Summary
This website contacted 36 IPs in 4 countries across 12 domains to perform 55 HTTP transactions. The main domain is builz.pages.dev and was registered NaN years ago.
Submitted URL: http://builz.pages.dev/
Effective URL: https://builz.pages.dev/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
تصميم موقع بالاشتراك | بدون رسوم تأسيس، إلغاء في أي وقت، ورسوم شهرية ثابتة | Builz
Scan Type
public
Language
Arabic
Category
corporate business
(47%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'builz.pages.dev' is registered; it also runs on subdomain 'builz'. Count 5 characters in 'pages' split between two vowels and three consonants. Tokenizing the label suggests one word: pages. Expect five characters per word on average. 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 |
|---|---|---|---|
| 20 | 157.240.202.35 | Saint-Denis, Île-de-France, France | AS32934FACEBOOK |
| 1 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 142.251.141.104 | United States | AS15169GOOGLE |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 142.251.140.170 | United States | AS15169GOOGLE |
| 1 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 55 | 36 | - | - |
Detected Technologies2
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