Summary
API
This website contacted 208 IPs in 9 countries across 62 domains to perform 250 HTTP transactions. The main domain is lovehoney.com and was registered 27 years ago.
Submitted URL: https://www.lovehoney.com/lingerie/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Lingerie - Women’s, Men’s & Plus Size Lingerie | Lovehoney US
Scan Type
public
Domain Name Analysis
The domain name 'www.lovehoney.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 9 characters in 'lovehoney' holding 4 vowels versus 5 consonants. Tokenizing the label suggests two words: love, honey. Average segment length settles at 4.5 characters. 'love' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Sinhala. Net impression: English phrase.
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 |
|---|---|---|---|
| 45 | 23.212.202.222 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 35 | 2.20.143.58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 27 | 172.64.155.35 | United States | AS13335CLOUDFLARENET |
| 14 | 104.126.37.17 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 34.149.56.127 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 10 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 6 | 104.17.159.113 | United States | AS13335CLOUDFLARENET |
| 5 | 34.228.202.170 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 52.222.236.107 | United States | AS16509AMAZON-02 |
| 5 | 3.174.45.126 | United States | AS16509AMAZON-02 |
| 250 | 208 | - | - |
Detected Technologies7
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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