Security Scan Report: iloveyousomuchpoleoko-f4696rgxp7.edgeone.app

Submitted: Feb 18, 2026, 5:38:32 AMCompleted: Feb 18, 2026, 5:40:04 AMpubliccompleted
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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 iloveyousomuchpoleoko-f4696rgxp7.edgeone.app and was registered NaN years ago.

Submitted URL: https://iloveyousomuchpoleoko-f4696rgxp7.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: 95%

0
Risk Score

No security concerns detected.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No login, payment, or hidden suspicious fields
Domain age information unavailable

Details

Page Title

iloveyousomuchpoleoko-f4696rgxp7.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'iloveyousomuchpoleoko-f4696rgxp7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'iloveyousomuchpoleoko-f4696rgxp7'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Splitting it apart reveals 2 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://iloveyousomuchpoleoko-f4696rgxp7.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
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:828 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
52%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8Oldy:WhoC9JSqzzbs6o3Sj3gcrsQ2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:gOKwAQAgAFHQNARgATKCHpQCsaLQiBIcGdBDAMcgAEwo5rKWkjxgIEKAClREBCACBylCgdBeQgCFQa8AAICItOsOwQLWBB4o

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#8bd22d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data