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Security Scan Report: www.weloveist.com

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Submitted: Dec 14, 2025, 6:51:11 PMCompleted: Dec 14, 2025, 6:52:35 PMpubliccompleted
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Summary

This website contacted 79 IPs in 4 countries across 32 domains to perform 237 HTTP transactions. The main domain is weloveist.com and was registered NaN years ago.

Submitted URL: https://www.weloveist.com/listing/besiktas

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
Standard hosting without IPFS or cloud storage
Absence of malicious Indicators of Compromise
No password fields tied to suspicious external links
Domain age information unavailable

Details

Page Title

Beşiktaş - Istanbul

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

You're looking at domain 'www.weloveist.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'weloveist' stretches across 9 characters with 4 vowels and five consonants. Splitting it apart reveals four words: we, love, is, t. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.weloveist.com/listing/besiktas

Page Load Overview

12.83s
Total Load Time
237
HTTP Requests
32
Domains
2.1 MB
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-GB
Text Length:10,009 chars
Detector Agreement:50%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
travel tourism
33%
real estate property
32%
news media journalism
31%
social media network
26%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.112United States
AS13335CLOUDFLARENET
3104.21.63.235United States
AS13335CLOUDFLARENET
3192.0.78.23San Francisco, California, United States
AS2635AUTOMATTIC
3142.250.186.161United States
AS15169GOOGLE
3172.64.148.42United States
AS13335CLOUDFLARENET
3192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
399.84.152.83United States
AS16509AMAZON-02
3216.58.206.34United States
AS15169GOOGLE
313.35.58.91United States
AS16509AMAZON-02
3149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
23779--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103644CEBA1E5063683D786E1505A37BC7735810ACBC04CF4676BA27D8788ED712B639C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3MDCGMFEh1JFFNsig0ZxxnQgT7Z3CrfNtLamkk5Slh1WAjJMYhU2jgVWDe:8vJF/sig0ZxxnUUlhgQU2jg0De

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:334488:7CQgRCkhB0C8AWopuhyEchgkRGEQgIgCk08qUIPiU4QAHouiiB6oQqCAgzKAEEMBwgMImkwARhgIUMBSQA4ICgvEckT4gNcA

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:7c000000f9f9ffff
Perceptual Hash:c810b7ebf71688b4
Difference Hash:c0f3f1880353137c
Wavelet Hash:78000000f9f9ffff
Color Hash:#a8ac53

Other Hashes

Crop Resistant:c0f3f1880353137c,9e267e7f5b3337f6,a1c1513290c10940,40467454d193a44c

Scan History

Scan history not available

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