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Security Scan Report: viptv-jqn5wqo6y4.edgeone.app

Submitted: Dec 18, 2025, 5:00:41 AMCompleted: Dec 18, 2025, 5:02:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is viptv-jqn5wqo6y4.edgeone.app and was registered NaN years ago.

Submitted URL: https://viptv-jqn5wqo6y4.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Site impersonates Telegram/Twitter on a low‑ranked domain; likely phishing.

Risk Factors
Impersonation of well‑known brands (Telegram, Twitter) on a low‑ranking, unrelated domain
Low Cisco Umbrella ranking for a site claiming major brand identities
Domain age information unavailable

Details

Page Title

首页 | VIPTV - 工作室

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'viptv-jqn5wqo6y4.edgeone.app' is registered, featuring subdomain 'viptv-jqn5wqo6y4'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Tokenizing the label suggests two 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-jqn5wqo6y4.edgeone.app/

Page Load Overview

30.18s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:780 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
51%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD332A29F091203F4A07C7D9A568232860BED5DAD981085CFA7F856037E3EECB767658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xM1MAMGMuMjMrMvQMISn0sQJpkpJiOEZ55hFTUfAf9XEvNfAfgEvG0R:bnmJpkpJC55hFTUfAfJufAfgq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50844:AkZADjtaQIgC5aCAgNLgnDFACAAViAIYA4wNBSESFiBpsAkaAiKDEynwZ5qdEIFpVRNMEBgKYAScgAx0lKAYDcJBA4cARQlH

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:#2d8668

Other Hashes

Scan History

Scan history not available

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