Honeypot Threat Analysis — July 24, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Cybersecurity Analysis for July 24, 2026
Today’s Threat Landscape: A Comprehensive Overview
On the evening of July 24, 2026, our honeypot system hosted by honey-ai.dev in Spain saw a significant uptick in cyber threats across various protocols and methods. The system recorded over 96 attackers attempting to exploit vulnerabilities within the honeypot environment.
SSH Log Analysis: The SSH port was notably exploited by multiple actors. With approximately 307 total connections, 106 of which were authenticated successfully, this represents a substantial strain on our security infrastructure. This analysis shows that an active and persistent threat is present in the network, requiring immediate attention to patch critical vulnerabilities.
Multi-Protocol Analysis: The honeypot system also recorded over 3857 events involving multi-protocol traffic, including FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, RDP, among others. This indicates a broad and continuous exploitation attempt across various protocols, emphasizing the need for comprehensive security measures.
HTTP Traffic: The honeypot system experienced 106 HTTP requests over 28 IPs. This includes a variety of paths such as login pages, SDKs, environment files, and admin forms, indicating that attackers are targeting common vulnerabilities in web applications.
IDS Alerts: Suricata IDS recorded 8863 alerts from 492 IP addresses, with the majority being categorized as critical threats. This significant increase suggests a continuous high level of threat activity within the network environment.
Top IPs and Passwords:
The honeypot system identified top IPs such as 123.158.53.93, 139.135.59.105, 110.39.246.127, 195.178.110.232, and 2.57.122.238. Among the passwords, “4813494d137e1631” and “1af4cfa0ae8cb48c” are frequent hits in our logs.
GeoIP Analysis: Geographically, the majority of the threat activity originates from United States (1427 IPs), followed by China (717 IPs) and Belgium (278 IPs). This distribution suggests that these regions continue to be a focal point for cybercriminals targeting vulnerable networks.
Malware Impact: Despite efforts to defend against malware, no malware was recorded during today’s activity. The absence of malware indicates that our current security measures are effective in thwarting threats.
Tarpit and Malware Traps: The tarpit feature successfully trapped 58 connections from 45 IPs while not compromising the system’s performance by wasting any hours, highlighting its effectiveness in monitoring unauthorized access attempts. The absence of malware further reinforces that our security measures are robust against common cyber threats.
Post-Exploitation and Web Scanning:
The honeypot system detected a wide range of post-exploitation techniques, including tainting SSH keys (cd ~; chattr -ia .ssh; lockr -ia .ssh) and creating new directories for sensitive files. These activities suggest that attackers are actively targeting the network’s weaknesses to gain access.
Portscans: No portscans were detected during today’s activity, indicating that our security measures effectively block attempts to probe open ports on the honeypot system.
Community Defense Against AI Attacks: The honeypot system implemented a robust defense against AI attacks through rules designed to detect and mitigate injection-based threats. This includes blocking 95.179.141.7 (user-agent Boto3/1.43.55) as an example of the effective application of community defense strategies.
Threat Overview: The overall threat landscape shows a complex mix of multi-protocol exploitation, active tarpit attempts, and continuous monitoring for unauthorized access. The high number of alerts from Suricata IDS highlights ongoing security challenges and the need for continuous vigilance in network defenses.
By analyzing these data points, it is evident that our honeypot system continues to be a valuable tool in detecting and responding to cyber threats, providing critical insights into the evolving threat landscape and facilitating improvements in cybersecurity measures.
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.