Security Scan Report: rubber-scarlet-lktcibzcy7-5nu6tdczny.edgeone.app

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Submitted: May 14, 2026, 11:39:19 PMCompleted: May 14, 2026, 11:40:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rubber-scarlet-lktcibzcy7-5nu6tdczny.edgeone.app and was registered NaN years ago.

Submitted URL: https://rubber-scarlet-lktcibzcy7-5nu6tdczny.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: 78%

2
Risk Score

The site shows no malicious indicators, lacks credential forms, and appears low risk despite low domain ranking and adult content classification.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Content classified partially as adult material (39% confidence)
Safety Factors
Absence of login, payment, or credential collection forms
No external malicious links or redirects
No JavaScript obfuscation or suspicious API usage
No detected credential exfiltration or malicious network activity
Hosted on a standard developer platform (edgeone.app) with typical usage
Domain age information unavailable

Details

Page Title

Sorry My Love πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

adult content

(39%)

Domain Information

Domain 'rubber-scarlet-lktcibzcy7-5nu6tdczny.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'rubber-scarlet-lktcibzcy7-5nu6tdczny'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rubber-scarlet-lktcibzcy7-5nu6tdczny.edgeone.app/

Page Load Overview

5.60s
Total Load Time
3
HTTP Requests
1
Domains
7 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:240 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.57Frankfurt am Main, Hesse, Germany
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170E1535AA9B30115A517A0A02FFB475937A5C007EE4FDE287FCC71848F85AA98DD338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Vrk0opH+t2WY27kDGf1niH7BMd3BQC//UJZPuztOYSkDtBgJPe5j:VrcDunt1bZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7059:iBlRgUmHSWgOAEAZNcQEwgQBAAAAIBKsRBBR2CA4IBlEkALETEBACwwAAATzEUEFIYGZDAjxKhEyo4KTCpLQHUGAEGIYCDAT

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:b8bc383c3c3c3c00
Perceptual Hash:dbe065cb30b26ccc
Difference Hash:6869606969696960
Wavelet Hash:f8fcbc3c3c3c3c00
Color Hash:#86462d

Other Hashes

Crop Resistant:6869606969696960

Scan History

Scan history not available

Unable to load historical scan data