Summary
API
Submitted URL: https://xn--skickablommorgteborg-hbc.se
AI Security Verdict
Low Risk
Confidence: 68%
Swedish flower-shop e-commerce page self-branded as Flowerhouse with no credential/payment forms, no impersonation, no malware or Indicators of Compromise; only a weak .to-TLD IDS alert and unranked/unknown-age prior.
Risk Factors (3)
Safety Factors (5)
Details
Page Title
Skicka Blommor | Beställ Blombud Online | Leverans idag
Scan Type
public
Domain Name Analysis
Domain 'xn--skickablommorgteborg-hbc.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'xn--skickablommorgteborg-hbc' spans 28 characters with six vowels and 19 consonants, plus 3 hyphens. Tokenizing the label suggests nine words: xn, s, kick, a, blom, m, org, teborg, hbc. Median word length is 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 |
|---|---|---|---|
| 18 | 172.67.184.63Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 194.9.94.86 | Sweden | AS39570Loopia AB |
| 2 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 2 | 104.26.0.40Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.20.102Google · CDN | United States | AS15169Google LLC |
| 2 | 37.252.172.123 | Frankfurt am Main, Hesse, Germany | AS29990Xandr Inc. |
| 2 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 2 | 192.178.183.94Google · CDN | United States | AS15169Google LLC |
| 2 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 88 | 36 | - | - |
Detected Technologies8
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