Security Scan Report: sorrmelijaan-r33wah1ooi.edgeone.app

Submitted: Apr 28, 2026, 6:03:48 PMCompleted: Apr 28, 2026, 6:05:05 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 sorrmelijaan-r33wah1ooi.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorrmelijaan-r33wah1ooi.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

Low risk site with no malicious indicators; unknown subdomain age but no forms or scripts suggest it is safe.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low Cisco Umbrella ranking (455k)
Content classified partially as adult/health (potentially suspicious)
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious JavaScript or YARA matches
No external malicious links or network IDS alerts
Domain age information unavailable

Details

Page Title

For You ❤️

Scan Type

public

Language

🏳️

SO

(29% confidence)

Category

adult content

(51%)

Domain Information

The domain 'sorrmelijaan-r33wah1ooi.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'sorrmelijaan-r33wah1ooi'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests 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://sorrmelijaan-r33wah1ooi.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:so
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:825 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as so

Website Classification

Primary Category

adult content51% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
51%
healthcare medical
31%

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

T1126194C00309B5E26263448578A75B9B74FCD003D20DCF5EDFF0B6D99EC089A49AB689

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TMzCM9+FfVSFfVzkdRJjvfF2Y5h0bqBTDUG2Mz078TUeJxTGtTJlk+:TMzCI+KXzkdRP1hrBTDUGe74UeJZGlzP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3401:AAAmGIQAASQRESAgKJAQASIQEARkhAAIIAAFAIAKgAUQAAAQAIABQARAAGQBAgAwAAKigAIIEQAA2BAoABIAggJAQEBgABJE

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:3c3c3c3c3c3c0000
Perceptual Hash:8c8c33f1cc999937
Difference Hash:f0e0f0f0f0f0e0e0
Wavelet Hash:7e7e7e7e3c3c0000
Color Hash:#a3c587

Other Hashes

Crop Resistant:f0e0f0f0f0f0e0e0

Scan History

Scan history not available

Unable to load historical scan data