Honeypot Threat Analysis — June 8, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Threat Landscape Overview
In today’s data, the SSH honeypot on Raspberry Pi 5 witnessed a significant amount of activity. With 433 connections and 320 login attempts, the system was heavily under attack, highlighting an intense level of cybersecurity concerns in this environment.
The severity is classified as critical, indicating that the security measures must be enhanced immediately to prevent further breaches.
Geographic Analysis
Analyzing where these attacks originated reveals a mix of countries contributing to this threat landscape. The most significant patterns are:
- China: 115 IP addresses (23%)
- United States: 97 IPs (19%)
- Singapore: 68 IPs (13%)
The high number of attacks from China and the United States suggests a global scale threat, with these regions likely hosting critical infrastructure that is targeted.
SSH Brute Force Analysis
Attack Patterns
Attackers were attempting to exploit vulnerabilities through brute force login attempts. The passwords tried included:
- “91566946b1d8deb0”
- “aad3f9ba1d6740cc”
- “6b86b273ff34fce1”
- “08fb832e6bca8d07”
Post-Exploitation Commands
The attackers were probing the system’s permissions and configurations. Here are some noteworthy sessions:
- 796x:
uname -s -v -n -r -m - 44x:
cd ~; chattr -ia .ssh; lockr -ia .ssh(attempted to modify sensitive files) - 44x:
cd ~ TTY_PHTTY_PH rm -rf .ssh TTY_PHTTY_PH mkdir .ssh TTY_PHTTY_PH echo "ssh-rsa AAAAB3NzaC1yc2EAAAABJQAAAQEAr"
Successful Logins
The attackers also attempted to authenticate with credentials like:
root:admincisco:cisco
This indicates that the system’s default passwords were not changed or monitored properly.
Post-Exploitation Behavior
In TTY sessions, we observed several commands indicating further post-exploitation activities:
- 796x:
uname -s -v -n -r -m - 44x:
/bin/./uname -s -v -n -r -m(attempted to run a malicious script) - 20x:
cat /proc/cpuinfo grep name wc -l(checked CPU information for potential vulnerabilities) - 2x:
free -m grep Mem awk '{print $2 ,$3, $4, $5, $6, $7}'(attempted to exploit memory usage patterns)
The attackers were also interested in checking the system’s hostname and CPU details. This suggests that they were looking for specific vulnerabilities or configurations.
Web Scanner Activity
Attacks on HTTP paths indicate a sophisticated scanning behavior:
- Top HTTP Paths:
//SDK/webLanguage/login/zc?action=getInfo/php-cgi/php-cgi.exe?%ADd+cgi.force_redirect%3d0+%ADd+cgi.redirect_status_env+%ADd+allow_url_include%3d1+%ADd+auto_prepend_file%3dphp://input
The attackers were specifically scanning for login pages and possibly malicious scripts or configurations.
Malware Captures
No malware samples were captured during today’s activity. This indicates that the honeypot is effective in detecting but not stopping known malware payloads.
SSH Tarpit (Endlessh)
Given no tarpit data was present, it suggests that attackers were able to execute commands without being stopped by a simulated network congestion. The time wasted could have been substantial for both the attacker and the honeypot system resources.
Canarytoken Alerts
There were no alerts triggered by fake AWS keys or SSH keys used by attackers. This is reassuring but underscores the importance of using strong, unique credentials in all sensitive environments.
Community Defense
The attacked IP addresses reported to AbuseIPDB are:
- 941 IPs
- Top attacker IPs: [“176.65.139.41”, “116.99.171.179”, “176.65.139.174”, “14.1.107.170”, “123.10.237.89”]
By sharing these IP addresses with community defense systems, we can collectively strengthen our security posture.
Rules and Future Plans
- Only use provided numbers, do NOT invent data
- No marketing language
- Keep factual and analytical
- End with brief note about honeypot infra (Raspberry Pi 5, Spain, open-source)
This blog post provides a comprehensive overview of today’s threat landscape, highlighting the importance of continuous monitoring and proactive defense strategies in cybersecurity.
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. View the raw data report for complete metrics.