Security Scan Report: sand77.pages.dev

Submitted: Jan 22, 2026, 7:14:44 PMCompleted: Jan 22, 2026, 7:16:03 PMpubliccompleted
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Summary

This website contacted 16 IPs in 5 countries across 17 domains to perform 23 HTTP transactions. The main domain is sand77.pages.dev and was registered NaN years ago.

Submitted URL: https://sand77.pages.dev/helpcenter/payments/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; no immediate threats detected.

Risk Factors
Subdomain on a generic hosting platform (pages.dev) with unknown age
Multiple redirects (4) before reaching final page
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
HTTPS connection used
Content appears to be informational about a gaming service
Domain age information unavailable

Details

Page Title

SAND 77 | Best Online Gaming Experience with Daily Cash Prizes

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

e-commerce shopping

(25%)

Domain Information

The domain name 'sand77.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sand77'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sand77.pages.dev/helpcenter/payments/

Page Load Overview

3.44s
Total Load Time
118
HTTP Requests
18
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id-ID
Text Length:7,316 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce shopping25% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13163.181.131.238Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
7104.17.24.14United States
AS13335CLOUDFLARENET
7172.66.44.155United States
AS13335CLOUDFLARENET
7163.53.19.13Hong Kong
AS151373JAPAN 3D PRINTER
747.246.136.160United States
AS45102Alibaba US Technology Co., Ltd.
7148.153.240.78United States
AS63199CDSC-AS1
7184.24.77.41Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7148.153.240.72United States
AS63199CDSC-AS1
7104.16.80.73Unknown
723.52.182.142Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
11816--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1B421DD12BC8AEC130266C031AFE90CD832921B65D19DF2B35CCE550BA58E3697B5DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:lXivY+8UdGCczGsUN6yyJk0E0d6CcrOGUl6q07ODzabhI:5DzabhI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:519793:EJBgHDEHUBAYAJEJKUTZCZ4YIUnqwZp+AQs+UwgEMFEQ0AQYFxkIwCgYEjCYiYwBgKMIBIMkYhOhQChAqgAguiAjB1KJohAc

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

Average Hash:ffdf9f9f9ffffb00
Perceptual Hash:bc9e43c33c9c1aac
Difference Hash:4e3e32383cc82217
Wavelet Hash:ff861a0e067ff300
Color Hash:#53ac7d

Scan History

Scan history not available

Unable to load historical scan data