Whatsapp-P2P-Traceroute

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Whatsapp-P2P-Traceroute

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This project aims to capture network traffic on a local network, filter out packets related to WhatsApp calls, and extract the public IP addresses of the devices participating in the call.

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# WhatsApp P2P Traceroute

A network traffic analyzer for **WhatsApp / Meta** flows. It captures packets on
an interface you control, filters traffic belonging to Meta's network
(AS32934), enriches every remote endpoint with **geolocation, ASN, and
reverse-DNS**, and flags **candidate peer-to-peer endpoints** — the non-Meta
public IPs seen during media traffic that are the only realistic way passive
capture can surface a real peer instead of a relay server.

> ⚠️ **Authorized / educational use only.**
> Capture only traffic on networks you own or have explicit permission to
> monitor. Using this to locate or deanonymize a person without consent may
> violate privacy and anti-stalking laws. You are responsible for lawful use.

---

## Reality check (read this first)

Modern WhatsApp voice/video calls are usually **relayed through Meta's TURN
servers**, so most IPs you capture are Meta's, not the other person's. A direct
peer IP only leaks in narrow peer-to-peer situations. This tool surfaces those
as `candidate_peer` records, but there is **no guarantee** any appear. Treat
"get someone's IP from WhatsApp" as mostly a myth — this project is a
traffic-analysis and learning tool, not a locator.

---

## Features

- **TCP + UDP capture** — signaling (443 / 5222) *and* media/STUN (UDP), not
  UDP-only.
- **Auto interface detection** — picks a working NIC automatically, or pass one
  explicitly with `--iface`.
- **Live Meta prefix refresh** — pulls the current AS32934 prefix list from
  RIPEstat (public BGP data), caches it for 24h, and falls back to a bundled
  seed list when offline. No more stale hardcoded ranges.
- **Geo + ASN enrichment** — MaxMind GeoLite2 City + ASN; database readers are
  opened once and results are LRU-cached. Degrades gracefully if the DBs are
  absent (no crash, just blank location).
- **Reverse-DNS labeling** — resolves hostnames and tags Meta-owned domains
  (`whatsapp`, `fbcdn`, `facebook`, …).
- **Peer heuristic scoring** — classifies each flow as **Meta relay**,
  **Remote**, or **candidate P2P peer** and scores it 0–100.
- **CSV + JSON reports** — per-IP aggregation (packets, bytes, ports, protocols,
  first/last seen, geo, ASN), ranked by score.
- **PCAP logging** — raw matched packets saved to `logs/packet_logs.pcap` for
  offline analysis in Wireshark.
- **Live web dashboard** — FastAPI + WebSocket, self-contained offline page with
  a geo map, live packet feed, and a ranked-remotes table.
- **Packaged & tested** — `pyproject.toml`, Docker support, and a `pytest` suite.

---

## Requirements

- **Python 3.10+**
- **Npcap** (Windows) or **libpcap** (Linux/macOS) — required for packet capture.
  Windows: install from [npcap.com](https://npcap.com).
- **Administrator / root** privileges to capture.
- *(Optional)* MaxMind **GeoLite2-City** and **GeoLite2-ASN** databases for
  location/ASN data — free account at
  [maxmind.com](https://www.maxmind.com/en/geolite2/signup).

---

## Install

```bash
git clone https://github.com/arshadakl/Whatsapp-P2P-Traceroute.git
cd Whatsapp-P2P-Traceroute

pip install -r requirements.txt          # or: pip install -e ".[dev]"
cp .env.example .env                      # optional tuning

# Optional: enable location/ASN data
#   download GeoLite2-City.mmdb + GeoLite2-ASN.mmdb into ./data/
```

---

## Usage

Run from an **elevated** terminal (Administrator on Windows, `sudo` on
Linux/macOS).

