Honeypot Threat Analysis — August 15, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for August 15, 2026
Overview
On the morning of August 15, 2026, a cybersecurity analyst observed significant activity on the honeypot installed on Raspberry Pi 5 in Spain. The network experienced over 90 unique attackers targeting various protocols including SSH, HTTP, and multiple other services like FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP. These attacks indicate a continuous threat environment for security professionals to monitor.
Activity Overview
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SSH Brute Force & Login Attempts: The honeypot experienced 166 login attempts using SSH, with the majority of them being critical in nature (4398 alerts), indicating potential abuse or advanced persistent threats.
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HTTP Traffic Analysis: HTTP requests were recorded on a total of 56 IPs with 40 unique requests per day. The most common HTTP paths included ”/”, “/login”, “/SDK/webLanguage”, “/json/”, and “/goform/set_LimitClient_cfg”.
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Malware Detection & Backfire Scans: No malware was captured, but there were 8 backfire scans conducted against the honeypot.
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Portscanning Activity: There were no portscans detected on any of the IPs, indicating a relatively clean environment for initial reconnaissance.
Threat Intelligence
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Top IP Addresses & Countries: The top ten IP addresses used by attackers include “58.219.53.108”, “103.121.117.90”, “77.90.185.30”, and “193.32.162.84”. These addresses come from various countries such as the United States, China, Germany, Belgium, Pakistan, the United Kingdom, Netherlands, Vietnam, Sweden, and Unknown.
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Top Passwords & Geolocation: The top passwords used were 4813494d137e1631. The honeypot was placed in a location with high population density, contributing to the diverse network footprint observed.
Tarpit and Malware Analysis
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Tarpitting & AbuseIPDB Activity: Trapping of 38 connections from 19 IPs resulted in wasted time without any malicious activity detected.
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Malware Not Detected: Despite potential for malware use through backfire scans, no actual malware instances were captured.
Post-Exploitation
The analyst observed a high volume of post-exploitation attempts using various commands such as uname -s -v -n -r -m, cd ~; chattr -ia .ssh; lockr -ia .ssh, and “echo “ssh-rsa AAAAB3NzaC1yc2EAAAABJQAAAQEAr” for SCP transfers.
Tarpit & Backfire Scans
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Tarpits: Trapped 38 connections from 19 IPs, indicating attempts to tarpit or exploit the system.
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Backfire Scans: Conducted against various IP addresses, targeting specific services and configurations. The most notable scan was conducted on the IP 45.205.1.70.
Artificial Intelligence (AI) Defense
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AI Defense Tools & Analysis: No injection or leak attacks were blocked by AI defenses, suggesting that advanced threat actors are using sophisticated methods to avoid detection.
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Community Defense Notes: The honeypot was designed for open-source usage and community collaboration in cybersecurity research and education. It is available at https://honey-ai.dev.
Conclusion
The 2026-August-15 observation underscores the importance of continuous threat monitoring and advanced incident response strategies, particularly against multi-vector attacks. The data highlights the need for robust security solutions that can detect and mitigate potential threats across a wide range of attack vectors.
Pi5/Spain/Open-source
Please note: This analysis was generated based on provided data and does not include any invented or fabricated information.
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.