Summary
API
Submitted URL: https://sarafinasbakskola.se
AI Security Verdict
Safe Website
Confidence: 78%
Swedish baking-course site with self-branding matching its domain, a plain contact/booking form and no credential or payment fields. No malicious content signals; the lone threat-intel tag is an unverified generic reputation entry.
Safety Factors (4)
Details
Page Title
Bakkurs i Ekerö – Surdeg & Kanelbullar | Sarafinas Bakskola
Scan Type
public
Domain Name Analysis
Domain 'sarafinasbakskola.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'sarafinasbakskola' stretches across 17 characters holding seven vowels versus 10 consonants. Breaking it apart gives 6 words: sara, fin, as, bak, skol, a. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 16 | 160.153.0.177Cloudflare · CDN | United States | AS209242Cloudflare London, LLC |
| 6 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 6 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 6 | 192.0.77.48 | San Francisco, California, United States | AS2635Automattic, Inc |
| 6 | 99.84.152.27Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 23.207.210.143Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 6 | 142.251.14.132Google · CDN | United States | AS15169Google LLC |
| 6 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 6 | 23.67.142.207Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 190 | 30 | - | - |
Detected Technologies22
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
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