Security Scan Report: samop.pages.dev

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Submitted: Jan 2, 2026, 10:35:24 AMCompleted: Jan 2, 2026, 10:37:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is samop.pages.dev and was registered NaN years ago.

Submitted URL: https://samop.pages.dev/id/apps/mac

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site contains a malicious primary domain indicator; treat as high‑risk and do not use.

Risk Factors
Primary domain pages.dev flagged as malicious
Unranked domain with no reputable reputation
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

429 Too Many Requests

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

technology software

(63%)

Domain Information

You're looking at domain 'samop.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'samop'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://samop.pages.dev/id/apps/mac

Page Load Overview

7.39s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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
Text Length:1,967 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.254United States
AS13335CLOUDFLARENET
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF0909F9F16303F2E238572F8835168CF740966EB9C25E28749215F72CA041C8B5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxYy1bx0AqNvlIgIHTF83TF83TF83TF83TF83TFf:kl1mAW8TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAEAgAAAAAAAgAIAAAAAABAAAAAAAAQAAAAAAAAAIAAAAAAAAAAAAACAAAAIAAAABBAAAAAAAAACAQAAAAAAAQAEAA

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:00ffffffffffffff
Perceptual Hash:e666666666666632
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#4c40bf

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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