Security Scan Report: maps.sp0n.io

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Submitted: Jan 1, 2026, 11:45:49 AMCompleted: Jan 1, 2026, 11:47:22 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 16 HTTP transactions. The main domain is maps.sp0n.io and was registered NaN years ago.

Submitted URL: https://maps.sp0n.io

The Cisco Umbrella rank of the primary domain is #29,869 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate map service with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment forms
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

TileServer GL - Server for vector and raster maps with GL styles

Scan Type

public

Language

🇺🇸

English

(49% confidence)

Category

technology software

(60%)

Domain Information

Domain 'maps.sp0n.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'maps'. The second-level label 'sp0n' is 4 characters long containing zero vowels alongside 3 consonants, along with 1 digit. Breaking it apart gives three words: sp, 0, n. Median word length comes out to 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://maps.sp0n.io

Page Load Overview

25.69s
Total Load Time
16
HTTP Requests
1
Domains
463 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:49%
Script Type:Latin
Text Length:1,121 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18422AD212AF1187A9743F048546E6F6E2ACAB81F57B0375839BD54E18F72F1ABF43448

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:DReykxcHz3Xwrtjm36sZc/zvXojV7ufVPwc6zSX/W4czK+4FcrzrXcnxHazprscE:DReyk2Tnwrtjm36su7vojV7ufVPhq0/r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10473:QZCGSNlIJkikApVHOWKoERNITWkJFgCJgAWZRgLGJggDMDwAAIqYYigAQAEEw4AGWAGUICCigIIBDIMyEECWQAcuzjLEUSOk

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:f7e7ffdbdbdfdbcf
Perceptual Hash:b8c7e73818c9cb89
Difference Hash:060c0cb2b2b2b2b2
Wavelet Hash:c2c6e6c2c3cbc3c3
Color Hash:#1f5093

Scan History

Scan history not available

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