Security Scan Report: omiljenipredmet-287pgn2q05.edgeone.app

Submitted: Mar 8, 2026, 10:06:20 PMCompleted: Mar 8, 2026, 10:07:57 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is omiljenipredmet-287pgn2q05.edgeone.app and was registered NaN years ago.

Submitted URL: https://omiljenipredmet-287pgn2q05.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

Omiljeni predmet

Scan Type

public

Language

🇭🇷

HR

(50% confidence)

Category

technology software

(72%)

Domain Information

You're looking at domain 'omiljenipredmet-287pgn2q05.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'omiljenipredmet-287pgn2q05'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://omiljenipredmet-287pgn2q05.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hr
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:sr
Text Length:206 chars
Detector Agreement:100%
Language mismatch: Declared as sr but detected as hr

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%

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

T1EFF02B4AC18D6D8D4854B7040CCC1908A96FFF00A86C6E27BE7BC0A8E843B90AD1C6F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hyBoAQeiE/X/M7cgVASD6b8puPDWxN6m7YSEB8l:hyCDE/vM7ci6bNPD0l7YSEB8l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:de23a46c47e97fdca8958b77fe7600c0

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:3f3f7fffffffffff
Perceptual Hash:80000003fffffff8
Difference Hash:e0c0800000000000
Wavelet Hash:103070f0f0f0f0f0
Color Hash:#7979d2

Other Hashes

Crop Resistant:e0c0800000000000

Scan History

Scan history not available

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