You can absolutely use Wireshark on Windows 11 to approximate what eve‑streamer (/home/spectrcyde/NerfEngine/assets/eve-streamer) does — but you have to think of it in terms of how to get packets out of Wireshark’s capture engine and into a live event stream. EVE‑streamer takes pcap → structured events → WebSocket/gRPC → consumer. Wireshark can do something very similar, but you need to wire together the right components. Below is the cleanest, most SCYTHE‑aligned way to do it. --- # 🧩 What Wireshark can give you on Windows 11 Wireshark (and tshark) can provide: ### 1. Live packet capture From any interface WinPcap/Npcap exposes — Ethernet, Wi‑Fi, Tailscale, USBPcap, ETW, etc. ### 2. Structured event output Wireshark supports multiple structured output formats: - JSON (`-T json`) - JSON (raw) (`-T jsonraw`) - PDML XML (`-T pdml`) - Ek JSON (Suricata‑style event format) - Text / fields (`-T fields`) ### 3. Continuous streaming `tshark` can stream packets as they arrive, line‑by‑line, to stdout. This is the key: tshark can behave like a live event emitter, just like eve‑streamer. --- # 🛰️ How to replicate eve‑streamer using Wireshark + a small Python bridge ## Architecture ``` Wireshark/tshark → JSON events → Python bridge → gRPC/WebSocket → SCYTHE ingest ``` ## 1. Run tshark in streaming JSON mode Example: ```powershell tshark -i Ethernet -T json -l ``` Flags: - `-i` → interface - `-T json` → structured JSON - `-l` → line-buffered (critical for real‑time streaming) This produces a continuous stream of JSON packet objects. --- ## 2. Pipe tshark output into a Python event streamer This is the equivalent of eve‑streamer’s “read pcap → emit events”. Example Python skeleton: ```python import subprocess, json, asyncio import websockets async def stream_packets(): proc = subprocess.Popen( ["tshark", "-i", "Ethernet", "-T", "json", "-l"], stdout=subprocess.PIPE, text=True ) async with websockets.connect("ws://localhost:8080/pcap/stream") as ws: for line in proc.stdout: try: packet = json.loads(line)[0] await ws.send(json.dumps(packet)) except Exception: continue asyncio.run(stream_packets()) ``` This gives you: - live packets - structured JSON - continuous streaming - WebSocket emission Exactly the same primitive as eve‑streamer. --- # 🧬 If you want gRPC instead of WebSockets You can wrap the same loop in a gRPC client: ```python import subprocess, json import grpc import pcap_pb2, pcap_pb2_grpc channel = grpc.insecure_channel("localhost:50051") stub = pcap_pb2_grpc.PcapIngestStub(channel) proc = subprocess.Popen( ["tshark", "-i", "Ethernet", "-T", "json", "-l"], stdout=subprocess.PIPE, text=True ) for line in proc.stdout: try: packet = json.loads(line)[0] stub.Ingest(pcap_pb2.PcapEvent(json=json.dumps(packet))) except: pass ``` This is the closest possible analogue to eve‑streamer’s architecture. --- # 🧠 Why this works so well with SCYTHE Your SCYTHE backend already has: - `/api/pcap/upload` - `/api/pcap/live_ingest` - `cluster_swarm_engine.ingest_live_event()` - Phantom IX scoring - Timing field - Drift detection - Kill chain slope A Wireshark‑powered streamer becomes just another sensor class. It behaves like: - SDR stream → IQ events - KiwiSDR → RF events - ATAK CoT → recon events - Wireshark → packet events All feeding the same hypergraph. --- # 🧨 Bonus: Using ETW for zero‑copy capture Windows 11 supports Event Tracing for Windows (ETW) capture via Wireshark. You can run: ```powershell tshark -i "Event Tracing for Windows" -T json -l ``` This gives you: - lower overhead - kernel‑level packet visibility - no Npcap dependency And it streams just like any