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Security Scan Report: grateful-violet-wee6l2fjjl-vesteasta2.edgeone.app

Submitted: Mar 17, 2026, 8:52:37 PMCompleted: Mar 17, 2026, 8:53:58 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 grateful-violet-wee6l2fjjl-vesteasta2.edgeone.app and was registered NaN years ago.

Submitted URL: https://grateful-violet-wee6l2fjjl-vesteasta2.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: 80%

7
Risk Score

Fake virus warning page – likely a tech support scam; do not engage.

Risk Factors
Tech support scam message urging the user to fix a non‑existent virus
New subdomain on a free hosting platform with no established reputation
Low Cisco Umbrella ranking (poor reputation) for the domain
Domain age information unavailable

Details

Page Title

CRITICAL FAILURE

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(67%)

Domain Information

Within the application-focused generic top-level domain (.app), 'grateful-violet-wee6l2fjjl-vesteasta2.edgeone.app' is registered with subdomain 'grateful-violet-wee6l2fjjl-vesteasta2'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grateful-violet-wee6l2fjjl-vesteasta2.edgeone.app/

Page Load Overview

1.32s
Total Load Time
3
HTTP Requests
2
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:id
Text Length:88 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

healthcare medical67% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
67%
documentation technical
66%
cryptocurrency blockchain
54%
government public service
46%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.163.208.117United States
AS46606Unified Layer
143.152.26.58Singapore
AS139341ACE
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E51554BA9E30447B10794AC2BF3A7452264A407D50BCF683DDDB350CFC55926CA775C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:xXDU9poqvZJfCJAGDxdoFFJr/4Bb5sfzgRIlG:BI9pBvZJfC9QFFJr/Sl/GG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2926:jIAAAQBCkAggRAQAEAAAkACiCQEgAAjAMAAAAEgAAADAEAEYAEECIAAAQEHAABIIAwIAAAsCBhgBCQIAgCARQAgIAAgAAKAB

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:0000180038180000
Perceptual Hash:cc6633996726cccc
Difference Hash:0010706870b00030
Wavelet Hash:00003c3c3c3c0000
Color Hash:#e08b6c

Other Hashes

Crop Resistant:8080ac3333a88080,0010706870b00030

Scan History

Scan history not available

Unable to load historical scan data