Packet #28305262 Success

TRACEROUTE_APP packet from Toledo1 (TO1) to Venturada movil🚗 (Vm)

29
Total Receptions
29
Unique Gateways
0
Hop Count
42
Payload Bytes
Packet Information
Database ID: 28305262
Mesh Packet ID: 0x75de7122
Used for correlation across gateways
Timestamp: 2025-12-17 17:00:48 UTC
From Node: Toledo1 (TO1)
To Node: Venturada movil🚗 (Vm)
Success: Processed
Protocol: TRACEROUTE_APP
Port: 70
Gateway: Villarejo01 (VIL1)
Channel: MediumFast
RSSI: -119 dBm
SNR: -15.5 dBm
Hop Info: 0/4 hops
Start: 4, Limit: 4
Relay Node: 61 TO1
Last byte of the last hop that relayed this packet - Candidate source node(s) based on 0-hop direct receptions
Payload Data
Protocol: TRACEROUTE_APP
Size: 42 bytes
Decoded: Yes
Decoded Data:
Route Information
Route Path: Sierra norte Madrid ⛰️🗼🌞 (SNM) !ffffffff
Hop Count: 1 hops
Status: Complete
SNR Towards: -9.5 dB -32.0 dB -17.5 dB
Route Visualization
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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 Toledo1 (TO1) Sierra norte Madrid ⛰️🗼🌞 (SNM) 112.67 km -9.5 dB Origin Hops
2 Sierra norte Madrid ⛰️🗼🌞 (SNM) !ffffffff Unknown -32.0 dB Destination Hops
Total Forward Distance
112.67 km
Combined Traceroute Graph
Controls: Drag nodes to rearrange • Mouse wheel to zoom • Click and drag background to pan • Hover for details
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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:42 bytes
Gateway:!9e75d86c
Channel:MediumFast
Payload Type:TRACEROUTE_APP
Hop Count:Unknown / 4
Privacy Summary
Exposure Level:
Direct Message
Privacy Features:
✓ Direct LoRa transmission (not via MQTT)
✓ Acknowledgment requested
+ 4 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 !9e75d86c
Node ID format
channel_id MediumFast
packet MeshPacket (42 bytes)
Contains the actual mesh network packet
MeshPacket Fields

Core mesh packet with routing and payload information

FieldValueType
from 3703763553
Source node ID
uint32
to 587411239
Target node ID
uint32
decoded.portnum 70
TRACEROUTE_APP
enum
decoded.payload_length 42 bytes size
hop_limit 4
Remaining hops allowed
uint32
hop_start 4
Initial hop limit
uint32
hops_taken 0
Calculated: hop_start - hop_limit
derived
rx_rssi -119.0 dBm
Signal strength at gateway
int32
rx_snr -15.50 dB
Signal quality at gateway
float
rx_time 1765990846
Receive timestamp
fixed32
via_mqtt False
Direct LoRa transmission
bool
want_ack True
Acknowledgment 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 97
Relay node ID
uint32
tx_after Not set uint32
timestamp 1765990848.3337767
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)
  • ✓ Acknowledgment requested
  • ✓ Targeted to specific node
  • ✓ Custom channel: MediumFast
  • ✓ 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
Want ack: True
Gateway ID: !9e75d86c
Zero Hop Policy: Enabled
Direct gateway connection
Signal Metrics: RSSI: -119.0 dBm
SNR: -15.50 dB
Complete Payload Analysis

