High-Interaction Honeypots
Go-based systems built to observe behavior, collect indicators, and study attacker workflows.
Open threadHIGH-INTERACTION SECURITY LAB
WELCOME TO RCN
Honeypots in Go. Social engineering research. Web crawlers. Domain mistypos. Shadow projects built for learning, detection, and controlled experimentation.
STATUS
LIVE
STACK
HTML / CSS / JS / GO
FOCUS
DECEPTION / RESEARCH
rcn@shadow:~
> Loading archive...
> Initializing red grid...
> Mounting project index...
> Access level: observer
PROJECT INDEX
Builds from the RCN archive
Web Crawlers
Focused crawlers for discovery, indexing, and monitoring of hostile or deceptive infrastructure.
Open threadDomain MisTypos
Analysis of lookalike domains, typo abuse, and infrastructure patterns around deceptive naming.
Open threadFIELD NOTES
Research lanes
A1
Social Engineering
Controlled writeups on persuasion chains, pretexting patterns, and behavioral weak points.
B2
Detection Ideas
Trap logic, signal collection, automation hooks, and reporting concepts for defensive learning.
C3
Infrastructure Mapping
Pattern analysis around suspicious domains, crawled assets, and environmental fingerprints.
OPERATOR
About RCN
RCN is a dark-themed archive for hands-on cybersecurity experiments, deception infrastructure, research notes, and custom-built tools. The aesthetic is cinematic and hostile by design: ominous, mechanical, red-lit, and intentionally sharp.