Packet #14201106 Success

TRACEROUTE_APP packet from Sierra norte Madrid ⛰️🗼🌞 (SNM) to XiaoWatt c4c8 🌐🔌 (c4c8)

19
Total Receptions
19
Unique Gateways
0
Hop Count
37
Payload Bytes
Packet Information
Database ID: 14201106
Mesh Packet ID: 0x0f335767
Used for correlation across gateways
Timestamp: 2025-10-08 16:02:41 UTC
From Node: Sierra norte Madrid ⛰️🗼🌞 (SNM)
To Node: XiaoWatt c4c8 🌐🔌 (c4c8)
Success: Processed
Protocol: TRACEROUTE_APP
Port: 70
Gateway: GRN1-Base🗼🌐 (GRN1)
Channel: MediumSlow
RSSI: -101 dBm
SNR: -13.5 dBm
Hop Info: 0/3 hops
Start: 3, Limit: 3
Payload Data
Protocol: TRACEROUTE_APP
Size: 37 bytes
Decoded: Yes
Decoded Data:
Route Information
Route Path: XiaoWatt c4c8 🌐🔌 (c4c8) → [TLG] 📡🌐🔋🔌 (tlg0) → Sierra norte Madrid ⛰️🗼🌞 (SNM)
Hop Count: 2 hops
Status: Incomplete - Final destination not reached
SNR Towards: 0.0 dB -11.0 dB -7.75 dB
Route Visualization

Loading route map...

Map shows the geographic path if nodes have shared location data.
Traceroute Steps
Hop From Node To Node Distance SNR (dB) Direction Analysis
1 Sierra norte Madrid ⛰️🗼🌞 (SNM) XiaoWatt c4c8 🌐🔌 (c4c8) 39.19 km 0.0 dB Origin Hops
2 XiaoWatt c4c8 🌐🔌 (c4c8) [TLG] 📡🌐🔋🔌 (tlg0) 2.62 km -11.0 dB Relay Hops
3 [TLG] 📡🌐🔋🔌 (tlg0) Sierra norte Madrid ⛰️🗼🌞 (SNM) 41.71 km -7.75 dB Relay Hops
Traceroute incomplete - Final destination not reached
Total Forward Distance
83.53 km
Combined Traceroute Graph
Controls: Drag nodes to rearrange • Mouse wheel to zoom • Click and drag background to pan • Hover for details

Building graph...

Legend & Paths
Nodes
🔄 Router Node
📡 Gateway Node
🚀 Source Node
🎯 Target Node
Connections
RF Link
Gateway Connection
Direct Reception (0 hops)
Packet Paths
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Raw Packet Analysis
Complete field breakdown and MQTT privacy/exposure analysis
Packet Structure
MQTT Packet Flow:
ServiceEnvelope (MQTT layer) → MeshPacket (Mesh layer) → Decoded Payload (Application data)
Total Size:37 bytes
Gateway:!43b706e8
Channel:MediumSlow
Payload Type:TRACEROUTE_APP
Hop Count:Unknown / 3
Privacy Summary
Exposure Level:
Direct Message
Privacy Features:
✓ Direct LoRa transmission (not via MQTT)
✓ Targeted to specific node
+ 3 more...
Exposure Risks:
⚠ Packet visible to MQTT subscribers
⚠ RF signal metrics exposed (location inference possible)
MQTT ServiceEnvelope Fields

MQTT ServiceEnvelope contains the MeshPacket plus routing metadata

FieldValue
gateway_id !43b706e8
Node ID format
channel_id MediumSlow
packet MeshPacket (37 bytes)
Contains the actual mesh network packet
MeshPacket Fields

Core mesh packet with routing and payload information

FieldValueType
from 1129719940
Source node ID 		uint32
to 864535752
Target node ID 		uint32
decoded.portnum 70
TRACEROUTE_APP 		enum
decoded.payload_length 37 bytes size
hop_limit 3
Remaining hops allowed 		uint32
hop_start 3
Initial hop limit 		uint32
hops_taken 0
Calculated: hop_start - hop_limit 		derived
rx_rssi -101.0 dBm
Signal strength at gateway 		int32
rx_snr -13.50 dB
Signal quality at gateway 		float
rx_time 1759939359
Receive timestamp 		fixed32
via_mqtt False
Direct LoRa transmission 		bool
want_ack False
No ACK requested 		bool
priority Not set enum
delayed Not set enum
channel Not set uint32
pki_encrypted False
Standard encryption 		bool
next_hop Not set uint32
relay_node Not set uint32
tx_after Not set uint32
timestamp 1759939361.8281424
Unix timestamp 		uint32
MQTT Privacy & Exposure Analysis

