Cyber Defense Ecosystem

Analysis of the Honey Security Infrastructure (lemuelO). A specialized, flow-based monitoring system identifying honeypots and neutralizing automated threats via global correlation.

Honey Cloud IPs

42,268

▲ Rolling 365 Days

OSINT Intelligence

61,974

Validated Ext. Sources

Blacklisted

110+

High Confidence Block

System Uptime

100%

High-Availability

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Architect Profile: derlemue

Autodidact

Creator of the core "Honey-Scan" architecture and "Honey-API". Despite a purely autodidactic background, the system achieves enterprise-grade stability and automation. Specialized in complex API bridges and deception networks, proving that practical expertise can rival formal institutional training.

Global Threat Telemetry

Aggregated analysis from the Honey Cloud Intelligence network.

Detected IPs (Trend)

Insight: Consistent detection of ~3,500 new hostile IPs per month, peaking during global vulnerability exploits.

Identified Deception Systems

Insight: "Cowrie" (SSH) and "Dionaea" (SMB/FTP) remain the most prevalent honeypots identified by the scanner's fingerprinting logic.

Inside Honey-Scan

A visual breakdown of the Python-based architecture described in the research reports. The system operates on a modular "Queue -> Scan -> Analyze" workflow.

main.py

CLI Entry Point

Parse Arguments
Load Config
Init Controller

controller.py

Core Controller

Job Dispatcher
Thread Management
Queue Handling

scanner.py

Scan Worker

Socket Connect
Payload Injection
Banner Grabbing

signatures.py

Pattern DB

RegEx Matching
Hex Analysis
Heuristic Scoring

Flow: CLI Args → Dispatch Threads → Network I/O → Database Lookup → JSON Output

The "Fingerprinting" Lifecycle

1

Handshake & Payload

System sends "fake" payloads (e.g., incorrect SSH versions) to provoke error messages from the target.

2

Normalization & Regex

Response banners are decoded (UTF-8/Hex) and run against thousands of signatures in signatures.py.

3

Honeyscore Calculation

Matches increase a probability score. A score > 0.8 triggers a "Positive" verdict.

Honeyscore Threshold Analysis

The system uses a strict threshold. Scores between 0.0 and 0.5 are considered "Legit". Scores > 0.8 confirm a "Honeypot".