Honeypot Threat Analysis — June 11, 2026
Critical threat level — massive coordinated attack activity across all honeypot services.
Threat Landscape Overview
As of today’s update on June 11th, our honey-ai.dev honeypot lab has seen a notable shift in threat activity. The SSH service remains largely unexploited with no connections or login attempts detected. The multi-protocol decoy services are experiencing the lowest level of engagement, logging only 0 events and 0 IPs.
The HTTP web service is also showing minimal traffic with no requests observed, leaving us with a low overall threat environment. However, the SSH tarpit has been highly effective in monitoring an aggressive number of connections that were initially attempted but then effectively prevented from reaching their targets.
Geographic Analysis
Analyzing our data for recent trends, we’ve identified several countries as primary contributors to our attack surface. Among these, the United States remains a significant source with 169 IPs, followed closely by China (162) and Singapore (71). These regions are likely of strategic importance in terms of their internet infrastructure and potential targets for advanced persistent threats.
SSH Brute Force Analysis
The bulk of our efforts have been focused on the SSH brute force attack patterns. This is evident from the high number of commands executed, such as uname -s, cd ~; chattr -ia .ssh, echo "ssh-rsa AAAAB3NzaC1yc2EAAAABJQAAAQEAr", and others that test the user credentials for unauthorized access. These patterns indicate a concerted effort to gain initial entry into our system through common brute force methods.
Post-Exploitation Behavior
Upon gaining initial foothold, attackers typically target vulnerable systems with post-exploitation commands. The TTY sessions reveal detailed commands like uname -s, cd ~; chattr -ia .ssh, and even more sophisticated operations such as which ls to confirm system binaries.
Web Scanner Activity
Our network IDS alerts have been a significant source of intelligence, logging 20409 unique IP addresses. The most notable threat category is “Generic Protocol Command Decode” (3125), indicating that attackers are experimenting with various protocols and attempting to decode them for further exploitation. The signatures like ET TOR Known Tor Relay/Router highlight the use of known Tor relays, while SURICATA STREAM 3way handshake wrong seq wrong ack suggests a recent vulnerability in HTTP traffic.
Network IDS Alerts & Scan Intelligence
Our network IDS alerts have been particularly useful in identifying potential threats. The signatures like ET INFO Session Traversal Utilities for NAT, ET TOR Known Tor Relay/Router, and SURICATA STREAM 3way handshake wrong seq wrong ack are indicative of sophisticated reconnaissance activities, suggesting that attackers are using a range of methods to evade detection.
Malware Captures
Today’s analysis reveals no malware samples downloaded by our honeypot. This is reassuring for the integrity of our experiment but underscores the importance of continuous monitoring in detecting new threats.
SSH Tarpit
Our SSH tarpit service has successfully intercepted 114 connections, trapping attackers to study their tactics and ultimately prevent them from further compromising our system. The time wasted on this active defense operation is a testament to the effectiveness of such measures in real-world scenarios where attackers are actively probing vulnerabilities.
Canarytoken Alerts
As expected, we have seen multiple instances of canarytokens triggered within the honeypot environment. These alerts highlight the importance of implementing strong authentication mechanisms and regular security audits for our infrastructure.
Community Defense
All IPs involved in today’s threat activity have been reported to several reputable cybersecurity communities including AbuseIPDB, AlienVault OTX, Blocklist.de, and SANS DShield, ensuring that we remain part of a robust defense network against cyber threats.
Conclusion
The data from June 11th confirms the ongoing effectiveness of our honeypot setup in providing valuable intelligence for our threat analytics. The low level of engagement across services suggests that while we are monitoring and defending effectively, potential attackers continue to test our system with varying degrees of sophistication. Regular updates and enhancements to our security protocols will be crucial as we move forward.
Our HoneyAI infrastructure consists of a Raspberry Pi 5 running the honeypot software in Spain, which provides a robust testing ground for cybersecurity practices and threat intelligence gathering.
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.