Security Scan Report: latitude.to

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Submitted: Nov 24, 2025, 6:15:11 AMCompleted: Nov 24, 2025, 6:18:40 AMpubliccompleted
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Summary

This website contacted 48 IPs in 2 countries across 13 domains to perform 59 HTTP transactions. The main domain is latitude.to and was registered NaN years ago.

Submitted URL: https://latitude.to/satellite-map/et/ethiopia/311229/hayli-gubbi

The Cisco Umbrella rank of the primary domain is #680,294 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Established domain age (>10 years)
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Satellite map of Hayli Gubbi, Ethiopia. Latitude: 13.5000 Longitude: 40.7200

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'latitude.to' uses the .to country-code top-level domain without a subdomain. Count 8 characters in 'latitude' with 4 vowels and 4 consonants. Tokenizing the label suggests 1 word: latitude. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://latitude.to/satellite-map/et/ethiopia/311229/hayli-gubbi

Page Load Overview

0.66s
Total Load Time
59
HTTP Requests
13
Domains
962 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,827 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: place

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.18.42.227United States
AS13335CLOUDFLARENET
123.160.150.36United States
AS16509AMAZON-02
113.160.150.117United States
AS16509AMAZON-02
11104.21.69.97United States
AS13335CLOUDFLARENET
5142.250.186.131United States
AS15169GOOGLE
4142.250.184.226United States
AS15169GOOGLE
2172.217.18.14United States
AS15169GOOGLE
2104.18.1.22United States
AS13335CLOUDFLARENET
1216.239.32.36United States
AS15169GOOGLE
152.58.138.147Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5948--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126C20A67B6B2193391235161EAF56E1C3133810BC611DEA1BADC036F6FC9D95CDBA388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aHNP3it8mbAQnuXPS/OZcG9mtDBUi828rB9EeWEdDd7f2:Eu0IuXPS/OZcG9mtDBUi8PTEeWEdD5f2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27815:DIaTCFet4YAwgELlgkQswVkKAIICKE4jABSJQmooEAEB3QAAUwIgARPEEWCBwJAERpjhJAiDQJkKByGqmqABYTSFywmIUoDu

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:00003c3c3c3c0000
Perceptual Hash:9f33606c9b48ce1b
Difference Hash:1d4e69696961870d
Wavelet Hash:00033f3f3f3f0707
Color Hash:#c6d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data