Data Obfuscation for C/C++ Code Based on Residue Number Coding (RNC)
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Updated
May 20, 2021 - C++
Data Obfuscation for C/C++ Code Based on Residue Number Coding (RNC)
LYAR is a forensic engine for deception detection built with Python (OOP/RegEx). It identifies linguistic distancing, narrative gaps & cognitive load. Features: automated weighted risk scoring, batch processing, visual data charts (Matplotlib), and professional HTML reports. Designed for security & investigative support.
Lightweight email relay and delivery platform built for applications, automation workflows, and transactional messaging. Provides a simple API for reliable email dispatch and integration into custom software systems.
💡 Battles in the world of C.
Styx FLF
Jenkins jobs to brute force OTP keys for NSA codebreaker challenge 2018
MCP server exposing Bawbel Scanner as agent-callable tools. Scan MCP servers, skill files, and system prompts for AVE vulnerabilities mid-conversation.
Designed and implemented a secure enterprise network for Brothers & Sisters Retail using Cisco Packet Tracer. Includes subnetting, VLANs, Inter-VLAN routing, OSPF, NAT/PAT, WLC with RADIUS authentication, DHCP, and Layer 2 security hardening.
Django authentication backend implementing Amnesia Honeywords for breach detection without a separate honeychecker. Stores k hashed candidates per user, flags logins using unmarked decoys, logs events, and emits signals for alerting. Integrates via settings + migrations; initialize users at signup/password change.
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