Summary
API
Submitted URL: https://physio-at-home.se
AI Security Verdict
Safe Website
Confidence: 82%
Aged (17-year) domain running a default WordPress install with placeholder content, no forms, no brand impersonation, and no threat-intel hits. Scanner-vs-client mismatch is ordinary Cloudflare bot protection.
Safety Factors (5)
Details
Page Title
Physio @ Home -other network
Scan Type
public
Domain Name Analysis
Within the Swedish country-code top-level domain (.se), 'physio-at-home.se' is registered while skipping any subdomain. Count 14 characters in 'physio-at-home' split between five vowels and seven consonants; bonus characters include two hyphens. Word splitting yields five words: ph, y, sio, at, home. Median word length is 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 |
|---|---|---|---|
| 5 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 104.18.95.41Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 104.18.94.41Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 11 | 4 | - | - |
Detected Technologies4
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