Security Scan Report: asviphackdkwin-0wy052j0i9.edgeone.app

Submitted: Mar 16, 2026, 12:50:43 PMCompleted: Mar 16, 2026, 12:52:12 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is asviphackdkwin-0wy052j0i9.edgeone.app and was registered NaN years ago.

Submitted URL: https://asviphackdkwin-0wy052j0i9.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

New edgeone.app subdomain collecting credentials; classified as a confirmed phishing scam.

Risk Factors
New subdomain (age <7 days) on free hosting platform
Credential collection (phone number, password) on untrusted domain
Impersonation of a service (AS VIP Signal) on a non‑official domain
Domain age information unavailable

Details

Page Title

AS VIP Signal - Premium Edition

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

news media journalism

(42%)

Domain Information

The domain 'asviphackdkwin-0wy052j0i9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'asviphackdkwin-0wy052j0i9'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests two 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://asviphackdkwin-0wy052j0i9.edgeone.app/

Page Load Overview

3.40s
Total Load Time
43
HTTP Requests
7
Domains
273 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:bn
Text Length:108 chars
Detector Agreement:100%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
government public service
41%
healthcare medical
37%
adult content
36%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2243.152.26.58Singapore
21188.114.96.3United States
AS13335Cloudflare, Inc.
432--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E02A66739A70030AA57F5BA6BEB931E30359C07A500C6047D2ED2508F8CDFA45EBB8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5R4y8UyXf+h4BGpAqFe6Jz7wzsVICGbXA6RBU+hhmj:PPRFDIpA6y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8409:A8NHQuBECg4CkqEkYmslQrQiKQiJcqAgDIsAQQhS0FJCJCQFYIoEVi0DA3c5LCEAqnAAoKcSECOOh4TQiZQsADRDyNjWSoBI

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:9818181818181818
Perceptual Hash:d977767676660088
Difference Hash:3232b2b2b2b2b2b2
Wavelet Hash:9c1c3c3c18181818
Color Hash:#3a7863

Other Hashes

Crop Resistant:3232b2b2b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data