Summary
This website contacted 17 IPs in 2 countries across 3 domains to perform 133 HTTP transactions. The main domain is giant-bicycles.com and was registered NaN years ago.
Submitted URL: https://www.giant-bicycles.com/global
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Giant Bicycles | The world’s leading brand of bicycles and cycling gear
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'www.giant-bicycles.com' is registered with subdomain 'www'. The registrable portion 'giant-bicycles' spans 14 characters containing four vowels alongside nine consonants, along with one hyphen. Word splitting yields 2 words: giant, bicycles. The median word length lands at 6.5 characters. 'giant' most strongly signals English. You will also see it in Chinese (Pinyin) and Breton contexts.
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 |
|---|---|---|---|
| 42 | 18.66.122.105 | United States | AS16509AMAZON-02 |
| 20 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 18.66.122.50 | United States | AS16509AMAZON-02 |
| 7 | 18.66.122.37 | United States | AS16509AMAZON-02 |
| 7 | 18.66.122.35 | United States | AS16509AMAZON-02 |
| 7 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 2600:9000:2250:a400:e:f8dc:c400:93a1 | United States | AS16509AMAZON-02 |
| 7 | 2600:9000:2250:6200:e:f8dc:c400:93a1 | United States | AS16509AMAZON-02 |
| 7 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 2600:9000:2250:a00:e:f8dc:c400:93a1 | United States | AS16509AMAZON-02 |
| 133 | 17 | - | - |
Detected Technologies4
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
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