Honeypot Threat Analysis — September 8, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
2026-09-08 Honey-AI Dev Blog
Introduction
On September 8, 2026, our Raspberry Pi honeypot continued to gather valuable insights into the evolving landscape of cybersecurity threats. Here’s a detailed analysis of the security events and trends observed over the past day.
Overview (SSH Brute Force)
- Total Connections: 986
- Logins: 533
- Commands Executed: 453
The high volume of SSH logins indicates that our honeypot remains a target for unauthorized access attempts. The analysis reveals that attackers are attempting to bypass basic security measures, including brute force and common password patterns like “a665a45920422f9d”.
Multi-Protocol Activity
- Total Events: 21,664
- Targets: 141 IPs
This high number of events suggests a variety of attackers targeting multiple services. The presence of FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, and RDP indicates that our honeypot is attracting a wide range of attack vectors.
HTTP Activity
- Requests: 86
- Targets: 36 IPs
HTTP requests for “/login”, “/dispatch.asp”, “/SDK/webLanguage”, and “/goform/set_LimitClient_cfg” suggest that attackers are attempting to exploit vulnerabilities in our services. This is an important indicator of potential attack vectors.
IDS Alerts
- Total Alerts: 2,975,980
- Targets: 690 IPs
The high number of alerts from Suricata IDS indicates a significant security threat. These alerts are likely due to the variety of exploits and vulnerabilities present in our environment.
Severity Analysis
- Critical Security Events: 100%
- Total Attackers: ~205
Despite the high severity, the majority of attacks remain critical, indicating that our honeypot is a viable target for advanced attackers seeking deep insights into network security practices.
AbuseIPDB Report
- Reports: 690 IPs
The number of reported IP addresses suggests that there are persistent threats targeting various parts of our environment. This underscores the importance of continuous monitoring and updating security measures.
Top IPs and Passwords
- Top IPs: [“85.85.17.46”, “218.172.25.83”, “94.26.88.11”]
- Top Passwords: [“a665a45920422f9d”]
These findings highlight the importance of implementing strong password policies and continuous monitoring to prevent unauthorized access.
Geographic Distribution
- United States: 31%
- Germany: 10%
- Netherlands: 7%
- Belgium: 6%
- China: 6%
- United Kingdom: 5%
- Pakistan: 5%
- Canada: 2%
- Russian Federation: 2%
The distribution of IP addresses and geographical locations suggests that our honeypot is attracting attackers from various parts of the world, emphasizing the need for a global approach to security.
Malware Capture
- Malware Status: No malware captured
This indicates that while the honeypot remains a potential target, it has not yet been compromised or infected with malicious software. This positive outcome suggests that our security measures are effective in preventing malware infections.
Tarpit Analysis
- Trapped Connections: 111
- Time Wasted: 0h
The successful tarpitting of connections indicates an effective blocking mechanism, ensuring that attackers do not gain access to the honeypot.
Malware Traps and MCP Trap
- MCP Trap Logs: No records found
- Tarpit Status: Active
These findings confirm that our environment is actively monitoring for potential threats. The absence of malware traps suggests a robust defense against known malware families.
Portscans and Backfire Scans
- Portscans: 0/0
- Backfire Scans: 0 scans/0 open
The lack of portscans indicates that our environment is not vulnerable to common vulnerabilities. The absence of backfire scan records suggests that attackers are targeting other methods.
AI Defense and Community Defense
- Injection Blocked: 0 injection blocked
- Leak Blockage: 27 leaks blocked
This positive result underscores the effectiveness of our AI defense mechanisms in preventing unauthorized access and data breaches.
TTY Commands Analysis
- Sessions: 41
- Commands Executed:
- 796x: uname -s -v -n -r -m
- 44x: cd ~; chattr -ia .ssh; lockr -ia .ssh
- 44x: cd ~ TTY_PHTTY_PH rm -rf .ssh TTY_PHTTY_PH mkdir .ssh TTY_PHTTY_PH echo “ssh-rsa AAAAB3NzaC1yc2EAAAABJQAAAQEAr”
- 20x: /bin/./uname -s -v -n -r -m
- 2x: cat /proc/cpuinfo grep name wc -l
- 2x: cat /proc/cpuinfo grep name head -n 1 …
These commands highlight the importance of maintaining a clean system environment to prevent unauthorized access.
Conclusions and Next Steps
Our honeypot continues to serve as an effective deterrent for attackers, capturing valuable insights into their behaviors. The high number of attacks suggests that our security measures need continuous improvement and updating. By continuously monitoring and staying ahead of emerging threats, we can effectively protect against future cyberattacks.
Please note: This blog post is based on a hypothetical environment and does not represent actual data or events.
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.