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Security Scan Report: annoyed-magenta-sfvvqov6el-7piplwcbni.edgeone.app

Submitted: Feb 4, 2026, 2:00:10 PMCompleted: Feb 4, 2026, 2:01:48 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 1 HTTP transaction. The main domain is annoyed-magenta-sfvvqov6el-7piplwcbni.edgeone.app and was registered NaN years ago.

Submitted URL: https://annoyed-magenta-sfvvqov6el-7piplwcbni.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (>1000 days)
No login or payment forms
No external links or redirects
Standard hosting without IPFS or cloud storage
No suspicious OCR text or brand impersonation
Domain age information unavailable

Details

Page Title

Be My Valentine 💘

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(36%)

Domain Information

The domain 'annoyed-magenta-sfvvqov6el-7piplwcbni.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'annoyed-magenta-sfvvqov6el-7piplwcbni'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://annoyed-magenta-sfvvqov6el-7piplwcbni.edgeone.app/

Page Load Overview

95.66s
Total Load Time
1
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
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:261 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content36% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
36%
entertainment media
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
0142.250.185.170United States
AS15169Google LLC
0142.250.201.163United States
AS15169Google LLC
0185.85.13.155RussiaUnknown
04--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A01B54B44C48C0A80A0B7A1ADD1F224F8CEE8397A89EE907CD0546DBCA9B984093E1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRh2y7S0Jn5CZ2NxdOZ8qJmWx8gYmcl56e4LAiQ7TlOlnlkC3G:hRh2CSwn5CcYZjVjyjBiUTlONiC3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:772:AAAAAAAAgABAAAIBAAAAAAgAABAAAAAAAAAAACABAAAAAAQAIACACAAAAAAAAAQAAIAAgAAAAAAAAAAAAAAAgAAAAgAAAAAQ

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:00000000ffffffff
Perceptual Hash:cc4c1933e666b333
Difference Hash:2010303010303010
Wavelet Hash:00000000ffffffff
Color Hash:#d2799b

Other Hashes

Crop Resistant:2010303010303010

Scan History

Scan history not available

Unable to load historical scan data