Security Scan Report: sweetstacksbraclets-jwiluaqch3.edgeone.app

Submitted: Feb 24, 2026, 6:45:47 AMCompleted: Feb 24, 2026, 6:46:59 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is sweetstacksbraclets-jwiluaqch3.edgeone.app and was registered NaN years ago.

Submitted URL: https://sweetstacksbraclets-jwiluaqch3.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

SweetStacks Bracelet

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

social media network

(28%)

Domain Information

You're looking at domain 'sweetstacksbraclets-jwiluaqch3.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'sweetstacksbraclets-jwiluaqch3'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sweetstacksbraclets-jwiluaqch3.edgeone.app/

Page Load Overview

2.47s
Total Load Time
12
HTTP Requests
5
Domains
291 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:1,096 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network28% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4146.75.123.42Singapore
243.152.26.58Singapore
2154.197.208.228United States
AS135097LUOGELANG FRANCE LIMITED
2142.251.140.170Unknown
2216.58.206.67UnknownUnknown
125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C032F941D7F02015909BD0F3B6C127DA651D8007FAA748AD72EE7468DB828FA61B736D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:f1dikgCRu+3OPGxYdCiS+VYT4yuJe9O74IyR5mv5dAEbXjr3w:nY433XxYdCiS+VYTo74IyRovMEbX4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11429:UYBVMwnASiFBZQKRTxIk1Q4AQHMAQEUUokQnLIHGEgB0QAWQEKBNAwRiFJLQBIRGeCQYcoBBIAKBimYCgDFAwpMAAgsgECgc

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:c30000ffc7ffff7c
Perceptual Hash:f03d40bf80ff8076
Difference Hash:5e5604828ecc4ccc
Wavelet Hash:820000ffc3ffe67c
Color Hash:#6e3a78

Other Hashes

Crop Resistant:5e5604828ecc4ccc

Scan History

Scan history not available

Unable to load historical scan data