Honeypot Threat Analysis — October 9, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for October 9, 2026
Overview
On October 9, 2026, the honeypot system at honey-ai.dev was monitored through a Raspberry Pi 5. The log showed 437 SSH connections in total with 231 successful login attempts and 206 commands executed by attackers. Additionally, there were 5093 events involving multiple protocols (FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP) from 117 IPs. The Honey Pot detected 8407 alerts via Suricata IDS with 567 IPs involved in the incidents.
Severity and Threats
The total number of attackers identified was approximately 165, primarily due to a high critical severity level (critical). This indicates that there was an active network presence attempting to interact with the honeypot system. The primary threat vectors reported were SSH brute force attempts followed by web scanning activities.
Geographical Analysis
The top three countries involved in the attack came from United States (1400), China (402), and Germany (362). This suggests that the attackers are targeting locations with significant cybersecurity measures or a high volume of internet traffic. The geographical distribution indicates that these attacks might be coming from within the same region or possibly originating from different parts of Asia.
Top IP Addresses
The top 10 IPs involved in the attacks were: [“182.150.25.173”, “182.95.42.14”, “175.107.1.225”, “153.117.66.199”, “91.92.243.20”]. These IPs are associated with known malicious actors, indicating a high level of risk.
Top Passwords
The top passwords used by the attackers were: [“8c6976e5b5410415”, “computer”, “access”, “holliday”, “1Dave”]. The use of common passwords suggests that some attackers are targeting systems with weak password policies, which is a significant security risk.
HTTP Paths
The top HTTP paths utilized by the attacks were: [”/”, “/SDK/webLanguage”, “/login”, “/favicon.ico”, “/actuator/health”]. These paths indicate that the attackers are trying to interact with specific endpoints of the honeypot system, possibly for reconnaissance or testing purposes. This information is valuable for security analysts as it can be used to improve monitoring and response capabilities.
GeoIP Analysis
The total number of IPs involved in the attack was 4799, reflecting a broad geographical distribution. The United States (1400), China (402), Germany (362), Belgium (277), United Kingdom (250), Pakistan (224), Netherlands (186), Korea, Republic of (144), India (137), and Hong Kong (137) are the most active regions. This highlights the importance of a multi-geographical approach in cybersecurity defense.
Tarpit
The tarpit was effective as it trapped 103 connections from 35 IPs, wasting no time on any further analysis but only alerting the security team to potentially malicious activity. This is an important aspect of network monitoring that helps prevent potential DDoS attacks by redirecting traffic away from compromised systems.
Malware
There were no malware captured during the day, indicating a low risk profile in terms of malicious activities within this particular honeypot environment. This suggests either a clean or isolated environment for testing purposes.
Canarytokens and MCP Trap
Canarytokens triggered 6 rules, indicating that there was a need to secure these tokens against unauthorized access. The MCP trap detected 8 requests from 4 IPs using the Boto3 library in Python with a user-agent matching specific criteria. This suggests that security measures are effective at identifying suspicious behavior.
Portscans and SCP Trap
Portscans were not executed during this period, indicating no active port scanning activities within the honeypot environment. The MCP trap was also ineffective as there were no requests from 4 IPs using the specified tools.
AI Defense Rules
AI defense rules blocked 18 leaks but allowed all injections to pass through, suggesting that while AI defenses are effective in blocking certain types of attacks, they cannot prevent all forms of intrusion. This highlights a continuous need for advanced threat detection and response mechanisms.
TTY Commands
The number of sessions initiated using the tty command is significant at 41, indicating an active threat actor who attempts to escalate privileges through these commands. These commands are particularly dangerous as they can lead to unauthorized access to sensitive files or systems.
Summary
In summary, October 9, 2026, was a day of activity within the honeypot environment, with attackers primarily targeting locations in Asia and United States. The high number of attacks indicates that there is an active presence of malicious actors looking for vulnerabilities in the network infrastructure. The use of common passwords and known attack vectors suggests that these systems are not adequately protected against basic threats.
The geolocation data provides valuable insights into where the attackers originate, allowing for targeted security strategies to be implemented. The tarpit technique effectively identified potential threats without further investigation, while no malware was detected, indicating a low risk profile for this honeypot environment in terms of actual malicious activities.
Overall, the day’s activity highlights the ongoing need for robust cybersecurity measures and continuous monitoring to protect against evolving threats from both known and unknown sources.
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.