Summary
API
This website contacted 3 IPs in 2 countries across 3 domains to perform 71 HTTP transactions. The main domain is pikkdamatea.hu and was registered 18 years ago.
Submitted URL: https://pikkdamatea.hu
AI Security Verdict
High Risk
Confidence: 65%
Single-source unverified strelastealer malware report on an established self-branded tea shop domain; no on-page phishing or credential forms found, but the malware indicator requires caution.
Risk Factors (1)
Details
Page Title
pikkdamatea.hu | Pikk Dáma Teakereskedés és Teabolt
Scan Type
public
Domain Name Analysis
The domain 'pikkdamatea.hu' uses the Hungarian country-code top-level domain (.hu) without a subdomain. The core label 'pikkdamatea' covers 11 characters split between 5 vowels and 6 consonants. Segmentation suggests four words: p, ikk, dama, tea. Average segment length settles at 3 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 |
|---|---|---|---|
| 25 | 79.139.62.188 | Hungary | AS62214Rackforest Zrt. |
| 23 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 23 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 71 | 3 | - | - |
Detected Technologies10
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