Security Scan Report: squealing-scarlet-gojotmeksi-a8cf7apjkg.edgeone.app

Submitted: Mar 5, 2026, 3:39:58 PMCompleted: Mar 5, 2026, 3:41:29 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is squealing-scarlet-gojotmeksi-a8cf7apjkg.edgeone.app and was registered NaN years ago.

Submitted URL: https://squealing-scarlet-gojotmeksi-a8cf7apjkg.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a reputable platform (edgeone.app)
Content appears to be benign Vietnamese text without phishing cues
Domain age information unavailable

Details

Page Title

Gửi Lời Chúc Yêu Thương

Scan Type

public

Language

🇻🇳

VI

(80% confidence)

Category

adult content

(93%)

Domain Information

Within the application-focused generic top-level domain (.app), 'squealing-scarlet-gojotmeksi-a8cf7apjkg.edgeone.app' is registered, featuring subdomain 'squealing-scarlet-gojotmeksi-a8cf7apjkg'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals 2 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://squealing-scarlet-gojotmeksi-a8cf7apjkg.edgeone.app/

Page Load Overview

0.91s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇻🇳Vietnamese
Code: vi
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:vi
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:vi
Text Length:284 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content93% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
93%
education learning
88%
healthcare medical
74%
entertainment media
39%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBC1427786D30031606749A127970B842DB80B47A3078EB83AEEA225DFCEE249793375

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:EZidMhoog2Mw/6qLTsjyJUemGGHokY3Fu0ORyHkYKyr:OidMhTFzLTsjyJLmGGIk8uhgkYK2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6012:RgBtkAJCgZIBEAQ4DgGABClqASASESAQUA5AACIQgQAgBkARCACsGNRAIwBAcEQCAIrARBgiiJ0AyCAFgAIBCyIYIJwAAIhS

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:0000183c3c180000
Perceptual Hash:ccc83327ce9c9963
Difference Hash:000c32322a320400
Wavelet Hash:333318185a9a3737
Color Hash:#862d80

Other Hashes

Crop Resistant:000c32322a320400

Scan History

Scan history not available

Unable to load historical scan data