Security Scan Report: i1miss1you1so1much1my1love1-was3775lo6.edgeone.app

Submitted: Mar 25, 2026, 9:53:45 PMCompleted: Mar 25, 2026, 9:55:08 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 i1miss1you1so1much1my1love1-was3775lo6.edgeone.app and was registered NaN years ago.

Submitted URL: https://i1miss1you1so1much1my1love1-was3775lo6.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the page appears benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation score
No cross‑origin credential exfiltration
No redirects or external domains
Domain age information unavailable

Details

Page Title

I Miss You ❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(33%)

Domain Information

You're looking at domain 'i1miss1you1so1much1my1love1-was3775lo6.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'i1miss1you1so1much1my1love1-was3775lo6'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Tokenizing the label 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://i1miss1you1so1much1my1love1-was3775lo6.edgeone.app/

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
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:501 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content33% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
33%

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

T11C9100BF96430521611F8A60376B1BE465789B0387039EB93BECA21AEFC5D3597433B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TCQLwJof0ngto/1Vn7iukTMKB5cDlgF3BVs6QOAk4z:+QcJof0KeDn7iukTMKB5cDlgF3B66QOK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4598:iiYiAQwAIACAFAFUgBaYGQMBAAAIEAQQAJAAACCAAehQDAIkAEAABKEAAAQACgUAAEYCCEFigARNRAAYGEAwAg0CiAAnOLOG

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:fcfcf8e0e0f0e0c0
Perceptual Hash:f7a8d883372cc8c3
Difference Hash:0000000c08000000
Wavelet Hash:fcfcf8c0e0f0e0e0
Color Hash:#57931f

Other Hashes

Crop Resistant:0000000c08000000

Scan History

Scan history not available

Unable to load historical scan data