Security Scan Report: roadtoqatar.qa

Redirected to:
https://roadtoqatar.qa/en
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Submitted: May 7, 2026, 5:33:44 PMCompleted: May 7, 2026, 5:35:12 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 128 HTTP transactions. The main domain is roadtoqatar.qa.

Submitted URL: https://roadtoqatar.qa

Effective URL: https://roadtoqatar.qa/enRedirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site with no malicious indicators; likely legitimate but new and unranked.

Risk Factors
Unranked domain
Unknown domain age
Safety Factors
No credential or payment forms present
Meta tags and brand name match the domain (self‑branding, not impersonation)
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Road to Qatar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

You're looking at domain 'roadtoqatar.qa' on the Qatari country-code top-level domain (.qa) and has no subdomain. Count 11 characters in 'roadtoqatar' holding five vowels versus 6 consonants. It segments into three words: road, to, qatar. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roadtoqatar.qa

Page Load Overview

2.70s
Total Load Time
156
HTTP Requests
4
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
Text Length:7,133 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
government public service
31%
adult content
30%
travel tourism
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5220.21.83.161Doha, Baladīyat ad Dawḩah, Qatar
AS8075Microsoft Corporation
52150.171.109.101United States
AS8075Microsoft Corporation
52150.171.109.194United States
AS8075Microsoft Corporation
1563--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173F28405F804CD356C23AD1A56BDDE38C08AD9F785AA995CBACFC94D02C17F50BB1B86

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FQXu6suDNiubBAQAgHgAOE8PSe5e2bZxHOFJ+c0+2T:Sxo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36745:hBD6UJEcBEGAhCNGAQGgw4zpARpulaWyFLhRowAjSggovDQCAbACbATKIABKxMJAhAQggIAaKgohtqHiHEGKCAFEhAAKgIcQ

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:ffffffffffff0700
Perceptual Hash:d5aa55aa55aa552a
Difference Hash:000000000000272c
Wavelet Hash:0f0f0f0f3f3f0200
Color Hash:#7a1f93

Other Hashes

Crop Resistant:000000000000272c

Scan History

Scan history not available

Unable to load historical scan data