Security Scan Report: sand77.pages.dev

Submitted: Jan 23, 2026, 11:51:52 PMCompleted: Jan 23, 2026, 11:53:11 PMpubliccompleted
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Summary

This website contacted 17 IPs in 4 countries across 18 domains to perform 1 HTTP transaction. The main domain is sand77.pages.dev and was registered NaN years ago.

Submitted URL: https://sand77.pages.dev/sepatu-wanita/

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

Site appears legitimate but has multiple redirects and an unknown-age subdomain; proceed cautiously.

Risk Factors
Multiple redirects detected (4)
Subdomain on hosting platform (.pages.dev) with unknown age
Domain unranked in Cisco Umbrella (low reputation)
Safety Factors
No malicious Indicators of Compromise matches
No password, email/username, or payment fields in forms
No brand impersonation in meta tags or page content
Content appears to be a promotional gaming site
Served over HTTPS
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

You're looking at domain 'sand77.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'sand77'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside three consonants. Segmentation suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sand77.pages.dev/sepatu-wanita/

Page Load Overview

6.98s
Total Load Time
110
HTTP Requests
14
Domains
2.0 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
14172.66.44.155United States
AS13335CLOUDFLARENET
6104.16.80.73United States
AS13335CLOUDFLARENET
6148.153.240.78United States
AS63199CDSC-AS1
6104.18.25.163United States
AS13335CLOUDFLARENET
6124.239.14.250Hong Kong
6140.205.151.4Unknown
659.82.120.242Unknown
647.246.136.160United States
AS45102Alibaba US Technology Co., Ltd.
6163.53.19.13Hong Kong
AS151373JAPAN 3D PRINTER
6163.181.131.238UnknownUnknown
11017--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCB421DD12BC8AEC130266C031AFE90CD832921B65D19DF2B35CCE550BA58E3697B5DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:l9ivY+8UdGCczGsUN6yyJk0E0d6CcrOGUl6q07ODzabTm:jDzabTm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:520386:AQCBIKIICiIwwgIQEUsUq6JEwIASVYQg1dRZmwQSYAEwSxWSVSoDwIAlA4oiRBCToQ0ABBEygAgIBAlEXZQURIYloAKWIHLF

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:#c2d22d

Scan History

Scan history not available

Unable to load historical scan data