Analysis of privacy features and exposure risks when packet is shared via MQTT

Exposure Level: Direct Message
Privacy Features:
  • ✓ Direct LoRa transmission (not via MQTT)
  • ✓ Targeted to specific node
  • ✓ Custom channel: MediumSlow
  • ✓ Gateway node ID tracked
  • ✓ Zero-hop: direct from source to MQTT gateway
Exposure Risks:
  • ⚠ Packet visible to MQTT subscribers
  • ⚠ RF signal metrics exposed (location inference possible)
MQTT-Specific Fields
Gateway ID: !43b706e8
Zero Hop Policy: Enabled
Direct gateway connection
Signal Metrics: RSSI: -101.0 dBm
SNR: -13.50 dB
Complete Payload Analysis

Detailed breakdown of all payload fields and decoded data

Payload Metadata:
Protocol:TRACEROUTE_APP
Size:37 bytes
Decoded: Yes
Complete Payload Data (JSON):
{ "route_nodes": [ 864535752, 3663956516, 1129719940 ], "snr_towards": [ 0.0, -11.0, -7.75 ], "route_back": [], "snr_back": [], "route_node_names": { "864535752": "XiaoWatt c4c8 🌐🔌 (c4c8)", "1129719940": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "3663956516": "[TLG] 📡🌐🔋🔌 (tlg0)" }, "traceroute_packet": { "packet_data": { "id": 14201106, "timestamp": 1759939361.8281424, "from_node_id": 1129719940, "to_node_id": 864535752, "portnum": 70, "portnum_name": "TRACEROUTE_APP", "gateway_id": "!43b706e8", "channel_id": "MediumSlow", "mesh_packet_id": 255022951, "rssi": -101, "snr": -13.5, "hop_limit": 3, "hop_start": 3, "payload_length": 37, "processed_successfully": 1, "raw_payload": "0a0cc8c48733248a63da84285643121500d4ffffffffffffffff01e1ffffffffffffffff01", "via_mqtt": 0, "want_ack": 0, "priority": 0, "delayed": 0, "channel_index": null, "rx_time": 1759939359, "pki_encrypted": 0, "next_hop": 0, "relay_node": 0, "tx_after": 0, "timestamp_str": "2025-10-08 16:02:41", "hop_count": 0, "has_payload": true, "success": 1, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "gateway_name": "GRN1-Base🗼🌐 (GRN1)", "gateway_location": { "node_id": 1136068328, "latitude": 40.3963904, "longitude": -3.4340864, "altitude": 670, "timestamp": 1760020695.4823892, "timestamp_str": "2025-10-09 14:38:15", "display_name": "GRN1-Base🗼🌐", "long_name": "GRN1-Base🗼🌐", "short_name": "GRN1", "hw_model": "HELTEC_WSL_V3" } }, "resolve_names": true, "packet_id": 14201106, "from_node_id": 1129719940, "to_node_id": 864535752, "timestamp": 1759939361.8281424, "gateway_id": "!43b706e8", "raw_payload": "0a0cc8c48733248a63da84285643121500d4ffffffffffffffff01e1ffffffffffffffff01", "hop_limit": 3, "hop_start": 3, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "route_data": { "route_nodes": [ 864535752, 3663956516, 1129719940 ], "snr_towards": [ 0.0, -11.0, -7.75 ], "route_back": [], "snr_back": [] }, "forward_path": { "path_type": "forward", "node_ids": [ 1129719940, 864535752, 3663956516, 1129719940 ], "node_names": [ "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "XiaoWatt c4c8 🌐🔌 (c4c8)", "[TLG] 📡🌐🔋🔌 (tlg0)", "Sierra norte Madrid ⛰️🗼🌞 (SNM)" ], "snr_values": [ 0.0, -11.0, -7.75 ], "hops": [ { "hop_number": 1, "from_node_id": 1129719940, "to_node_id": 864535752, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "snr": 0.0, "direction": "forward", "is_target_hop": false, "distance_meters": 39192.40544960985, "from_location_timestamp": 1759905004.0027487, "to_location_timestamp": 1759938435.7973762, "from_location_age_warning": "from 9.5h ago", "to_location_age_warning": "from 0.3h ago" }, { "hop_number": 2, "from_node_id": 864535752, "to_node_id": 3663956516, "from_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "to_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "snr": -11.0, "direction": "forward", "is_target_hop": false, "distance_meters": 2624.781139263936, "from_location_timestamp": 1759938435.7973762, "to_location_timestamp": 1759386658.1355054, "from_location_age_warning": "from 0.3h ago", "to_location_age_warning": "from 6.4d ago" }, { "hop_number": 3, "from_node_id": 3663956516, "to_node_id": 1129719940, "from_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -7.75, "direction": "forward", "is_target_hop": false, "distance_meters": 41708.92164895165, "from_location_timestamp": 1759386658.1355054, "to_location_timestamp": 1759905004.0027487, "from_location_age_warning": "from 6.4d ago", "to_location_age_warning": "from 9.5h ago" } ], "is_complete": false, "total_hops": 3 }, "return_path": null, "actual_rf_path": { "path_type": "forward_rf", "node_ids": [ 1129719940, 864535752, 3663956516 ], "node_names": [ "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "XiaoWatt c4c8 