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Security Scan Report: fat-aqua-vsrpposzea-ciein3azfk.edgeone.app

Submitted: Feb 24, 2026, 11:55:28 PMCompleted: Feb 24, 2026, 11:56:43 PMpubliccompleted
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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 fat-aqua-vsrpposzea-ciein3azfk.edgeone.app and was registered NaN years ago.

Submitted URL: https://fat-aqua-vsrpposzea-ciein3azfk.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: 92%

2
Risk Score

No malicious activity detected; appears to be a simple file collection page, but the subdomain is newly created.

Risk Factors
Subdomain on a free hosting platform (edgeone.app) with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No network IDS alerts
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government public service

(55%)

Domain Information

You're looking at domain 'fat-aqua-vsrpposzea-ciein3azfk.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'fat-aqua-vsrpposzea-ciein3azfk'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fat-aqua-vsrpposzea-ciein3azfk.edgeone.app/

Page Load Overview

5.37s
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:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service55% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
55%
entertainment media
49%
adult content
35%
corporate business
27%

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

T1C302C5CAEBA305C8A82BC47C2FFB5324222DE017D449C95DB9AE1F148F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB6h1RaXQl:KrzhNK/lMHmGgdkqTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8804:4AUC13ECpYsQNBWcAU2ihAQiSQCODQQANFAJAKACjDKUAIEIAeR0wwKQCaeCgtaCgTycVQEmSchbBApBAAIXCSoCOCaWRAUB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:da9a98bc6c6561c3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#931f78

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data