Binary Pulsar

github.com/xosski/Binary-Pulsar/tree/main
🌌 Binary Pulsar
A covert payload assembler using entropy from packet loss patterns and volatile in-browser compilation. Defensive-first, offensive-possible.

✨ Overview
Binary Pulsar is a red-team simulation and defensive research toolkit that explores advanced methods of covert code delivery, reassembly, and execution in volatile memory contexts. Using IPv4/IPv6 header fields and entropy derived from packet loss patterns, Binary Pulsar demonstrates the feasibility of reassembling Base64-encoded payload fragments entirely in memory — without touching disk.

💡 Core Features
🔬 Entropy-Based Packet Assembly
Utilizes packet sequence gaps and timing irregularities to derive entropy used for payload ordering and validation.

🧠 Memory-Only Execution
Payloads are reconstructed and executed directly in browser memory using Function(atob(...)), minimizing digital footprint.

🛰️ IP-Tracked Packet Grouping
Packets are grouped by source IP, allowing for decentralized delivery and multichannel reassembly strategies.

🔒 Defensive Mode (Optional)
Simulates detection techniques like stack diffing and packet inspection to help blue teams prepare countermeasures.

✅ Consent & Ethical Toggle
Includes a "I own this environment" prompt prior to execution of any reassembled payload.

🛡️ Peer Consensus Validation
Binary Pulsar encourages ethical red team usage through a novel Peer Validation Framework:

User-Triggered Consent Gate
No payload executes without an explicit consent checkbox confirming ownership/control of the environment.

Signal-Based Flagging for Unsafe Payloads
Payloads can be tagged by community peers for analysis and classification.

Weighted Incentive Structure (Future Concept)
High-value nodes or participants that prioritize flagging or neutralizing illicit content (e.g., CSAM, arms trade data) can receive weighted consensus scores or tokens in a DAO-backed moderation model.

🔥 Why This Matters
Binary Pulsar isn’t just proof-of-concept—it’s a warning and a blueprint. The next generation of network exploitation won’t arrive in .zip files. It’ll ride inside the gaps. And our tools need to be ready before those ghosts arrive.

This tool showcases how:

Child exploitation content can be detected and invalidated at the packet level.

Illicit payloads (e.g., illegal weapons market code) can be flagged or filtered before reassembly.

Defensive researchers can analyze threat signatures before full execution occurs.

🚀 Getting Started
Install dependencies and run the toolkit in a secure test environment:
git clone https://github.com/yourhandle/binary-pulsar.git
cd binary-pulsar
npm install
npm run dev
Launch the GhostShell module via the UI to begin packet simulation or manually inject fragments via:
injectGhostFragment(index, base64Payload);
injectPacketData("seq|b64data|IPv4|sourceIP");
🧬 Future Vision
🛸 Zero-Knowledge Fragment Signing

📡 Tor / I2P Transmission Layer

⚛️ Quantum-Noise Seeded Entropy

🕊️ Global Moderation Ledger for Digital War Crimes Prevention

📜 License
MIT License — Fork freely, test ethically, and never forget:

The pen is still in your hand.
And the beam doesn’t stop just because the pulsar is silent.