Security Scan Report: www.ekonomist.com.tr

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Submitted: Oct 27, 2025, 9:45:22 PMCompleted: Oct 27, 2025, 9:46:51 PMpubliccompleted
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Summary

This website contacted 107 IPs in 6 countries across 29 domains to perform 122 HTTP transactions. The main domain is ekonomist.com.tr and was registered NaN years ago.

Submitted URL: https://www.ekonomist.com.tr/gundem/istanbul-ve-cevre-illerden-hissedilen-bir-deprem-oldu-66951

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news site with no security concerns.

Safety Factors
Established domain with long registration history
Content is a standard news article with no suspicious elements
No external links to untrusted domains
Domain age information unavailable

Details

Page Title

Balıkesir'de 6.1 büyüklüğünde deprem: İstanbul, İzmir ve Bursa'da da hissedildi - Gündem - Ekonomist

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

finance banking

(36%)

Domain Information

The domain 'www.ekonomist.com.tr' uses the Turkish country-code top-level domain (.com.tr) with subdomain 'www'. Count 9 characters in 'ekonomist' holding four vowels versus five consonants. Splitting it apart reveals three words: e, kono, mist. Median word length is 4 characters. The linguistic tilt is Italian for 'e'. Secondary signals appear in Albanian and Romanian.

Screenshot

Security scan screenshot of https://www.ekonomist.com.tr/gundem/istanbul-ve-cevre-illerden-hissedilen-bir-deprem-oldu-66951

Page Load Overview

19.54s
Total Load Time
122
HTTP Requests
29
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:8,805 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking36% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
36%
news/blog
35%
corporate
35%
news media journalism
31%
documentation technical
28%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16143.204.215.115United States
AS16509AMAZON-02
1142.250.186.136United States
AS15169GOOGLE
1172.217.18.1United States
AS15169GOOGLE
1162.19.138.117Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
1172.64.147.188United States
AS13335CLOUDFLARENET
1142.250.185.66United States
AS15169GOOGLE
1108.138.3.93United States
AS16509AMAZON-02
1185.7.176.222Turkey
AS42910PremierDC Veri Merkezi Anonim Sirketi
1143.204.215.69United States
AS16509AMAZON-02
189.222.119.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
122107--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CB3D832C78C183E85769292E069F29E92DF4E36EA3345D6F2F7473052C6DE215350AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:buZ9f+ys0ivGKDdp3GIkMujcoby7co0qGl3CBoRuYTfie+HRI:UG/kNctP0qGhCBoRuYcI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112323:9AqCIFHXEI4IKQp2gZgBGCBBghCHASZ0gASQKF14HAJRoLlkIineAxQUgWBoMI5IUCQkAgA6CuwVjECiDoEdcHIU7gIxAzBA

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:dffffffbc1c3f387
Perceptual Hash:adc6324d39c632cd
Difference Hash:365248323333831e
Wavelet Hash:d7ffffc181810103
Color Hash:#4084bf

Scan History

Scan history not available

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