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Security Scan Report: grieving-aquamarine-dmcak0sevu-ndqlqnffau.edgeone.app

Submitted: Mar 25, 2026, 3:10:43 AMCompleted: Mar 25, 2026, 3:11:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is grieving-aquamarine-dmcak0sevu-ndqlqnffau.edgeone.app and was registered NaN years ago.

Submitted URL: https://grieving-aquamarine-dmcak0sevu-ndqlqnffau.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

No malicious activity detected; low to moderate risk due to new subdomain and low ranking.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking indicating low reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts detected
Served over HTTPS
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(43%)

Domain Information

The domain name 'grieving-aquamarine-dmcak0sevu-ndqlqnffau.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'grieving-aquamarine-dmcak0sevu-ndqlqnffau'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://grieving-aquamarine-dmcak0sevu-ndqlqnffau.edgeone.app/

Page Load Overview

0.66s
Total Load Time
2
HTTP Requests
1
Domains
3 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:zh
Text Length:90 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
43%
adult content
33%
healthcare medical
32%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10712C7CAEBE705C8681BC4682FFF5325222DE053D449C94DB9AE0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBGOh15h1RaXQl:KrzhNK/lMHmGgdkqixd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9660:IgVC13IEBVMQNBUWg0eIxAAiKACEDwQAs9ANAEAKiDLQSJtIAMQ0w1GgCYcHYMaAgTieVYAmSETaBChhCQImCCoiPCaHAoUB

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#1f7a93

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data