Security Scan Report: worrying-green-wumwgtz3qb-yjobl0jhap.edgeone.app

Submitted: Apr 1, 2026, 7:36:18 AMCompleted: Apr 1, 2026, 7:37:27 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is worrying-green-wumwgtz3qb-yjobl0jhap.edgeone.app and was registered NaN years ago.

Submitted URL: https://worrying-green-wumwgtz3qb-yjobl0jhap.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: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Hosted on a reputable platform (edgeone.app) without evidence of abuse
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇩🇰

Danish

(50% confidence)

Category

documentation technical

(55%)

Domain Information

The domain name 'worrying-green-wumwgtz3qb-yjobl0jhap.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'worrying-green-wumwgtz3qb-yjobl0jhap'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://worrying-green-wumwgtz3qb-yjobl0jhap.edgeone.app/

Page Load Overview

0.63s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:982 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
technology software
45%
cryptocurrency blockchain
29%

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

T15F730290AFF42FECA41F8544C76D7B3B6A246103B44D519CB5ED0EB1AF84989E0BB079

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIqaUuSwqEa4UikUCgw8MeEeO0kCMWvRia8Ck+UysGcqU2a+AUOESsGMq4KsyIe:wSqaUuSwqEa4UikUCgw8MeEeO0kCMWva

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79896:UQiTgEUEKkXYOCqJZFGqwDECICUpRLEhFtoUAIY7JRMCyAKam6KgSFEQWQYPJVGoijQ1USoADKMAYgMKiFSIsDlUEmWixJBj

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3c343c44c6c3e3
Difference Hash:3030317171717171
Wavelet Hash:9c9c3c3c3c3c3c3c
Color Hash:#812d86

Other Hashes

Crop Resistant:3030317171717171

Scan History

Scan history not available

Unable to load historical scan data