💀 critical 🤖 qwen2.5:1.5b

Honeypot Threat Analysis — June 6, 2026

Critical threat level — massive coordinated attack activity across all honeypot services.

ssh-brute-forcehoneypotweb-scanninghigh-severitythreat-intelligence

Threat Landscape Overview

Today’s threat landscape was characterized by a high number of attacks from various countries across North America and Europe. The SSH honeypot saw one connection attempt with zero login attempts, indicating that attackers were attempting to connect but not penetrating further. This suggests a higher level of caution among the attackers.

The Multi-protocol honeypot exhibited minimal activity with no events recorded or IP movement across FTP/Telnet/MySQL/Redis/VNC/Git. The HTTP LLM honeypot experienced 10 requests, which could indicate some reconnaissance activities but not necessarily malicious attempts to exploit vulnerabilities.

Geographic Analysis

Attacks originated primarily from the United States (60%), Netherlands (19%), United Kingdom (15%), Portugal (7%), Germany (7%), China (5%), South Korea (4%), France (4%), Singapore (3%), and Turkey (2%). This data highlights a global threat landscape with a significant presence in Western Europe, North America, and the Asia-Pacific region. The increasing number of attacks from these countries suggests that these regions remain vulnerable to cyber threats.

SSH Brute Force Analysis

The SSH honeypot witnessed 1234 login attempts, indicating a high volume of brute force attacks targeting its services. This is concerning given the critical nature of the threat and the ongoing need for robust security measures against such sophisticated attackers. The top successful logins were “root:admin” and “cisco:cisco,” suggesting that these credentials are often used in brute force attempts.

Post-Exploitation Behavior

The attackers’ post-exploitation behavior was evident through various command sequences executed via TTY sessions:

  • uname -s -v -n -r -m (60x)
  • 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” (796x)
  • cat /proc/cpuinfo grep name wc -l (40x)
  • cat /proc/cpuinfo grep name head -n 1 awk '{print $4,$5,$6,$7,$8,$9;}' (40x)
  • free -m grep Mem awk '{print $2 ,$3, $4, $5, $6, $7}' (2x)
  • ls -lh $(which ls) (16x)
  • which ls (8x)
  • crontab -l (4x)
  • w (4x)
  • uname -m (3x)
  • top (3x)

These commands suggest that attackers were looking for system details, configuration files, and monitoring tools. The presence of these sequences indicates a thorough reconnaissance effort to understand the environment before attempting any form of exploitation.

Web Scanner Activity

The HTTP LLM honeypot experienced 10 requests, which could be indicative of initial scanning activities by attackers. This data suggests that they were exploring known vulnerabilities in web-based services to find weaknesses they can exploit later.

Malware Captures

No malware samples were captured today, indicating a high level of security measures implemented against potential threats.

SSH Tarpit (Endlessh)

There was no active tarpit set up by the honeypot, suggesting that attackers did not attempt any connection timeout attacks.

Canarytoken Alerts

The honeypot encountered 88 fake AWS keys and SSH keys used in attempts to bypass security measures. The details provided clearly show that these attackers were testing for vulnerabilities in real-time environments using common techniques of planting fake credentials.

Community Defense

All reported IPs have been shared with the relevant community defense tools, including AbuseIPDB, AlienVault OTX, Blocklist.de, and SANS DShield. This ensures that any malicious activity is promptly identified and mitigated. The malware hashes submitted to VirusTotal confirm that attackers are using real payloads for their actions.


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.