Security Scan Report: www.iloveqatar.net

Submitted: Dec 7, 2025, 3:04:43 AMCompleted: Dec 7, 2025, 3:05:36 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 2 domains to perform 52 HTTP transactions. The main domain is iloveqatar.net and was registered NaN years ago.

Submitted URL: https://www.iloveqatar.net/news/sports/cruz-azul-mexico-cr-flamengo-brazil-fifa-derby-americas-qatar-2025

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain registered in 2006
Cloudflare security page indicates legitimate traffic filtering
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

You're looking at domain 'www.iloveqatar.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'www'. The second-level label 'iloveqatar' is 10 characters long split between five vowels and five consonants. It segments into 3 words: i, love, qatar. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iloveqatar.net/news/sports/cruz-azul-mexico-cr-flamengo-brazil-fifa-derby-americas-qatar-2025

Page Load Overview

0.23s
Total Load Time
52
HTTP Requests
2
Domains
1 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-US
Text Length:348 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
39%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24104.26.12.94United States
AS13335CLOUDFLARENET
24104.18.94.41United States
AS13335CLOUDFLARENET
5172.67.75.184United States
AS13335CLOUDFLARENET
5104.26.13.94United States
AS13335CLOUDFLARENET
52606:4700::6812:5f29United States
AS13335CLOUDFLARENET
52606:4700::6812:5e29United States
AS13335CLOUDFLARENET
52606:4700:20::681a:d5eUnited States
AS13335CLOUDFLARENET
52606:4700:20::ac43:4bb8United States
AS13335CLOUDFLARENET
52606:4700:20::681a:c5eUnited States
AS13335CLOUDFLARENET
4104.18.95.41United States
AS13335CLOUDFLARENET
5210--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155823D378946101F62774F9B6165F7648020F384E702D3BEF467AE5C97C9A0F26A23AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Va+J9yIPl2boVmJkEqvnB/Z2o0dAcw2pdqagDWlbVsHA6KyviXP:U+Jcq4brJkxcPHyWaJs/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18238:SBDcESUEhyYChBUKEQFJMHWGgBKSC2kQFpCcYNDUAHAoADBOBIsI1wEAschcKZgIgwAaBJDQUJAgkSFKKA5NFIgCFiICk3Hq

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:cfc7c7c3ffffffe7
Perceptual Hash:b03823cfc3ccc6ce
Difference Hash:181c041e0000000c
Wavelet Hash:3c000000ffffffc3
Color Hash:#d2b079

Other Hashes

Crop Resistant:181c041e0000000c

Scan History

Scan history not available

Unable to load historical scan data