Summary
API
Submitted URL: https://rorjouren.se
AI Security Verdict
Safe Website
Confidence: 78%
Independent Swedish-language plumbing knowledge site with self-branding, no credential or payment forms, and no threat-intel, hunting rule or IDS hits. Only anomaly is a mismatched meta description, which is not a security signal.
Safety Factors (5)
Details
Page Title
Rörjouren — Kunskapsbank om VVS och rörmokare - Rörjouren
Scan Type
public
Domain Name Analysis
You're looking at domain 'rorjouren.se' on the Swedish country-code top-level domain (.se). The core label 'rorjouren' covers 9 characters containing 4 vowels alongside 5 consonants. Word splitting yields four words: r, or, jour, en. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
All Detected Languages
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 42 | 72.60.93.60 | Paris, Île-de-France, France | AS47583Hostinger International Limited |
| 13 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 13 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 7 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 53 | 4 | - | - |
Detected Technologies20
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