Detailed breakdown of all payload fields and decoded data

Payload Metadata:
Protocol:TRACEROUTE_APP
Size:42 bytes
Decoded: Yes
Complete Payload Data (JSON):
{ "route_nodes": [ 1129719940, 4294967295 ], "snr_towards": [ -9.5, -32.0, -17.5 ], "route_back": [], "snr_back": [], "route_node_names": { "3703763553": "Toledo1 (TO1)", "1129719940": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "587411239": "Venturada movil🚗 (Vm)", "4294967295": "!ffffffff" }, "traceroute_packet": { "packet_data": { "id": 28305262, "timestamp": 1765990848.3337767, "from_node_id": 3703763553, "to_node_id": 587411239, "portnum": 70, "portnum_name": "TRACEROUTE_APP", "gateway_id": "!9e75d86c", "channel_id": "MediumFast", "mesh_packet_id": 1977512226, "rssi": -119, "snr": -15.5, "hop_limit": 4, "hop_start": 4, "payload_length": 42, "processed_successfully": 1, "raw_payload": "0a0884285643ffffffff121edaffffffffffffffff0180ffffffffffffffff01baffffffffffffffff01", "via_mqtt": 0, "want_ack": 1, "priority": 0, "delayed": 0, "channel_index": null, "rx_time": 1765990846, "pki_encrypted": 0, "next_hop": 0, "relay_node": 97, "tx_after": 0, "timestamp_str": "2025-12-17 17:00:48 UTC", "hop_count": 0, "has_payload": true, "success": 1, "from_node_name": "Toledo1 (TO1)", "to_node_name": "Venturada movil🚗 (Vm)", "relay_hex": "61", "relay_candidates": [ { "node_id": 3703763553, "node_name": "Toledo1", "hex_id": "!dcc2f261", "short_name": "TO1", "last_byte": "61" } ], "gateway_name": "Villarejo01 (VIL1)", "gateway_location": { "node_id": 2658523244, "latitude": 40.1670144, "longitude": -3.2833536, "altitude": 782, "timestamp": 1766054479.861101, "timestamp_str": "2025-12-18 10:41:19", "display_name": "Villarejo01", "long_name": "Villarejo01", "short_name": "VIL1", "hw_model": "HELTEC_V3" } }, "resolve_names": true, "packet_id": 28305262, "from_node_id": 3703763553, "to_node_id": 587411239, "timestamp": 1765990848.3337767, "gateway_id": "!9e75d86c", "raw_payload": "0a0884285643ffffffff121edaffffffffffffffff0180ffffffffffffffff01baffffffffffffffff01", "hop_limit": 4, "hop_start": 4, "from_node_name": "Toledo1 (TO1)", "to_node_name": "Venturada movil🚗 (Vm)", "route_data": { "route_nodes": [ 1129719940, 4294967295 ], "snr_towards": [ -9.5, -32.0, -17.5 ], "route_back": [], "snr_back": [] }, "forward_path": { "path_type": "forward", "node_ids": [ 3703763553, 1129719940, 4294967295 ], "node_names": [ "Toledo1 (TO1)", "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "!ffffffff" ], "snr_values": [ -9.5, -32.0, -17.5 ], "hops": [ { "hop_number": 1, "from_node_id": 3703763553, "to_node_id": 1129719940, "from_node_name": "Toledo1 (TO1)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -9.5, "direction": "forward", "is_target_hop": false, "distance_meters": 112670.00222541974, "from_location_timestamp": 1765988844.1234488, "to_location_timestamp": 1765988929.8354003, "from_location_age_warning": "from 0.6h ago", "to_location_age_warning": "from 0.5h ago" }, { "hop_number": 2, "from_node_id": 1129719940, "to_node_id": 4294967295, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "!ffffffff", "snr": -32.0, "direction": "forward", "is_target_hop": false, "distance_meters": null, "from_location_timestamp": null, "to_location_timestamp": null, "from_location_age_warning": "No location data available", "to_location_age_warning": "No location data available" } ], "is_complete": false, "total_hops": 2 }, "return_path": null, "actual_rf_path": { "path_type": "forward_rf", "node_ids": [ 587411239, 1129719940, 4294967295, 3703763553 ], "node_names": [ "Venturada movil🚗 (Vm)", "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "!ffffffff", "Toledo1 (TO1)" ], "snr_values": [ -9.5, -32.0, -17.5 ], "hops": [ { "hop_number": 1, "from_node_id": 587411239, "to_node_id": 1129719940, "from_node_name": "Venturada movil🚗 (Vm)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -9.5, "direction": "forward_rf", "is_target_hop": false, "distance_meters": 27360.29797527407, "from_location_timestamp": 1765988928.3928156, "to_location_timestamp": 1765988929.8354003, "from_location_age_warning": "from 0.5h ago", "to_location_age_warning": "from 0.5h ago" }, { "hop_number": 2, "from_node_id": 1129719940, "to_node_id": 4294967295, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "!ffffffff", "snr": -32.0, "direction": "forward_rf", "is_target_hop": false, "distance_meters": null, "from_location_timestamp": null, "to_location_timestamp": null, "from_location_age_warning": "No location data available", "to_location_age_warning": "No location data available" }, { "hop_number": 3, "from_node_id": 4294967295, "to_node_id": 3703763553, "from_node_name": "!ffffffff", "to_node_name": "Toledo1 (TO1)", "snr": -17.5, "direction": "forward_rf", "is_target_hop": false, "distance_meters": null, "from_location_timestamp": null, "to_location_timestamp": null, "from_location_age_warning": "No location data available", "to_location_age_warning": "No location data available" } ], "is_complete": true, "total_hops": 3 } }, "has_return_path": false, "is_complete": true, "forward_path_display": "Toledo1 (TO1) → Sierra norte Madrid ⛰️🗼🌞 (SNM) → !ffffffff", "return_path_display": null, "actual_rf_path_display": "Venturada movil🚗 (Vm) → Sierra norte Madrid ⛰️🗼🌞 (SNM) → !ffffffff → Toledo1 (TO1)", "forward_hops": [ { "hop_number": 1, "from_node_id": 3703763553, "to_node_id": 1129719940, "from_node_name": "Toledo1 (TO1)", "to_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "snr": -9.5, "direction": "forward", "is_target_hop": false, "distance_meters": 112670.00222541974, "from_location_timestamp": 1765988844.1234488, "to_location_timestamp": 1765988929.8354003, "from_location_age_warning": "from 0.6h ago", "to_location_age_warning": "from 0.5h ago" }, { "hop_number": 2, "from_node_id": 1129719940, "to_node_id": 4294967295, "from_node_name": "Sierra norte Madrid ⛰️🗼🌞 (SNM)", "to_node_name": "!ffffffff", "snr": -32.0, "direction": "forward", "is_target_hop": false, "distance_meters": null, "from_location_timestamp": null, "to_location_timestamp": null, "from_location_age_warning": "No location data available", "to_location_age_warning": "No location data available" } ], "return_hops": [], "total_forward_distance": 112670.00222541974, "total_return_distance": null }
Complete Protobuf Decode (JSON)
{ "service_envelope": { "gateway_id": "!9e75d86c", "channel_id": "MediumFast", "packet": "MeshPacket (see mesh_packet below)" }, "mesh_packet": { "from": 3703763553, "to": 587411239, "id": 1977512226, "rx_time": 1765990846, "rx_snr": -15.5, "rx_rssi": -119, "hop_limit": 4, "hop_start": 4, "via_mqtt": 0, "want_ack": 1, "priority": 0, "delayed": 0, "channel_index": null, "pki_encrypted": 0, "next_hop": 0, "relay_node": 97, "tx_after": 0, "decoded": { "portnum": 70, "payload": "0a0884285643ffffffff121edaffffffffffffffff0180ffffffffffffffff01baffffffffffffffff01", "want_response": null, "dest": null, "source": null, "request_id": null, "reply_id": null, "emoji": null, "parsed_payload": { "route": [ 1129719940, 4294967295 ], "snr_towards": [ -38, -128, -70 ], "type": "protobuf", "portnum": "TRACEROUTE_APP", "message_class": "RouteDiscovery" } } } }
Raw Packet Data (42 bytes)
0a0884285643ffffffff121edaffffffffffffffff0180ffffffffffffffff01baffffffffffffffff01
Hex Analysis:
Size:42 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
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Loading reception map...