🌐🔌 (c4c8)", "[TLG] 📡🌐🔋🔌 (tlg0)" ], "snr_values": [ 0.0, -11.0, -7.75 ], "hops": [ { "hop_number": 1, "from_node_id": 1129719940, "to_node_id": 864535752, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "snr": 0.0, "direction": "forward_rf", "is_target_hop": false, "distance_meters": 39192.40544960985, "from_location_timestamp": 1759905004.0027487, "to_location_timestamp": 1759938435.7973762, "from_location_age_warning": "from 9.5h ago", "to_location_age_warning": "from 0.3h ago" }, { "hop_number": 2, "from_node_id": 864535752, "to_node_id": 3663956516, "from_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "to_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "snr": -11.0, "direction": "forward_rf", "is_target_hop": false, "distance_meters": 2624.781139263936, "from_location_timestamp": 1759938435.7973762, "to_location_timestamp": 1759386658.1355054, "from_location_age_warning": "from 0.3h ago", "to_location_age_warning": "from 6.4d ago" }, { "hop_number": 3, "from_node_id": 3663956516, "to_node_id": 1129719940, "from_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -7.75, "direction": "forward_rf", "is_target_hop": false, "distance_meters": 41708.92164895165, "from_location_timestamp": 1759386658.1355054, "to_location_timestamp": 1759905004.0027487, "from_location_age_warning": "from 6.4d ago", "to_location_age_warning": "from 9.5h ago" } ], "is_complete": false, "total_hops": 3 } }, "has_return_path": false, "is_complete": false, "forward_path_display": "Sierra norte Madrid ⛰️🗼🌞 (SNM) → XiaoWatt c4c8 🌐🔌 (c4c8) → [TLG] 📡🌐🔋🔌 (tlg0) → Sierra norte Madrid ⛰️🗼🌞 (SNM)", "return_path_display": null, "actual_rf_path_display": "Sierra norte Madrid ⛰️🗼🌞 (SNM) → XiaoWatt c4c8 🌐🔌 (c4c8) → [TLG] 📡🌐🔋🔌 (tlg0)", "forward_hops": [ { "hop_number": 1, "from_node_id": 1129719940, "to_node_id": 864535752, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "snr": 0.0, "direction": "forward", "is_target_hop": false, "distance_meters": 39192.40544960985, "from_location_timestamp": 1759905004.0027487, "to_location_timestamp": 1759938435.7973762, "from_location_age_warning": "from 9.5h ago", "to_location_age_warning": "from 0.3h ago" }, { "hop_number": 2, "from_node_id": 864535752, "to_node_id": 3663956516, "from_node_name": "XiaoWatt c4c8 🌐🔌 (c4c8)", "to_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "snr": -11.0, "direction": "forward", "is_target_hop": false, "distance_meters": 2624.781139263936, "from_location_timestamp": 1759938435.7973762, "to_location_timestamp": 1759386658.1355054, "from_location_age_warning": "from 0.3h ago", "to_location_age_warning": "from 6.4d ago" }, { "hop_number": 3, "from_node_id": 3663956516, "to_node_id": 1129719940, "from_node_name": "[TLG] 📡🌐🔋🔌 (tlg0)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -7.75, "direction": "forward", "is_target_hop": false, "distance_meters": 41708.92164895165, "from_location_timestamp": 1759386658.1355054, "to_location_timestamp": 1759905004.0027487, "from_location_age_warning": "from 6.4d ago", "to_location_age_warning": "from 9.5h ago" } ], "return_hops": [], "total_forward_distance": 83526.10823782544, "total_return_distance": null }
Complete Protobuf Decode (JSON)
{ "service_envelope": { "gateway_id": "!43b706e8", "channel_id": "MediumSlow", "packet": "MeshPacket (see mesh_packet below)" }, "mesh_packet": { "from": 1129719940, "to": 864535752, "id": 255022951, "rx_time": 1759939359, "rx_snr": -13.5, "rx_rssi": -101, "hop_limit": 3, "hop_start": 3, "via_mqtt": 0, "want_ack": 0, "priority": 0, "delayed": 0, "channel_index": null, "pki_encrypted": 0, "next_hop": 0, "relay_node": 0, "tx_after": 0, "decoded": { "portnum": 70, "payload": "0a0cc8c48733248a63da84285643121500d4ffffffffffffffff01e1ffffffffffffffff01", "want_response": null, "dest": null, "source": null, "request_id": null, "reply_id": null, "emoji": null, "parsed_payload": { "route": [ 864535752, 3663956516, 1129719940 ], "snr_towards": [ 0, -44, -31 ], "type": "protobuf", "portnum": "TRACEROUTE_APP", "message_class": "RouteDiscovery" } } } }
Raw Packet Data (37 bytes)
0a0cc8c48733248a63da84285643121500d4ffffffffffffffff01e1ffffffffffffffff01
Hex Analysis:
Size:37 bytes
Format:Protobuf (Protocol Buffers)
Encoding:Binary with varint and length-delimited fields
This is the raw protobuf-encoded payload as received from MQTT. The structure follows the Meshtastic protobuf schema definitions.
All Receptions
All gateways that received this packet
Correlation: Using Mesh Packet ID
Reception Locations

