Security Scan Report: arabic.cnn.com

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Submitted: Oct 12, 2025, 12:06:11 PMCompleted: Oct 12, 2025, 12:08:00 PMpubliccompleted
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Summary

This website contacted 80 IPs in 2 countries across 19 domains to perform 108 HTTP transactions. The main domain is arabic.cnn.com and was registered NaN years ago.

Submitted URL: https://arabic.cnn.com/middle-east/video/2025/10/11/v182148-palestinians-return-gaza-post-ceasefire-diamond-digvid

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate CNN Arabic news page with no security concerns.

Safety Factors
Well‑known brand (CNN) with consistent branding
Long‑standing domain registration
Standard news content without suspicious redirects
Only standard search form present
Domain age information unavailable

Details

Page Title

متفائلون رغم فقدانهم كل ممتلكاتهم.. فلسطينيون يعودون إلى منازلهم ليجدوا أنقاضًا - CNN Arabic

Scan Type

public

Language

🇸🇦

Arabic

(86% confidence)

Category

news

(30%)

Domain Information

The domain name 'arabic.cnn.com' uses the commercial generic top-level domain (.com), featuring subdomain 'arabic'. Count 3 characters in 'cnn' holding zero vowels versus three consonants. Segmentation suggests 1 word: cnn. Most frequently, 'cnn' shows up in Sinhala. You may catch it in Vietnamese and Bulgarian as well.

Screenshot

Security scan screenshot of https://arabic.cnn.com/middle-east/video/2025/10/11/v182148-palestinians-return-gaza-post-ceasefire-diamond-digvid

Page Load Overview

90.12s
Total Load Time
108
HTTP Requests
19
Domains
11.0 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:86%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:86%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:21,466 chars
Detector Agreement:100%

Website Classification

Primary Category

news30% confidence
Type: static
Method: structural

All Detected Categories

news
30%

Detected Features

Search
OG: video.other

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2923.197.132.163Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.250.181.227United States
AS15169GOOGLE
118.245.64.167United States
AS16509AMAZON-02
1104.18.86.42United States
AS13335CLOUDFLARENET
1142.250.184.194United States
AS15169GOOGLE
1143.204.98.55United States
AS16509AMAZON-02
1146.75.121.67Frankfurt am Main, Hesse, Germany
AS54113FASTLY
118.173.205.127United States
AS16509AMAZON-02
1151.101.195.5San Francisco, California, United States
AS54113FASTLY
1143.204.98.104United States
AS16509AMAZON-02
10880--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E14B471010DA8B7326786E9B02B6F2DE563E90396C7D181B3F9C3E067D9C87512B46E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fjZILnivBBpVasMuK9HXpC9jVa7es/DvgVbEu2oP9VdFdAMgceIFPEIsMImOIZIL:7ZITwVhEN49Kg1VdFXXCi/LG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196187:nASV6AAZEoAABg1FwUUTCQYCHxHAuQSR7iqgQQGUkgmgGADawRCCIADwieAAIUHVRgPSWATYiX9JKoEFFwQuQRgSggAjI1BE

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:00ffe3e3e3ff0101
Perceptual Hash:e3f51a946b4d1722
Difference Hash:f50f4f474fcc3101
Wavelet Hash:00f7e3e3e3ff0101
Color Hash:#783a4c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data