Security Scan Report: proud-apricot-am5sstdyfk-k16cxhn23e.edgeone.app

Submitted: Dec 18, 2025, 9:45:22 AMCompleted: Dec 18, 2025, 9:45:24 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is proud-apricot-am5sstdyfk-k16cxhn23e.edgeone.app and was registered NaN years ago.

Submitted URL: https://proud-apricot-am5sstdyfk-k16cxhn23e.edgeone.app/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Phishing page impersonating Google on an unranked domain; avoid.

Risk Factors
Brand impersonation / typosquatting on an unranked domain
Unranked domain presenting a well‑known brand
Domain age information unavailable

Details

Page Title

東京12日・成人娛樂狂歡版

Scan Type

public

Language

🇩🇰

Danish

(46% confidence)

Category

entertainment media

(76%)

Domain Information

The domain 'proud-apricot-am5sstdyfk-k16cxhn23e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'proud-apricot-am5sstdyfk-k16cxhn23e'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Word splitting yields 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://proud-apricot-am5sstdyfk-k16cxhn23e.edgeone.app/

Page Load Overview

0.56s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:46%
Script Type:Latin
HTML Lang Attribute:zh-TW
Text Length:832 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

entertainment media76% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
76%
technology software
71%
healthcare medical
59%
cryptocurrency blockchain
55%
news media journalism
51%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156A3937052F110BF59D7C1F1E7245B2A6A9492CBCD0789E977ACC7701F8AC57ACAB208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ulhnjJ+WbQWxmi0G168zKLNYUnIJISmiMHm70lUzvfucwOPZb43pOjfFqsIRAzVx:YhFiMLDOTIthyROuSph

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98836:CEMoCsq4gRi8AkgGAwGROIISjIX1DIBIgoSAkqCAgJMOUQEGw1AiBO0HAKCIuMREIAExPODdDJCASBSccaoTeAXABAYCIjGA

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:18193d3d3139313d
Perceptual Hash:8a9938357598cbc7
Difference Hash:3371616149616169
Wavelet Hash:19193d3d3139393d
Color Hash:#1f9363

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data