Summary
API
Submitted URL: https://www.tolnaiallatorvos.hu
AI Security Verdict
Confirmed Scam
Confidence: 93%
Legitimate Hungarian veterinary site compromised with ClearFake/EtherHiding: critical exfiltration alerts, blockchain payload RPCs and a fake 'not a robot' lure. Avoid visiting; do not follow its verification steps.
Risk Factors (5)
Details
Page Title
Dr. Kovács Géza - Tolnai Állatorvos
Scan Type
public
Domain Name Analysis
Domain 'www.tolnaiallatorvos.hu' uses the Hungarian country-code top-level domain (.hu) with subdomain 'www'. The core label 'tolnaiallatorvos' covers 16 characters containing seven vowels alongside 9 consonants. Tokenizing the label suggests 7 words: to, lna, i, all, at, or, vos. Average segment length settles 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 |
|---|---|---|---|
| 15 | 185.80.49.249 | Hungary | AS62214Rackforest Zrt. |
| 3 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 3 | 23.36.162.200Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 15.197.152.159Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 3 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 3 | 2.17.198.49Akamai · CDN | Brussels, Brussels Capital, Belgium | AS20940Akamai International B.V. |
| 3 | 3.33.155.121Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 3 | 3.33.196.84Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 3 | 15.197.198.189Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 72 | 20 | - | - |
Detected Technologies15
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