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Security Scan Report: 3milyartotofull.pages.dev

Submitted: Jan 20, 2026, 8:28:31 PMCompleted: Jan 20, 2026, 8:30:41 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 12 domains to perform 65 HTTP transactions. The main domain is 3milyartotofull.pages.dev and was registered NaN years ago.

Submitted URL: https://3milyartotofull.pages.dev/3milyartotofull.pages.dev./

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain (>5 years old)
No malicious Indicators of Compromise
No password, email/username, or payment fields in forms
Domain age information unavailable

Details

Page Title

Slot Gacor 3MilyarToto: Link Gacor Hari Ini RTP Tinggi & Jackpot Besar

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name '3milyartotofull.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain '3milyartotofull'. The second-level label 'pages' is 5 characters long holding 2 vowels versus three consonants. Tokenizing the label suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://3milyartotofull.pages.dev/3milyartotofull.pages.dev./

Page Load Overview

56.85s
Total Load Time
119
HTTP Requests
17
Domains
8.5 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:6,647 chars
Detector Agreement:60%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19163.181.131.238Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
1089.222.119.81United States
AS37963
10148.153.240.73United States
AS63199CDSC-AS1
1047.246.136.160United States
AS45102Alibaba US Technology Co., Ltd.
1047.246.165.112Singapore
AS45102Alibaba US Technology Co., Ltd.
10188.114.96.3United States
AS13335CLOUDFLARENET
10148.153.240.72United States
AS63199CDSC-AS1
10172.67.189.152United States
AS13335CLOUDFLARENET
10104.16.79.6United States
AS13335CLOUDFLARENET
10142.251.141.106United States
AS15169GOOGLE
11911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DD4F35C14BD8EE8330125C8B1BAE61C1839621EB7D06DE8769C8E350FE19A7193F9D7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kNOe1Ja3CNUHw3LE/v5jz4qa3CNUHw3LE/v5jz49IM/k+:Hk+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:614722:aiFJYTkKKME2kQ4EAIA1AWkDCiSnAoALIVAZqEIQCEqQJiLggWGFKA2mMAMCiWEmrGESFGQQAb1Q0oRyFFrCaEAdCACASwHT

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:ff1c1e1e1e7e0000
Perceptual Hash:969c69c3acac9cb8
Difference Hash:23fcbcb4b4f0c033
Wavelet Hash:ff3c1e1e7e7e0000
Color Hash:#78473a

Other Hashes

Crop Resistant:23fcbcb4b4f0c033,2e68666762787010,dcfcb4f4bcf4c023,24d4d9de58281d33,336943aaaa27552b

Scan History

Scan history not available

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