Summary
API
Submitted URL: https://attsmakalivet.se
AI Security Verdict
Safe Website
Confidence: 88%
Swedish personal blog with art, music and travel posts. Self-branded, no login or payment forms, no threat-intelligence or malware signals. Unknown domain age is neutral here.
Safety Factors (4)
Details
Page Title
ATT SMAKA LIVET. Vi – Arletta och Ellington – är två personer med olika ursprung och bakgrund. Var för sig och tillsammans söker vi livets smak i upplevelser av konst, kultur, mat, resor, relationer och friska frukter. Läs och känn vilka smaker som lockar dig. - Låt dagen fånga migother network
Scan Type
public
Domain Name Analysis
The domain 'attsmakalivet.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'attsmakalivet' stretches across 13 characters split between 5 vowels and eight consonants. Splitting it apart reveals 4 words: at, ts, maka, livet. The median word length lands at three 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 |
|---|---|---|---|
| 8 | 93.188.2.52 | Sweden | AS39570Loopia AB |
| 3 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 3 | 172.66.171.172Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 3.160.150.115Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 3 | 142.251.20.138Google · CDN | United States | AS15169Google LLC |
| 3 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 3 | 18.64.211.128Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 142.251.157.4Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.14.106Google · CDN | United States | AS15169Google LLC |
| 0 | 17 | - | - |
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