Summary
This website contacted 80 IPs in 5 countries across 21 domains to perform 194 HTTP transactions. The main domain is dogruhaber.com.tr and was registered NaN years ago.
Submitted URL: https://dogruhaber.com.tr/istanbulda-korkutan-deprem-1
AI Security Verdict
Safe Website
Confidence: 93%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
İstanbul'da hissedilen deprem! - Doğruhaber
Scan Type
public
Language
Turkish
Category
news/blog
(70%)Domain Information
You're looking at domain 'dogruhaber.com.tr' on the Turkish country-code top-level domain (.com.tr) with no subdomain. The second-level label 'dogruhaber' is 10 characters long holding four vowels versus 6 consonants. Segmentation suggests three words: do, gru, haber. Expect three characters per word on average. 'do' most often appears in Albanian. Usage also turns up in Portuguese (Brazil) and English contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 82 | 31.3.1.46 | Turkey | AS21245Medianova Internet Hizmetleri Ve Ticaret Anonim Sirketi |
| 36 | 185.102.219.173 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 26 | 46.235.12.54 | Turkey | AS215625HASNET Bilgi Teknolojileri Ticaret Ltd. Sti. |
| 19 | 104.26.3.86 | United States | AS13335CLOUDFLARENET |
| 12 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 12 | 185.102.219.172 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 8 | 87.250.251.119 | Russia | AS13238YANDEX LLC |
| 5 | 162.159.140.229 | United States | AS13335CLOUDFLARENET |
| 4 | 172.217.18.3 | United States | AS15169GOOGLE |
| 3 | 172.64.150.129 | United States | AS13335CLOUDFLARENET |
| 194 | 80 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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