Summary
This website contacted 15 IPs in 3 countries across 15 domains to perform 136 HTTP transactions. The main domain is sv.hotels.com and was registered NaN years ago.
Submitted URL: https://sv.hotels.com/helpcenter?intent=VIEW_BOOKING
The Cisco Umbrella rank of the primary domain is #22,050 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
AI analysis skipped: Low-risk scan (score=24) on well-ranked domain #22,050.
Safety Factors
Details
Page Title
All Help Articles
Scan Type
public
Language
Swedish
Category
unknown
(0%)Domain Information
Domain 'sv.hotels.com' uses the commercial generic top-level domain (.com), featuring subdomain 'sv'. The second-level label 'hotels' is 6 characters long with two vowels and 4 consonants. Tokenizing the label suggests one word: hotels. 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 |
|---|---|---|---|
| 10 | 2.16.238.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 104.18.87.42 | United States | AS13335Cloudflare, Inc. |
| 9 | 23.52.182.43 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 104.18.86.42 | United States | AS13335Cloudflare, Inc. |
| 9 | 92.123.104.58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 34.251.8.28 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 9 | 46.137.170.165 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 9 | 2.16.241.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.52.180.163 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 23.216.77.20 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 136 | 15 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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