Summary
API
Submitted URL: https://sand77.pages.dev/helpcenter/shipping-delivery/
AI Security Verdict
Moderate Risk
Confidence: 84%
Site shows moderate risk due to unknown subdomain age and redirects, but lacks credential or payment collection.
Risk Factors (3)
Safety Factors (3)
Details
Page Title
SAND 77 | Best Online Gaming Experience with Daily Cash Prizes
Scan Type
public
Domain Name Analysis
The domain name 'sand77.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sand77'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.
Screenshot
![(MASUKAN: —_LEBIH MURAH DI APP. MENJADI SELLER{ + CUSTOMER CARI Bl Cazmall: (Ba) ealsa’a agian, BB] Voiichere viskar? Visa MEMBER BARUEASTIWD ak SAND IF ‘Best:Online’Gaming Experience.with EPOSIT...](/api/v1/screenshot/3ceb3382-cb38-48a7-bb4d-b01c34959f65.png?width=640)
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 |
|---|---|---|---|
| 16 | 172.66.44.155 | United States | AS13335CLOUDFLARENET |
| 8 | 104.17.24.14 | United States | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 8 | 163.181.131.237 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 8 | 148.153.240.72 | United States | AS63199CDSC-AS1 |
| 8 | 104.18.25.163 | United States | AS13335CLOUDFLARENET |
| 8 | 47.246.136.160 | United States | AS45102Alibaba US Technology Co., Ltd. |
| 8 | 65.9.175.129 | United States | AS16509AMAZON-02 |
| 8 | 23.36.163.14 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 104.16.79.73 | Unknown | AS16509AMAZON-02 |
| 8 | 148.153.240.78 | United States | AS63199CDSC-AS1 |
| 120 | 14 | - | - |
Detected Technologies3
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