Security Scan Report: cnn-arabic-images.cnn.io

Submitted: Apr 14, 2026, 11:26:40 PMCompleted: Apr 14, 2026, 11:28:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is cnn-arabic-images.cnn.io and was registered NaN years ago.

Submitted URL: https://cnn-arabic-images.cnn.io

The Cisco Umbrella rank of the primary domain is #9,074 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

cnn-arabic-images.cnn.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(45%)

Domain Information

The domain name 'cnn-arabic-images.cnn.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'cnn-arabic-images'. Count 3 characters in 'cnn' containing 0 vowels alongside three consonants. Word splitting yields 1 word: cnn. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnn-arabic-images.cnn.io

Page Load Overview

0.55s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:248 chars
Detector Agreement:67%

Website Classification

Primary Category

cryptocurrency blockchain45% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
45%
news media journalism
44%
adult content
38%
entertainment media
30%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.123.5Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8048F77329A063986558498F05B43099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszZ2bMy8Oldu:qhoC9JSqzzbs6o3Sj3gcrsV2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184666:AG0Aaxw4CEASkfBCxaEVA6YQoAHHAAF1AgSEE/AWiYkAkgdmOCtQqaIAM4Yz4YACUoJCECglMAIbYK48WDiQKELBiKpDKwJG

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:ffc7c7c3f3ffffff
Perceptual Hash:b0319bcecc653333
Difference Hash:00141c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#87b5c5

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data