### CLI capture

```bash
# Capture 500 packets then write reports
python main.py --count 500

# Capture on a specific interface for 60 seconds
python main.py --iface "Wi-Fi" --timeout 60

# Run until Ctrl+C (count 0 = infinite)
python main.py

# Skip the online Meta-range refresh (fully offline)
python main.py --no-refresh
```

### Live dashboard

```bash
python main.py --dashboard
# open http://127.0.0.1:8000
```

Then place a **WhatsApp voice/video call** on a device on the same network and
watch flows appear live.

### All options

| Flag           | Default    | Description                              |
|----------------|------------|------------------------------------------|
| `--iface`      | auto       | Interface to sniff (blank = auto-detect) |
| `--count`      | `0`        | Packet count (`0` = until Ctrl+C)        |
| `--timeout`    | none       | Stop capture after N seconds             |
| `--no-refresh` | off        | Skip online Meta-prefix refresh          |
| `--dashboard`  | off        | Launch web dashboard instead of CLI      |

Environment overrides (in `.env`): `WIT_IFACE`, `WIT_COUNT`, `WIT_BPF`,
`WIT_HOST`, `WIT_PORT`, `WIT_RANGE_MAX_AGE`, `GEO_CITY_DB`, `GEO_ASN_DB`.

---

## Output

| File                       | Contents                                             |
|----------------------------|------------------------------------------------------|
| `output/ip_report.csv`     | Per-remote summary, ranked by score                  |
| `output/ip_report.json`    | Same data as JSON                                    |
| `logs/packet_logs.pcap`    | Raw matched packets (open in Wireshark)              |
| `data/meta_ranges.json`    | Cached AS32934 prefix list                           |

**Report columns:** `remote`, `packets`, `bytes`, `protocols`, `ports`,
`is_meta`, `candidate_peer`, `max_score`, `host`, `asn`, `org`, `country`,
`city`, `latitude`, `longitude`, `first_seen`, `last_seen`.

**Flow types:**
- 🟢 **Meta** — endpoint in Meta's network (relay/server). Expected majority.
- 🟡 **Remote** — public non-Meta endpoint, non-media.
- 🔴 **PEER?** (`candidate_peer`) — public non-Meta IP during media traffic;
  possible direct peer. The interesting signal.

---

## Docker

```bash
docker build -t wit .
docker run --rm --net=host --cap-add=NET_RAW --cap-add=NET_ADMIN \
  -p 8000:8000 wit --dashboard
```

---

## Tests

```bash
pytest
```

---

## Project structure

```
main.py              CLI entrypoint (capture | --dashboard)
config.py            env-driven settings + seed Meta ranges
core/
  meta_ranges.py     RIPEstat AS32934 prefix auto-refresh + cache
  ip_filter.py       guarded CIDR membership, pre-parsed networks
  classifier.py      packet -> enriched FlowRecord + peer scoring
  packet_sniffer.py  scapy capture, iface auto-detect, live callback
  reporting.py       per-IP aggregation -> CSV/JSON
  dns_resolver.py    cached reverse-DNS + Meta-hostname check
utils/
  geo_ip.py          GeoLite2 city+ASN, open-once, LRU cache
  helpers.py         logging, admin check, dir setup
dashboard/
  server.py          FastAPI + WebSocket server
  static/index.html  offline dashboard (canvas map + live feed)
tests/               pytest suite (ip_filter, classifier, reporting)
```

---

## Troubleshooting

| Symptom                                  | Fix                                                        |
|------------------------------------------|-----------------------------------------------------------|
| `No libpcap provider available`          | Install Npcap (Windows) / libpcap (Linux).                |
| `requires elevated privileges` / exits   | Run terminal as Administrator / use `sudo`.               |
| No packets captured                      | Wrong interface — pass `--iface "Wi-Fi"` explicitly.      |
| Blank city/country/ASN                   | Add GeoLite2 `.mmdb` files to `./data/`.                  |
| Only Meta IPs, no `PEER?`                | Expected — calls are relayed. P2P leak is rare.           |

---

## License

For authorized security research and education. Use responsibly and lawfully.

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