Security Scan Report: get.geojs.io

Submitted: Jan 20, 2026, 12:23:53 PMCompleted: Jan 20, 2026, 12:25:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is get.geojs.io and was registered NaN years ago.

Submitted URL: https://get.geojs.io

The Cisco Umbrella rank of the primary domain is #15,061 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Well‑established domain (>8 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
Ranked within Cisco Umbrella top 100k
Static informational page with no redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(63% confidence)

Category

healthcare medical

(84%)

Domain Information

The domain name 'get.geojs.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'get'. The core label 'geojs' covers 5 characters holding 2 vowels versus three consonants. Splitting it apart reveals 2 words: geo, js. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://get.geojs.io

Page Load Overview

0.23s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:63%
Script Type:Latin
Text Length:163 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical84% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
84%
news media journalism
44%
corporate business
38%
government public service
37%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.0.100United States
AS13335CLOUDFLARENET
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FE078F7C1305C1D5F7125D4CD41BC60D73C019DED615C1465D95575954856B514350C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9Yiuxc01kkS7MNSSscskvyNfW0Byc6Ze:kxV7HdBWiumokkXIk6BW4r6Ze

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:11d33bfe75bfdf43f0a885b84252b354

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:3f3fffffffffffff
Perceptual Hash:83030303031fffff
Difference Hash:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#74783a

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data