections.

10. AI Defense and Community Defense

  • There were no injection blocks or leak blocks in the AI defense system, suggesting that the honeypot did not detect any malicious activities related to these methods.
  • The community defense was also found to be ineffective in this period.

Conclusion

The honeypot experienced a high volume of SSH attempts and multi-protocol scans, indicating ongoing attack activity. Additionally, there was substantial HTTP traffic, which suggests potential exploitation or access points for attackers. The IDS system reported numerous alerts with critical severity levels, highlighting the importance of continuous monitoring and threat detection systems.

The geographic distribution shows that multiple countries were involved in this activity, emphasizing the need for global cybersecurity awareness and response efforts. The tarpit feature was successfully employed, trapping 179 connections from various IPs, while no malware or significant threats were captured during the period.

Overall, the findings underscore the need for robust cybersecurity measures to protect against both known and emerging 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.

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This analysis was generated by qwen2.5:1.5b running locally on the same Raspberry Pi 5 that operates the honeypots. No data leaves the device. All threat data is sourced from real attacks captured in the last 24 hours.

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