Summary
API
This website contacted 15 IPs in 2 countries across 12 domains to perform 140 HTTP transactions. The main domain is byliv.nu and was registered 23 years ago.
Submitted URL: https://byliv.nu
AI Security Verdict
Low Risk
Confidence: 55%
Newly registered Danish city-guide site displaying its own brand with no impersonation, credential, or payment forms and no threat-intel hits. Content appears legitimate; only risk is its freshness.
Risk Factors (2)
Safety Factors (5)
Details
Page Title
ByLiv.nu skaber liv til byen!
Scan Type
public
Domain Name Analysis
The domain 'byliv.nu' uses the .nu country-code top-level domain without a subdomain. Count 5 characters in 'byliv' containing 1 vowel alongside 4 consonants. Tokenizing the label suggests 2 words: by, liv. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 14 | 142.132.203.237 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 9 | 104.20.20.192Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 9 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 9 | 142.251.14.155Google · CDN | United States | AS15169Google LLC |
| 9 | 172.66.171.172Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 142.251.14.154Google · CDN | United States | AS15169Google LLC |
| 9 | 23.52.180.4Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 142.251.14.157Google · CDN | United States | AS15169Google LLC |
| 9 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 140 | 15 | - | - |
Detected Technologies24
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