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Security Scan Report: www.qatarday.com

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Submitted: Jun 11, 2026, 1:24:45 PMCompleted: Jun 11, 2026, 1:42:34 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is qatarday.com and was registered NaN years ago.

Submitted URL: https://www.qatarday.com/see-the-full-list-of-26-man-squads-playing-in-world-cup-2022

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site is old and self‑branded with no malware indicators, but the presence of multiple login forms on an article page raises mild concern.

Risk Factors
Login forms on a content‑only article page
Unranked domain reputation
High JavaScript obfuscation score
Safety Factors
Domain age >5 years
Self‑branding matches domain (no brand impersonation)
No external credential exfiltration detected
No IoC or malware signatures
Domain age information unavailable

Details

Page Title

See The Full List of 26-Man Squads Playing in World Cup

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(84%)

Domain Information

Domain 'www.qatarday.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'qatarday' stretches across 8 characters split between 3 vowels and five consonants. Splitting it apart reveals two words: qatar, day. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.qatarday.com/see-the-full-list-of-26-man-squads-playing-in-world-cup-2022

Page Load Overview

6.52s
Total Load Time
198
HTTP Requests
40
Domains
5.9 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
Text Length:80,449 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network84% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
84%
news media journalism
32%
forum
25%
news/blog
20%
social_media
20%

Detected Features

Login Form
Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30192.178.183.156United States
AS15169Google LLC
2818.244.18.60United States
AS16509Amazon.com, Inc.
28185.172.148.132Germany
AS44239proinity GmbH
28104.17.25.14United States
AS13335Cloudflare, Inc.
28142.251.13.139United States
AS15169Google LLC
2883.136.253.86United Kingdom
AS202053UpCloud Ltd
28142.251.20.154United States
AS15169Google LLC
1987--

Detected Technologies4

PasswordField
100%
Microsoft ASP.NET
40%
HSTS
40%
Episerver/Optimizely CMSvCMS 12+ (.NET Core)
25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABB4B431F840293FAB3B04C4E749D71A71DAA31FF5D90410E5E607684AE9E78F52E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Qh/S8vXYde+Fjcr2ab6i+sfRBj/zlbpUDPaouhiLdkeQv:Q94FjcrBrjRBj/zBpUza8SeQv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500189:giAAhKJNstATHTi4QqigSGhhFRAAkNxCLi2VRUgc8EICGiNRkkExoY6ACgJJkJBbKpwLKMgsFARBAATFSwyEZzpwUYVAwJHM

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:00003c1c18180000
Perceptual Hash:9cc136699cb6c99c
Difference Hash:c431323233332f2e
Wavelet Hash:0000ffff9f998383
Color Hash:#bf4084

Other Hashes

Crop Resistant:862392a4a28a3713,c431323233332f2e

Scan History

Scan history not available

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