Honeypot Threat Analysis — July 4, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for July 4, 2026
Introduction
Today marks another significant day in cybersecurity activities on the honey-ai.dev honeypot using a Raspberry Pi 5. The system has logged over 226 unique attackers through various methods, with critical severity alerts reported by the intrusion detection system (IDS). This analysis will provide an overview of today’s threats and defenses employed.
Threat Overview
The day began with a flurry of SSH connections from IP addresses ranging from 124.72.114.148 to 15.235.132.243, followed by multi-protocol activities like FTP, Telnet, SMTP, MySQL, Redis, Git, and VNC. HTTP requests were also prevalent with paths including “/dispatch.asp”, “/SDK/webLanguage”, ”/”, “/login”, and “/goform/set_LimitClient_cfg”. The IDS reported 16650 alerts from 673 IPs, highlighting the system’s effectiveness in detecting malicious activities.
Geographic Analysis
Geographically, the majority of attacks originated from United States (918 IP addresses), China (475 IP addresses), Belgium (184 IP addresses), and Germany (132 IP addresses). Singapore and India also contributed with 108 and 93 IP addresses respectively. This distribution indicates a growing trend of targeted cyberattacks originating from Western countries.
SSH Brute Force
The system experienced several attempts to log into the SSH service, but none were successful due to proper authentication mechanisms in place. The brute force attacks suggest that attackers are attempting to compromise the system using common password hashes.
Post-Exploitation
Several sessions and commands were observed during post-exploitation activities, including “uname -s -v -n -r -m”, “cd ~; chattr -ia .ssh; lockr -ia .ssh”, “mkdir .ssh”, and “echo “ssh-rsa AAAAB3NzaC1yc2EAAAABJQ…”. These actions indicate that attackers may be attempting to gain lateral movement within the network, using default or common passwords for SSH access.
Web Scanning
The HTTP traffic included paths like “/dispatch.asp” and “/SDK/webLanguage”, which are commonly used in web applications. The presence of these paths suggests a potential vulnerability in the application’s configuration or misconfiguration that could be exploited.
IDS & Scan Intel
IDS reported over 16,000 alerts from 673 IPs, indicating a high volume of malicious activity on the network. This data underscores the importance of continuous monitoring and proactive threat detection systems to protect against evolving cyber threats.
Malware Analysis
Today’s system did not capture any malware samples or backdoor implants, which is encouraging but could indicate that the honeypot setup is effective in detecting common attack patterns rather than advanced persistent threats (APTs).
Tarpit & MCP Trap
The tarpit functionality on port 21 was enabled and successfully intercepted a total of 96 connections from 69 IPs. Additionally, the MCP trap detected an open port scan targeting IP addresses 216.226.76.10, 193.163.125.146, 64.89.163.92, and 195.96.139.204. These scans indicate a potential for further network reconnaissance.
Community Defense
Despite the numerous threats detected, there were no reported cases of community defense tools being used against the honeypot system. This suggests that while the defenses are effective in detecting malicious activity, they may be struggling to intercept actual attacks due to their effectiveness in blocking known attack patterns.
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.