Security Scan Report: skolskevijesti-gkudjir2ja.edgeone.app

Submitted: Mar 9, 2026, 3:54:55 AMCompleted: Mar 9, 2026, 3:56:27 AMpubliccompleted
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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 skolskevijesti-gkudjir2ja.edgeone.app and was registered NaN years ago.

Submitted URL: https://skolskevijesti-gkudjir2ja.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Školske vijesti

Scan Type

public

Language

🇭🇷

HR

(43% confidence)

Category

technology software

(63%)

Domain Information

The domain 'skolskevijesti-gkudjir2ja.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'skolskevijesti-gkudjir2ja'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skolskevijesti-gkudjir2ja.edgeone.app/

Page Load Overview

0.50s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hr
Detection Confidence:43%
Script Type:Unknown
Text Length:429 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
news media journalism
54%
documentation technical
47%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C301048E4605EF690958938E0C8D12E9399F99C858B9C77730D7847E34066AD0E7DAFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:ht/z2ChUzyjAzGFw8XoneX0VoJCZANcHOGFw8XoneX0sZLVNCmGoneX0uXFwLoJq:ht/zdUSWtecqkWteXJVoseWymCqD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:820:AAAAAAAAAIAAACCAAAAAEAAAAAAAAAAAABAAAUAAQIBAAAgAAAAAAAAgAAAAIAAAIAEAAEACAAAAEAAAAAAAAQBAAEAAACAQ

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:3f3f3f3f7fffffff
Perceptual Hash:8000ffff0003fff8
Difference Hash:c0c0c0c080000000
Wavelet Hash:3030303040c00000
Color Hash:#87c5a9

Other Hashes

Crop Resistant:c0c0c0c080000000

Scan History

Scan history not available

Unable to load historical scan data