Summary
API
Submitted URL: https://evkredisihesapla.com/denizbank-konut-kredisi
AI Security Verdict
Low Risk
Confidence: 65%
New, unranked Turkish mortgage-calculator site using its own brand and referencing DenizBank rates. No forms collect credentials or payment, and no threat-intel/hunting rule/IDS hits — but a hidden 75-link block to bank application pages is concealed SEO/affiliate manipulation.
Risk Factors (3)
Safety Factors (6)
Details
Page Title
DenizBank Konut Kredisi Hesaplama – %3,49 Kasım 2026
Scan Type
public
Domain Name Analysis
The domain 'evkredisihesapla.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'evkredisihesapla' spans 16 characters split between seven vowels and nine consonants. Segmentation suggests 8 words: ev, k, red, is, i, he, sap, la. The median word length lands at two characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 3 | 104.207.79.89 | United States | AS22612Namecheap, Inc. |
| 3 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 3 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 9 | 3 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
Unable to load historical scan data