Loading reception map...

Map shows gateway locations that received this packet. Hop counts are displayed if available.
Gateway Time Offset RSSI SNR Hops Channel Timestamp Actions
GRN1-Base🗼🌐 (GRN1) Primary 0.000s
Reference 		-101.0 dBm -13.50 dB 0 MediumSlow 2025-10-08 16:02:41 Current
Karabanchel_Baldur (KarB) +1.524s
After 		-107.0 dBm -16.75 dB 1 MediumSlow 2025-10-08 16:02:43 View
Venturada2🗼🌐☀️ (Vb2) +1.527s
After 		-102.0 dBm -3.50 dB 1 MediumSlow 2025-10-08 16:02:43 View
Carbon EA4HKU (C) +1.718s
After 		-107.0 dBm 1.50 dB 1 MediumSlow 2025-10-08 16:02:43 View
Meshtastic 1760 (1760) +1.829s
After 		-122.0 dBm -3.75 dB 1 MediumSlow 2025-10-08 16:02:43 View
XiaoWatt c4c8 🌐🔌 (c4c8) +2.291s
After 		-95.0 dBm 1.75 dB 2 MediumSlow 2025-10-08 16:02:44 View
Meshtastic 18a4 (18a4) +2.325s
After 		Unknown Unknown 2 MediumSlow 2025-10-08 16:02:44 View
RodasCard📱🌐 (RDSc) +2.600s
After 		-106.0 dBm -1.75 dB 1 MediumSlow 2025-10-08 16:02:44 View
Kenobi23 QTH (5aec) +2.934s
After 		-99.0 dBm -2.00 dB 1 MediumSlow 2025-10-08 16:02:44 View
Ortem 🚀 2b88 (2b88) +3.010s
After 		-110.0 dBm -6.00 dB 2 MediumSlow 2025-10-08 16:02:44 View
tizon (Sylv) +3.438s
After 		-124.0 dBm -12.00 dB 2 MediumSlow 2025-10-08 16:02:45 View
🌐Charly Unid Movil🛰 (C181) +4.841s
After 		-118.0 dBm -15.50 dB 3 MediumSlow 2025-10-08 16:02:46 View
Monolito (MoN) +4.843s
After 		-67.0 dBm 8.25 dB 3 MediumSlow 2025-10-08 16:02:46 View
Kenobi23 movil (5672) +4.847s
After 		-48.0 dBm 9.00 dB 2 MediumSlow 2025-10-08 16:02:46 View
Oxygen EA4HKU (O) +5.017s
After 		-62.0 dBm 8.25 dB 2 MediumSlow 2025-10-08 16:02:46 View
Ocumare_Base_🗼🌐 (CATA) +5.317s
After 		-82.0 dBm 7.25 dB 2 MediumSlow 2025-10-08 16:02:47 View
Meshtastic 54a4 Justicia (54a4) +5.598s
After 		-118.0 dBm -14.00 dB 2 MediumSlow 2025-10-08 16:02:47 View
[TLG] 📡🌐🔋🔌 (tlg0) +6.198s
After 		-112.0 dBm -6.75 dB 3 MediumSlow 2025-10-08 16:02:48 View
Quass001 ☄️ (Q001) +8.239s
After 		-117.0 dBm -14.25 dB 3 MediumSlow 2025-10-08 16:02:50 View
19

Total Receptions

19

Unique Gateways