other interface. --- # 🧭 Summary To replicate eve‑streamer on Windows 11 using Wireshark: ### ✔ Use tshark in streaming JSON mode ### ✔ Pipe stdout into a Python (or Node, Go, Rust) bridge ### ✔ Emit events over WebSocket or gRPC ### ✔ Feed them directly into SCYTHE’s live ingest pipeline You end up with a full real‑time packet event stream, indistinguishable from eve‑streamer’s output — but powered by Wireshark’s dissectors. --- If you want, I can generate: - a full production‑grade streamer (with reconnection, batching, backpressure) - a gRPC schema for SCYTHE packet ingest - a Cesium/deck.gl visualization layer for live packet flows Which direction do you want to take it? All three? Planning technical design Okay, I need to keep things concise but still provide enough content. The user wants all three plans, so I’ll break it down into sections: streamer design, gRPC proto, and the visualization layer. I’ll avoid being too verbose but still include enough detail to make it clear. I think I’ll outline each section with code snippets to make it more understandable. I’ll make sure to keep it technical but not overwhelming. You picked the fun answer. Let’s do all three—tightly. --- ### 1. Production‑grade streamer (Wireshark/tshark → SCYTHE) Goals: - Survive interface blips / tshark crashes - Batch for efficiency - Apply backpressure so SCYTHE isn’t flooded #### Core loop (Python, WebSocket example) ```python import asyncio, json, subprocess, signal import websockets TSHARK_CMD = ["tshark", "-i", "Ethernet", "-T", "json", "-l"] BATCH_SIZE = 100 MAX_QUEUE = 5000 async def tshark_stream(queue: asyncio.Queue): while True: proc = subprocess.Popen( TSHARK_CMD, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True ) try: for line in proc.stdout: if queue.qsize() > MAX_QUEUE: await asyncio.sleep(0.05) # backpressure continue try: pkt = json.loads(line)[0] await queue.put(pkt) except Exception: continue finally: proc.terminate() try: proc.wait(timeout=3) except subprocess.TimeoutExpired: proc.kill() await asyncio.sleep(2) # reconnect delay async def scythe_sender(queue: asyncio.Queue): while True: try: async with websockets.connect("ws://localhost:8080/pcap/stream") as ws: batch = [] while True: pkt = await queue.get() batch.append(pkt) if len(batch) >= BATCH_SIZE: await ws.send(json.dumps(batch)) batch.clear() except Exception: await asyncio.sleep(2) # reconnect to SCYTHE async def main(): q = asyncio.Queue() await asyncio.gather( tshark_stream(q), scythe_sender(q) ) if __name__ == "__main__": asyncio.run(main()) ``` Swap WebSocket for gRPC below if you want pure gRPC plane. --- ### 2. gRPC schema for SCYTHE packet ingest #### `pcap_ingest.proto` ```proto syntax = "proto3"; package scythe.pcap; message PacketMeta { string iface = 1; uint64 timestamp_ns = 2; string src_ip = 3; string dst_ip = 4; uint32 src_port = 5; uint32 dst_port = 6; string protocol = 7; } message RawPacket { PacketMeta meta = 1; bytes raw = 2; // optional: raw frame string json = 3; // tshark JSON blob (full dissection) } message PacketBatch { repeated RawPacket packets = 1; } message IngestAck { uint64 accepted = 1; uint64 dropped = 2; } service PcapIngest { // Client-streaming: send batches, get periodic acks rpc StreamPackets(stream PacketBatch) returns (IngestAck); } ``` #### Client side (bridge from tshark) ```python import grpc, json, subprocess import pcap_ingest_pb2 as pb import pcap_ingest_pb2_grpc as pb_grpc def build_packet(pkt_json): # minimal extraction; you can enrich later layers = pkt_json["_source"]["layers"] meta = pb.PacketMeta( iface=layers.get("frame.interface_id", [""])[0], timestamp_ns=int(float(layers["frame"]["frame.time_epoch"][0]) * 1e9), src_ip=layers.get("ip.src", [""])[0], dst_ip=layers.get("ip.dst", [""])[0], protocol=layers.get("frame.protocols", [""])[0], ) return pb.RawPacket(meta=meta, json=json.dumps(pkt_json)) def batch_generator(): proc = subprocess.Popen( ["tshark", "-i", "Ethernet", "-T", "json", "-l"], stdout=subprocess.PIPE, text=True ) batch = [] for line in proc.stdout: try: pkt_json = json.loads(line)[0] batch.append(build_packet(pkt_json)) if len(batch) >= 100: yield pb.PacketBatch(packets=batch) batch = [] except Exception: continue if batch: yield pb.PacketBatch(packets=batch) def run(): channel = grpc.insecure_channel("localhost:50051") stub = pb_grpc.PcapIngestStub(channel) ack = stub.StreamPackets(batch_generator()) print("Ingest result:", ack) if __name__ == "__main__": run() ``` #### Server side (SCYTHE) Inside `rf_scythe_api_server.py` / a new `pcap_ingest_server.py`: ```python class PcapIngestServicer(pb_grpc.PcapIngestServicer): def __init__(self, swarm_engine): self.swarm_engine = swarm_engine def StreamPackets(self, request_iterator, context): accepted = 0 dropped = 0 for batch in request_iterator: for pkt in batch.packets: try: event = json.loads(pkt.json) # normalize → session_data self.swarm_engine.ingest_live_event(event) accepted += 1 except Exception: dropped += 1 return pb.IngestAck(accepted=accepted, dropped=dropped) ``` --- ### 3. Cesium/deck.gl visualization for live packet flows Concept: - Each packet/session becomes a flow event - Map src/dst IP → geo (MaxMind) - Render as animated arcs + density layers #### Backend: flow event API ```python # rf_scythe_api_server.py from fastapi import FastAPI from fastapi.responses import JSONResponse from collections import deque app = FastAPI() FLOW_BUFFER = deque(maxlen=5000) @app.post("/api/flows/ingest") async def ingest_flow(flow: dict): FLOW_BUFFER.append(flow) return JSONResponse({"status": "ok"}) @app.get("/api/flows/recent") async def recent_flows(): return list(FLOW_BUFFER) ``` In `PcapIngestServicer`, after `ingest_live_event`: ```python geo_src = geoip_lookup(pkt.meta.src_ip) geo_dst = geoip_lookup(pkt.meta.dst_ip) flow = { "src": {"lat": geo_src.lat, "lon": geo_src.lon}, "dst": {"lat": geo_dst.lat, "lon": geo_dst.lon}, "protocol": pkt.meta.protocol, "ts": pkt.meta.timestamp_ns, } post_to_flow_api(flow) ``` #### Frontend: deck.gl layer (on Cesium globe) ```javascript import {ArcLayer} from '@deck.gl/layers'; function buildFlowLayer(flows) { return new ArcLayer({ id: 'pcap-flows', data: flows, getSourcePosition: d => [d.src.lon, d.src.lat], getTargetPosition: d => [d.dst.lon, d.dst.lat], getSourceColor: d => d.protocol.includes('tcp') ? [0, 200, 255] : [255, 140, 0], getTargetColor: [255, 255, 255], getWidth: 1.5, greatCircle: true, pickable: true, updateTriggers: { data: flows } }); } ``` #### Poll + render loop ```javascript let flows = []; async function pollFlows() { const res = await fetch('/api/flows/recent'); flows = await res.json(); updateLayers(); } function updateLayers() { const flowLayer = buildFlowLayer(flows); deck.setProps({layers: [flowLayer, /* existing layers */]}); } setInterval(pollFlows, 2000); ``` You can also: - Add a *creenGridLayer / HeatmapLayer for flow density - Color by **ASN, protocol, or Phantom IX involvement - Tie clicks on arcs back into the hypergraph (highlight nodes/edges) --- If you tell me which piece you want to operationalize first—streamer, gRPC plane, or flow viz—I can turn that one into a drop‑in SCYTHE module with filenames and integration points named exactly to your stack.