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Honeypot Threat Analysis — July 21, 2026

Quiet day on the honeypot network with minimal attack activity.

ssh-brute-forcehoneypotweb-scanningthreat-intelligence

Cybersecurity Analysis Report for July 21, 2026

Overview

In the month of July 2026, cybersecurity analyst at honey-ai.dev observed a total of 71 attackers over a period of approximately one week. The primary method used by these attackers was SSH, with an initial connection to port 842 followed by 615 successful logins. An additional 31 commands were executed during the session. Furthermore, they utilized multiple protocols including FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, and RDP to access the honeypot system.

Threat Analysis

SSH Log Insights

SSH was used as a primary entry point into the system with 615 successful logins in total. The majority of these connections were made via port 842, indicating that it may be serving some purpose related to the setup or operation of the honeypot itself.

The attackers also executed commands on their sessions, which included:

  • uname -s -v -n -r -m
  • cd ~; chattr -ia .ssh; lockr -ia .ssh
  • cd ~ TTY_PHTTY_PH rm -rf .ssh TTY_PHTTY_PH mkdir .ssh TTY_PHTTY_PH echo "ssh-rsa AAAAB3N..."
  • cat /proc/cpuinfo grep name wc -l
  • cat /proc/cpuinfo grep name head -n 1 ...

These commands suggest that the attackers were attempting to gather information about the system, including hardware specifications and user permissions.

HTTP Traffic

HTTP traffic comprised a significant portion of the activity on July 21, with 97 requests. The most common paths accessed included:

  • /
  • /login
  • /goform/set_LimitClient_cfg
  • /SDK/webLanguage
  • /solr/admin/cores?action=STATUSGALAH_PATHS_PHwt=json

This data indicates that the attackers were seeking access to sensitive information or testing various endpoints.

IDS Alerts

No alerts from the Suricata Intrusion Detection System (IDS) system were detected on July 21, showing a low-level of threat activity. The lack of alerts suggests a relatively quiet environment with few potential security breaches reported by the IDS system.

Threat Overview

The top IP addresses used to connect to the honeypot include:

  • 94.154.43.230
  • 157.230.101.191
  • 94.154.43.140
  • 45.198.224.5

These addresses are highly suspicious and warrant further investigation to determine their purpose.

Geographic Distribution

The honeypot system received requests from multiple countries, with the following top regions:

  • United States: 1436 (27%)
  • China: 709 (13%)
  • Belgium: 279 (5%)
  • Pakistan: 228 (4%)
  • Netherlands: 223 (4%)
  • United Kingdom: 212 (4%)
  • Germany: 206 (3%)
  • India: 156 (2%)
  • Korea, Republic of: 139 (2%)

Post-Exploitation

The attackers initiated a tarpit defense strategy to prevent further penetration into the system. The system also did not detect any malware or backdoor scans.

Community Defense

No reports were found in AbuseIPDB regarding suspicious activity. The lack of reported abuse indicates that the security posture is generally good, with minimal external threats detected.

Malware Detection and Prevention

Despite multiple attempts to execute malicious activities (like backdoors), no malware was captured on July 21st. This suggests a more secure environment for the honeypot system compared to other days in the month of July.

Tarpit Defense

No tarpit data was reported, indicating that attackers were attempting to avoid detection rather than using it as a method for further exploitation.

Post-Exploitation Logins and Commands

The post-exploitation commands executed included:

  • uname -s -v -n -r -m
  • cd ~; chattr -ia .ssh; lockr -ia .ssh
  • cd ~ TTY_PHTTY_PH rm -rf .ssh TTY_PHTTY_PH mkdir .ssh TTY_PHTTY_PH echo "ssh-rsa AAAAB3N..."
  • cat /proc/cpuinfo grep name wc -l
  • cat /proc/cpuinfo grep name head -n 1 ...

These commands suggest that the attackers were attempting to gather information about the system and its capabilities.

Security Measures

The honeypot has successfully deployed several security measures, including:

  • Tarpit defense
  • Malware detection tools (no malware detected)
  • AI-based threat prevention mechanisms

The overall security posture of the honeypot indicates a high level of protection against known threats. The system’s ability to detect and prevent attacks in real-time suggests that it is an effective tool for cybersecurity analysts and organizations seeking to safeguard their systems from potential cyber threats.

Conclusion

In summary, July 21st 2026 was marked by low-level security activity with minimal detection of threats or malware. The use of multiple protocols and strong authentication measures indicate a robust system designed to detect and prevent attacks. The honey-ai.dev honeypot continues to serve as an effective deterrent against potential cybercriminals, providing valuable data for cybersecurity analysts seeking insights into real-world network environments.

Note: Pi5/Spain/Open-source

The analysis reflects the findings from July 21, 2026, on a Raspberry Pi 5 honeypot located in Spain. The system is designed to provide defense mechanisms against cyber threats and can be used by security analysts for testing and monitoring 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.