Saturday, 26 September 2026 💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — September 26, 2026

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

🌍 454 unique attackers ⚡ 5,024 events 📊 View raw data report →
ssh-brute-forcehoneypotweb-scanningmulti-protocolhigh-severitymcp-agent-trapthreat-intelligence

Cybersecurity Threat Analysis for September 26, 2026

Overview

On the eve of an increasingly interconnected world, cybersecurity analysts face a multitude of threats that demand constant vigilance. This blog post provides an in-depth analysis of the security landscape on the Raspberry Pi honeypot network located in Spain, focusing primarily on SSH brute force attacks, HTTP traffic, IDS alerts, and other indicators of compromise (IoCs).

Data Highlights

  • SSH Traffic: 947 connections with a significant number of successful logins and commands executed.
  • Multi-Protocol Events: 4024 events involving FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP, and HTTP. This diversified attack surface increases the complexity of defense strategies.
  • HTTP Traffic Analysis: The honeypot saw 53 requests to various web paths, primarily including login pages and favicon files.
  • IDS Alerts: A total of 9641 alerts with a critical severity level across 728 IPs. These alerts are indicative of potential breaches or misconfigurations that require immediate attention.

Top Attackers

The most active attackers are from the following IP addresses:

  1. 123.245.241.63
  2. 123.172.56.125
  3. 153.117.127.84
  4. 160.250.114.149
  5. 172.94.9.37

The most common passwords used in the attacks are:

  1. 91566946b1d8deb0
  2. aad3f9ba1d6740cc
  3. 8d969eef6ecad3c2
  4. 8c6976e5b5410415
  5. 03ac674216f3e15c

HTTP Traffic Paths

The top paths in the honeypot’s response to HTTP requests include:

  1. /
  2. /login
  3. /favicon.ico
  4. /hachk.php
  5. /SDK/webLanguage

Geographic Distribution

  • United States: 809 IPs (29%)
  • Germany: 240 IPs (8%)
  • China: 220 IPs (7%)
  • United Kingdom: 139 IPs (5%)
  • Belgium: 130 IPs (4%)
  • Pakistan: 108 IPs (3%)
  • Netherlands: 104 IPs (3%)
  • Korea, Republic of: 88 IPs (3%)
  • India: 86 IPs (3%)

Tarpit and Malware

Despite tarpitting an attacker from 172.94.9.37, there were no reported malware incidents during the day. The honeypot was also not compromised by any known attacks or threats.

Threat Overview

The Raspberry Pi honeypot, located in Spain, has been under active attack over the past 24 hours with a significant number of logins and commands executed via SSH. This indicates that attackers are actively searching for vulnerabilities on this network. The diverse range of protocols used (SSH, HTTP, FTP, etc.) poses an additional layer of complexity to security measures.

Post-Exploitation

The honeypot has seen various post-exploitation activities such as executing commands like uname -s, changing the owner of .ssh directories, and scanning for processor information. This suggests that attackers are looking to maintain persistence or escalate privileges.

Malware Analysis

While no malware was captured in today’s attack, it is important to note that this does not necessarily mean there were no attempts at infection. The lack of malware detections could be due to the honeypot’s advanced defenses or its relatively low-risk environment compared to other targets.

Tarpit and MCP Trap

Despite being tarpitted from 172.94.9.37, there was no reported attack by this attacker, indicating that they may have dropped off or been redirected elsewhere. The MCP trap shows no open targets, suggesting a lack of ongoing threats targeting the network.

Portscans and MSSQL

No notable port scans were observed during today’s attack period. However, SQL injection attacks on MSSQL databases could still be potential risks if not properly secured.

AI Defense

The honeypot has successfully blocked 19 instances of data leaks but did not block any injections into the network environment. This suggests that while AI is being used to defend against cyber threats, it still has some limitations in terms of preventing specific types of malicious activities such as SQL injection or file inclusion attacks.

Conclusions and Recommendations

The Raspberry Pi honeypot located in Spain continues to serve as an effective deterrent for attackers seeking vulnerabilities on the network. The data analysis highlights a need for continuous improvement in security measures, particularly in areas like post-exploitation persistence and malware detection capabilities. As technology evolves, staying informed about emerging threats is crucial for maintaining a robust cybersecurity posture.

Notes

  • Version: Pi5
  • Location: Spain
  • Open-source: Yes, this honeypot serves as an example of open-source security practices in action.

This analysis underscores the importance of continuous monitoring and adaptation in the ever-changing landscape of cybersecurity 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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