Honeypot Threat Analysis — July 7, 2026

Cybersecurity Analysis of July 7, 2026

Threat Overview

On the evening of July 7, 2026, a cybersecurity analyst identified and analyzed a series of network activities targeting a Raspberry Pi honeypot located in Spain. The analysis reveals significant activity from various sources, including SSH brute force attempts, HTTP requests, IDS alerts, and more.

Activity Analysis

SSH Connections: 310 connections attempted with logins for the SSH service on port 22.
HTTP Requests: 129 unique HTTP requests initiated by different IP addresses, demonstrating a high level of traffic.
IDS Alerts: 6528 alerts logged by Suricata IDS system.
Multi-Protocol Activity: Multiple protocols including FTP, Telnet, SMTP, MySQL, Redis, Git, VNC, and RDP were detected on the honeypot. There were 8963 protocol-specific events logged.

Geographical Insights

The geographical distribution of attackers indicates a mix of countries with significant activity originating from the United States (1053 IPs), China (520 IPs), Belgium (218 IPs), Pakistan (171 IPs), Netherlands (167 IPs), Germany (155 IPs), United Kingdom (139 IPs), Singapore (114 IPs), India (98 IPs), and Sweden (86 IPs).

SSH Brute Force

The most striking activity was a series of brute force attempts on the SSH service, with 310 connections attempted. This suggests that an attacker is systematically trying to gain access to the honeypot.

Post-Exploitation Techniques

Shell Escapes: The analyst observed several instances where users were forced into their home directories and had their shell histories compromised. For example:
- 796x: uname -s -v -n -r -m
- 44x: cd ~; chattr -ia .ssh; lockr -ia .ssh
- 44x: cd ~ TTY_PHTTY_PH rm -rf .ssh TTY_PHTTY_PH mkdir .ssh TTY_PHTTY_PH echo "ssh-rsa AAAAB3NzaC1yc2EAAAABJQAAAQEAr"

Web Scanning

HTTP Paths: The analysis revealed specific paths that attackers were targeting, such as /dispatch.asp, /SDK/webLanguage, and the root directory /..

IDS & Scan Intel

The Suricata IDS system logged 6528 alerts across various protocols. This indicates a high level of intrusion attempts on the honeypot.

Malware Detection

No Malware Captured: The analysis found no evidence of malware being detected or actively used by any of the attackers.

Tarpit & Backfire Scans

Tarpit Activity: 125 connections were trapped, but there was no significant backfire scan activity observed.
Backfire Scan Targets: Multiple targets showed up to four scans per target (average time between scans: 00:43).

Malware Tokens and Canarytokens

Malware Tokens: No malware tokens or canarytokens were detected during this period.
Canarytokens: Triggers detected in the network, including an AWS token from IP 167.99.74.219 with a specific user-agent string.

MCP Trap and Portscans

MCP Trap: 7 requests logged by the honeypot.
Port Scans: No active port scans were detected, indicating that no targets had been actively scanned recently.

AI Defense & Community Protection

AI Defense: 0 injections blocked and 0 leaks blocked in the network traffic analysis.
Community Defense: The absence of malware or malicious activities suggests a robust community defense against potential threats.

Conclusion: Cybersecurity Report

On July 7, 2026, the Raspberry Pi honeypot located in Spain experienced a significant volume of activity from various attackers. While most of the traffic was benign and did not indicate any targeted attacks on the platform itself, it underscored the importance of robust security measures to protect such systems from potential intrusions.

The high number of brute force attempts highlights the need for stronger password policies and better monitoring tools to detect unauthorized access attempts. The presence of specific shell escapes suggests that users might be vulnerable without proper configuration or security patches in place.

Overall, while this period did not indicate any significant cyber threats, it serves as a reminder of ongoing cybersecurity challenges and the importance of continuous monitoring and updating security practices.

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.