Security Scan Report: accused-tan-zd49d0sqrf-rzykvjsfut.edgeone.app

Submitted: Feb 24, 2026, 5:57:15 AMCompleted: Feb 24, 2026, 5:58:38 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is accused-tan-zd49d0sqrf-rzykvjsfut.edgeone.app and was registered NaN years ago.

Submitted URL: https://accused-tan-zd49d0sqrf-rzykvjsfut.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

FORGIVE ME, MY LOVE πŸ™

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

healthcare medical

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'accused-tan-zd49d0sqrf-rzykvjsfut.edgeone.app' is registered and includes subdomain 'accused-tan-zd49d0sqrf-rzykvjsfut'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. It segments into 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://accused-tan-zd49d0sqrf-rzykvjsfut.edgeone.app/

Page Load Overview

1.64s
Total Load Time
8
HTTP Requests
5
Domains
55 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:174 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical35% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
118.66.147.125Singapore
1151.101.129.229Singapore
1142.251.36.99Singapore
1172.217.20.138SingaporeUnknown
85--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14812C4AE96E30000711BD1A57BEB07943534AA03A55BCD7C3BDD6204DF819B5AB937B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Ckf8HhJCXeWEMV4rAAN73iuzjDcoSMfyJAfVJv7q7VVskcTy30qyLPgdWRkAIEH:X0/aM3DFFkLskcTy30qyDgdWRkAIEH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9860:gdihzEmSxAQSTYAMAxAwVCIoCDQzghMIRXgAlYISRJgjoqFAjfSQIcLIIBTyjAJBMYwBgtAy2ICQY4sXJMsJZIgACCYoACgU

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:fefee4e4e0e0e0f0
Perceptual Hash:f386cc9933663199
Difference Hash:00004c4c58080c00
Wavelet Hash:fefce4e0e0e0e0e0
Color Hash:#592d86

Other Hashes

Crop Resistant:00004c4c58080c00

Scan History

Scan history not available

Unable to load historical scan data