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Security Scan Report: thesaudiboom.com

Submitted: Oct 26, 2025, 11:52:16 PMCompleted: Oct 26, 2025, 11:53:16 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is thesaudiboom.com and was registered NaN years ago.

Submitted URL: https://thesaudiboom.com/riyadh-air-and-delta-air-lines-sign-agreement-to-expand-connectivity/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk; page is inaccessible and shows a circular redirect but no malicious activity detected.

Risk Factors
Circular redirect detected
Unranked domain displaying brand-related content
Safety Factors
Domain age 837 days (well‑established)
No forms collecting passwords or payment information
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Riyadh Air and Delta Air Lines Sign Agreement to Expand Connectivity - The Saudi Boom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(49%)

Domain Information

You're looking at domain 'thesaudiboom.com' on the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'thesaudiboom' containing six vowels alongside 6 consonants. Breaking it apart gives three words: the, saudi, boom. The median word length lands at 4 characters. 'the' most strongly signals Chinese (Pinyin). Secondary signals appear in English and Indonesian.

Screenshot

Security scan screenshot of https://thesaudiboom.com/riyadh-air-and-delta-air-lines-sign-agreement-to-expand-connectivity/

Page Load Overview

8.07s
Total Load Time
10
HTTP Requests
4
Domains
88 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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious49% confidence
Type: static
Method: ml+structural

All Detected Categories

malicious
49%
other
47%
suspicious phishing
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.181.227United States
AS15169GOOGLE
0108.138.2.209United States
AS16509AMAZON-02
034.174.165.170Dallas, Texas, United States
AS396982GOOGLE-CLOUD-PLATFORM
0216.58.206.42United States
AS15169GOOGLE
0108.138.2.71United States
AS16509AMAZON-02
0108.138.2.142United States
AS16509AMAZON-02
0108.138.2.34United States
AS16509AMAZON-02
02600:9000:2490:2800:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:fe00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:de00:5:acf3:db40:21United States
AS16509AMAZON-02
1017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#9479d2

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data