Map shows gateway locations that received this packet. Hop counts are displayed if available.
Gateway Time Offset RSSI SNR Hops Relay Channel Timestamp Actions
Villarejo01 (VIL1) Primary 0.000s
Reference
-119.0 dBm -15.50 dB 0 61 TO1 MediumFast 2025-12-17 17:00:48 UTC Current
Villalbilla02 (VBV2) -0.680s
Before
-119.0 dBm -8.75 dB 1 b0 Vb2 MediumFast 2025-12-17 17:00:47 UTC View
GRN1-Base🗼🌐 🔋 (GRN1) -0.608s
Before
-98.0 dBm -2.25 dB 1 b0 Vbm , Vb2 MediumFast 2025-12-17 17:00:47 UTC View
Meshtastic 1760 (1760) -0.588s
Before
-132.0 dBm -11.75 dB 1 b0 Vbm , Vb2 MediumFast 2025-12-17 17:00:47 UTC View
Eagle’s Nest (EAGL) -0.530s
Before
-107.0 dBm 1.75 dB 1 a4 Raq1 MediumFast 2025-12-17 17:00:47 UTC View
Karabanchel_Baldur (KarB) -0.449s
Before
-105.0 dBm -11.50 dB 1 88 KarB , FENX MediumFast 2025-12-17 17:00:47 UTC View
Venturada2🗼🌐☀️ (Vb2) -0.305s
Before
-88.0 dBm 0.75 dB 0 61 TO1 MediumFast 2025-12-17 17:00:48 UTC View
Meshtastic 18a4 (18a4) -0.289s
Before
Unknown Unknown 2 60 1760 MediumFast 2025-12-17 17:00:48 UTC View
Mec Rocket Meco (MRM) -0.251s
Before
-110.0 dBm -10.75 dB 2 c0 sdAh MediumFast 2025-12-17 17:00:48 UTC View
JAGO1_Cañaveral (JAGO) -0.200s
Before
Unknown 11.25 dB 2 70 JAG2 MediumFast 2025-12-17 17:00:48 UTC View
ETH Goose (ET03) -0.087s
Before
-37.0 dBm 11.00 dB 1 41 ET01 MediumFast 2025-12-17 17:00:48 UTC View
ETH Maverick (ET01) -0.021s
Before
-107.0 dBm -7.50 dB 0 61 TO1 MediumFast 2025-12-17 17:00:48 UTC View
Fenix (FENX) -0.018s
Before
-117.0 dBm -12.00 dB 0 61 TO1 MediumFast 2025-12-17 17:00:48 UTC View
🎄 SkG@Home 📡🌐 (SkGH) +0.025s
After
-84.0 dBm -14.25 dB 1 56 8d56 , 3d56 MediumFast 2025-12-17 17:00:48 UTC View
Ocumare Norte🗼🌐 (RRN) +0.099s
After
-106.0 dBm -13.00 dB 1 b0 Vbm , Vb2 MediumFast 2025-12-17 17:00:48 UTC View
XiaoWatt c4c8 🌐🔌 (c4c8) +0.158s
After
-78.0 dBm 8.50 dB 1 b0 Vbm , Vb2 MediumFast 2025-12-17 17:00:48 UTC View
Meshtastic b2b4📡🌐 (b2b4) +0.252s
After
-114.0 dBm -11.50 dB 2 88 KarB MediumFast 2025-12-17 17:00:48 UTC View
Aldinra_1640_🗼_🌐 (AldB) +0.286s
After
-102.0 dBm 5.75 dB 2 60 1760 MediumFast 2025-12-17 17:00:48 UTC View
🤖 Nicolas Cage 🌐 (Cage) +0.415s
After
-99.0 dBm 7.75 dB 2 6c f56c MediumFast 2025-12-17 17:00:48 UTC View
[samsepi0l] 📡🌐 (tlg0) +0.480s
After
-87.0 dBm 4.00 dB 1 a4 Raq1 MediumFast 2025-12-17 17:00:48 UTC View
MOVIL 1 🟢 MANCHASTIC (MV1V) +0.568s
After
-71.0 dBm 10.75 dB 2 b4 MediumFast 2025-12-17 17:00:48 UTC View
Quixote_JS8_5🗼🌐 (QXT5) +0.606s
After
-115.0 dBm -13.00 dB 2 - MediumFast 2025-12-17 17:00:48 UTC View
Quixote_JS8_7 (QXT7) +0.609s
After
-18.0 dBm 11.75 dB 2 - MediumFast 2025-12-17 17:00:48 UTC View
tizon (Sylv) +0.734s
After
Unknown Unknown 3 0c Sylv MediumFast 2025-12-17 17:00:49 UTC View
PXT_Home (PXT1) +0.863s
After
-111.0 dBm Unknown 2 a4 HelB MediumFast 2025-12-17 17:00:49 UTC View
Jolu base (JL1) +1.177s
After
-124.0 dBm -13.75 dB 2 a4 HelB MediumFast 2025-12-17 17:00:49 UTC View
Zion 🗼 (Zion) +1.372s
After
-106.0 dBm -12.50 dB 2 11 BAS1 MediumFast 2025-12-17 17:00:49 UTC View
Rodashtastic🗼🌐 (RDSt) +1.376s
After
-112.0 dBm -2.75 dB 2 94 MediumFast 2025-12-17 17:00:49 UTC View
Quass001 ☄️ (Q001) +1.612s
After
-49.0 dBm 11.00 dB 3 3a Q005 MediumFast 2025-12-17 17:00:49 UTC View
29

Total Receptions

29

Unique Gateways