Security Scan Report: sweetstacksbraclets-aa958s60v7.edgeone.app

Submitted: Feb 24, 2026, 9:39:34 AMCompleted: Feb 24, 2026, 9:40:44 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-aa958s60v7.edgeone.app and was registered NaN years ago.

Submitted URL: https://sweetstacksbraclets-aa958s60v7.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

(30%)

Domain Information

The domain 'sweetstacksbraclets-aa958s60v7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sweetstacksbraclets-aa958s60v7'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. It segments into 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://sweetstacksbraclets-aa958s60v7.edgeone.app/

Page Load Overview

1.32s
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 network30% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.36.99Singapore
243.152.26.58Singapore
22.16.10.177United States
2104.26.2.36United States
AS13335Cloudflare, Inc.
2172.217.168.74UnknownUnknown
125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2320901D7F03105909BD0F2B6C127DA651DC107FAA348AD72EE7468DBC28EA61B736D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:f1dPkEq7Gu+hcPGxYdCiS+VYT4yuJe9O74IyR5mv5dAEbXkHrr:nQC3hZxYdCiS+VYTo74IyRovMEbXC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11598:nCAHOQAhIhpxxpwFgxiINRgDMTKQySEUhLbRFAkEKSgAgYYAMgJBAhYAJoACggBPn6asgKRMADhhDnQEQlCSwow5AgsREAsw

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:e3000004ffffff7e
Perceptual Hash:f23dc0ed80d700fe
Difference Hash:4e564ccc968e48cc
Wavelet Hash:e3000000c7ffff7e
Color Hash:#d2532d

Other Hashes

Crop Resistant:4e564ccc968e48cc

Scan History

Scan history not available

Unable to load historical scan data