Security Scan Report: viptv-9gtnhxe1da.edgeone.app

Submitted: Dec 18, 2025, 1:32:43 PMCompleted: Dec 18, 2025, 1:32:45 PMpubliccompleted
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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 viptv-9gtnhxe1da.edgeone.app and was registered NaN years ago.

Submitted URL: https://viptv-9gtnhxe1da.edgeone.app/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site impersonates Twitter/Telegram on an unranked domain – high risk of phishing.

Risk Factors
Brand impersonation: Twitter and Telegram logos/text shown on unrelated domain
Unranked domain presenting well‑known brand names
Domain age information unavailable

Details

Page Title

首页 | VIPTV - 工作室

Scan Type

public

Language

🇩🇰

Danish

(24% confidence)

Category

entertainment media

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'viptv-9gtnhxe1da.edgeone.app' is registered with subdomain 'viptv-9gtnhxe1da'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://viptv-9gtnhxe1da.edgeone.app/

Page Load Overview

0.50s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:24%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:24%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:1,356 chars
Detector Agreement:60%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

entertainment media71% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
71%
technology software
70%
news media journalism
67%
healthcare medical
66%
documentation technical
62%

Detected Features

OG: website
Schema.org

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F332A29F091203F4A07C7D9A568232860BED5DAD981085CFA7F857037E3EECB767658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xM1MAMGMuMjMrMvQMIan0sQJpkpJiOEZ55hFTUfAf9XEvNfAfgEvG02:TnmJpkpJC55hFTUfAfJufAfgt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50844:RG/tLiJYQigwQKCAguAQFDVSDwkVbAIQhFATAAAIEUGqzYmIBSiLjAjyVhIAEMAIRQDuIBUYQAif21BGMCRAYIBAAAVBIUhm

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:ff01c0d8980000ff
Perceptual Hash:d8eaa7529c54d0a7
Difference Hash:810313b2b2b00efe
Wavelet Hash:ffc1c0d8d8c080ff
Color Hash:#6f3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data