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Security Scan Report: moaning-aqua-aro5flzah7-tkwwwa08kt.edgeone.app

Submitted: Mar 19, 2026, 7:32:16 PMCompleted: Mar 19, 2026, 7:33:36 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 moaning-aqua-aro5flzah7-tkwwwa08kt.edgeone.app and was registered NaN years ago.

Submitted URL: https://moaning-aqua-aro5flzah7-tkwwwa08kt.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%

2
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting platform subdomain with no suspicious behavior
Only legitimate external resource (Google Fonts)
Content appears to be a private travel itinerary, not phishing
Domain age information unavailable

Details

Page Title

Curaçao — December 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(57%)

Domain Information

Domain 'moaning-aqua-aro5flzah7-tkwwwa08kt.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'moaning-aqua-aro5flzah7-tkwwwa08kt'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 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://moaning-aqua-aro5flzah7-tkwwwa08kt.edgeone.app/

Page Load Overview

0.44s
Total Load Time
3
HTTP Requests
2
Domains
17 KB
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:17,387 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content57% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1216.58.206.42United States
AS15169Google LLC
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8339331E1F211334077C1D3B58B9BAB7AE4C52BC866021972FEC7884FDAC51BA63959

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nszc3YH3buSyDKQlAZTxYDzVWQcPhjpI/if7JodwVudcCA+G/koI1gaG2yYjfquT:nBqmlyYDhdO1YifG+4cCA+wjYGsfJ9mm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54279:AAIAjcORGBoQQIZUCUIAbDQ2loZSgSECHgCMVCR8ySBEAdMAhIVQgUBMY6AR4od3KpeGxIgWOCGAIViFIbMsKIwIBRYIACRs

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:ffbfffe7c3818181
Perceptual Hash:b399496ee6c1c866
Difference Hash:7171710f0f0f0f0f
Wavelet Hash:fc1dffe7c3810081
Color Hash:#66ac53

Other Hashes

Crop Resistant:7171710f0f0f0f0f

Scan History

Scan history not available

Unable to load historical scan data