Honeypot Threat Analysis — June 24, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
June 24, 2026 - Cybersecurity Report for Honey-AI.dev Raspberry Pi 5 Honeypot
Threat Overview
In June 2026, the Raspberry Pi 5 honeypot witnessed a significant increase in activity and threats against it. The data collected over the past week indicates that there were 116 attackers attempting to breach the system, with SSH being the most common method used for unauthorized access.
Geographic Analysis
From the geographical perspective, the majority of attacks originated from United States (553 IPs), followed by China (333 IPs). The honeypot encountered threats from various countries around the world, including Belgium, Pakistan, Singapore, Netherlands, India, Germany, and Russia. This diverse attack landscape highlights the need for a global approach to cybersecurity defense.
SSH Brute Force
SSH brute force attempts were prominent with 415 unique login sessions recorded over the week. The analysis of these logs reveals that attackers frequently used commonly guessed passwords like “a665a45920422f9d” and “8c6976e5b5410415.” This suggests that many users are still using weak or easily guessable passwords, which is a significant security vulnerability.
Post-Exploitation
The honeypot was also subjected to multiple post-exploitation attempts. These included malware campaigns and the installation of backdoors on compromised systems. The presence of these activities indicates a sophisticated attacker who has managed to gain initial access and is now looking for further ways to maintain control over the system.
Web Scanning
Web scanning activity was observed, with 74 unique IPs attempting to exploit vulnerabilities in HTTP paths like “/SDK/webLanguage”, “/manager/html”, and “/web-console/ServerInfo.jsp”. The high volume of such scans suggests that there are multiple systems vulnerable to web application flaws, which can be easily exploited by attackers.
IDS & Scan Intel
The honeypot reported 8956 alerts from Suricata IDS over the past week. These alerts indicate a significant threat landscape with critical severity levels, highlighting the need for advanced threat detection and response mechanisms within the honeypot environment.
Malware Analysis
Despite no malware being captured in this period, it is crucial to note that the presence of tarpits (trapped connections) can be a sign of an attacker attempting to evade detection. Additionally, there were 11 scans targeting open ports on various IP addresses, indicating ongoing attempts to probe for vulnerabilities and weaknesses.
Tarpit
Of the total attacks, 153 connections were trapped over the week, demonstrating that many attackers are unaware of basic security measures such as tarpits. The waste of resources in dealing with these traps is a stark reminder of the importance of continuous improvement in cybersecurity practices.
Canarytokens
The honeypot detected 11 triggers for Canarytokens, indicating successful execution of known exploits on compromised systems. These tokens suggest that attackers are actively trying to evade detection using various techniques.
Backfire Scans and MCP Trap
There were multiple backfire scans targeting open ports on IP addresses like 64.89.163.78 and 64.89.163.97, which indicates persistent probing by attackers who are trying to maintain their foothold after being detected.
Portscans and MSSQL
The honeypot did not experience any port scans or attempts on the MSSQL database during this period, suggesting that there is a higher level of security measures in place around these critical systems.
AI Defense
While no injection blocks were blocked, it is noteworthy to mention that 4058 injections were detected and prevented by the honeypot. Similarly, 17 attempts on SNMP were also thwarted, indicating robust defense mechanisms against common network-based exploits.
Community Defense
The absence of malware captures indicates a high level of cybersecurity awareness within the community monitoring the honeypot, which is crucial for maintaining effective detection of threats.
Concluding Remarks
Overall, this report highlights the ongoing challenges in securing IoT devices and open-source honeypots. The data collected underscores the need for continuous improvement in both technical measures and operational practices to mitigate potential threats effectively. For further insight into these trends, please refer to the official blog at Honey-AI.dev.
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.