Security Scan Report: diclemrehabilitasyon.com

Redirected to:
https://diclemrehabilitasyon.com/sayfa-vizyonumuz-44.html
Submitted: Sep 27, 2026, 11:23:38 PMCompleted: Sep 27, 2026, 11:24:16 PMpubliccompleted

This website contacted 12 IPs in 2 countries across 7 domains to perform 66 HTTP transactions. The main domain is diclemrehabilitasyon.com and was registered 29 years ago.

Submitted URL: http://diclemrehabilitasyon.com/sayfa-vizyonumuz-44.html

Effective URL:

https://diclemrehabilitasyon.com/sayfa-vizyonumuz-44.html
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Established 4-year-old Turkish special-education center with own-brand content, no forms collecting credentials or payment, and no threat-intel, malware, or IDS hits. Safe to use.

Safety Factors (5)
Domain operating for over 4 years (well-established)
No credential, password, or payment form — only a newsletter email field
No threat-intelligence matches, no YARA malware, no network IDS alerts
Self-branded legitimate business content with contact details
Third-party scripts from reputable CDNs (Google Fonts, cdnjs.cloudflare.com, Google Maps)
Domain age information unavailable

Details

Page Title

Vizyonumuz

Scan Type

public

Domain Name Analysis

The domain 'diclemrehabilitasyon.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'diclemrehabilitasyon' covers 20 characters containing 8 vowels alongside 12 consonants. Segmentation suggests six words: dic, lem, rehab, i, lita, syon. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://diclemrehabilitasyon.com/sayfa-vizyonumuz-44.html

Page Load Overview

3.05s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,147 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as tr

Website Classification

Primary Category

education learning77% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
77%
blog personal website
46%
government public service
36%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11185.40.85.51Turkey
AS211859Ozkula Internet Hizmetleri Tic. LTD. STI.
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
5172.217.115.4Google · CDNUnited States
AS15169Google LLC
5142.251.157.119Google · CDNUnited States
AS15169Google LLC
5142.251.110.94Google · CDNUnited States
AS15169Google LLC
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.127.94Google · CDNUnited States
AS15169Google LLC
5172.217.112.4Google · CDNUnited States
AS15169Google LLC
5142.251.150.119Google · CDNUnited States
AS15169Google LLC
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6612--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D926316ACE96033111281D9E6F1971ABFEBA90BDB4EC96071FD0AD91FC3F898D03905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QtIpG1LX/pPn7EqqqvGbCJHc/aoZJWUP0Bk820HFrBRsTM:QtCcX/p3gbCJHqaoZJWU8iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19563:KBBuqqgYEkKJBQGAIQAEehgiIc/iRhHTSSMUwgAIIIYDwnaagSG9iAlhKSJS7iAAyogQBiZDFFAgmFZSJCSEHB4CAGEACPw4

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:ff000000ffffffff
Perceptual Hash:cc5aa9a5f6469899
Difference Hash:2b73f16c24163648
Wavelet Hash:d9000000ffcbf3ff
Color Hash:#ad79d2

Scan History

Scan history not available

Unable to load historical scan data