Security Scan Report: sorrymahgirl-sjwdm9ywk3.edgeone.app

Submitted: Apr 25, 2026, 5:45:54 PMCompleted: Apr 25, 2026, 5:47:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is sorrymahgirl-sjwdm9ywk3.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorrymahgirl-sjwdm9ywk3.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: 72%

2
Risk Score

The site shows low risk: no malicious content, no forms, but subdomain age is unknown and ranking is low.

Risk Factors
Low domain ranking (outside top 100K)
Subdomain age unknown, potentially newly created
Safety Factors
No login, payment, or credential forms
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

For You ❤️

Scan Type

public

Language

🇮🇩

ID

(21% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sorrymahgirl-sjwdm9ywk3.edgeone.app' is registered; it also runs on subdomain 'sorrymahgirl-sjwdm9ywk3'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives 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://sorrymahgirl-sjwdm9ywk3.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:21%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:21%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:821 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T147717FD0020D72F3525340BA74F35B8774F9D8439249DB5A8EE0B6D28ED0D8F48AB289

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TMtCVXzkdR5CM2hrtX+Ga78QyHAvuI1EL91OF:tVXQ9CrrtOGy8CGmpF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3613:SAGBESFCgACEgAgAAYQdLCAgEBCgQsREKQAAYQBAARIUAICAgQAByAkECAAQEgICgYQEAAgAAxEAAgMigAgACBESAAIIO1hA

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:e0c0bcbcbc3c0000
Perceptual Hash:dbc164c69a719ad8
Difference Hash:0103696969691f1f
Wavelet Hash:f0f0fcfcfcbc8000
Color Hash:#931f1f

Other Hashes

Crop Resistant:0103696969691f1f

Scan History

Scan history not available

Unable to load historical scan data