Security Scan Report: loveaisleapp.com

Submitted: Apr 30, 2026, 9:56:12 PMCompleted: Apr 30, 2026, 9:57:24 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site is a newly registered, unranked domain with no malicious indicators but moderate risk due to its age and lack of reputation.

Risk Factors
Newly registered domain (<7 days)
Unranked domain reputation
Lack of established brand presence
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No network IDS alerts
No credential exfiltration or suspicious forms
Domain age information unavailable

Details

Page Title

AISLE - Find your dress without losing your mind

Scan Type

public

Domain Name Analysis

The domain name 'loveaisleapp.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'loveaisleapp' split between 6 vowels and six consonants. Word splitting yields 3 words: love, aisle, app. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loveaisleapp.com/

Page Load Overview

1.78s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,218 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.251.20.94United States
AS15169Google LLC
10104.16.175.226United States
AS13335Cloudflare, Inc.
109.163.40.246Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1013.107.42.21United States
AS8068Microsoft Corporation
10192.178.183.95United States
AS15169Google LLC
505--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4843B52B6F1113E2423A1E57B87931A7229D103E14589A47AEC4184CFCFEF496FFAC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:oaisCTbhwuk2c5ooaDlPj9NDTzzXbTR5W62PzcOXgCPMH2Q:nrVzFrQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:375763:D9IThk1FxOlOKVARDDBCgAzzCY0gEAhBIBHUSIEBIoVCIBMDlkgFCIUXdSXAIkKYAKEQBAPJAUnldwyZCp3TmhKgABBAhAYR

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:ffffc7c3c3fff7f3
Perceptual Hash:e4b1ce8b61649ace
Difference Hash:aa1c9e9e8e696606
Wavelet Hash:ffc7c7c3c33c2000
Color Hash:#e0856c

Scan History

Scan history not available

Unable to load historical scan data