Security Scan Report: ratu123satset.com

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Submitted: Sep 30, 2026, 9:01:18 AMCompleted: Sep 30, 2026, 9:02:42 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

New, unranked site promoting illegal slot gambling with scraped Samsung template markup. No credential or payment harvesting and no threat-intel hits, so risk is moderate — but gambling content and unknown operators make it unsafe to use.

Risk Factors (4)
Illegal/offshore online gambling promotion with deposit incentive
Very new domain (32 days) with no reputation footprint
Samsung storefront markup and strings copied wholesale into a gambling page
Excessive redirect chain (7 hops, 4 cross-domain)
Safety Factors (5)
No password, disguised-password, or payment fields captured by this page (verified form facts: all zero)
No Indicators of Compromise, YARA malware, IDS alerts, or Safe Browsing hits
No credential exfiltration detected; cross-origin form targets are legitimate Samsung SSO endpoints
JavaScript framework-level Function() usage only; no obfuscated malicious script
Self-branded (RATU123) rather than impersonating another entity's brand
Domain age information unavailable

Details

Page Title

RATU123 | Akses Pusat Jackpot Terbaru Lebih Satset untuk Slot Gacor Hari Ini

Scan Type

public

Domain Name Analysis

The domain 'ratu123satset.com' uses the commercial generic top-level domain (.com). The registrable portion 'ratu123satset' spans 13 characters with 4 vowels and 6 consonants, notching three digits. Tokenizing the label suggests six words: rat, u, 123, s, at, set. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ratu123satset.com/

Page Load Overview

9.43s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:id-ID
Text Length:27,556 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce shopping59% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
59%
gambling betting
51%
corporate
35%
entertainment media
31%
e-commerce
30%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
50188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.52.180.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
223.59.16.69Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
2144.24.190.49Oracle · CLOUDFrankfurt am Main, Hesse, Germany
AS31898Oracle Corporation
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
223.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2172.217.113.4Google · CDNUnited States
AS15169Google LLC
213.226.244.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2172.64.148.222Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19071--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156051A6094F0183701EB41C6E7956B0ABEA5D30BD90A84917FEC6FD41FC6F639A0B62D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:FDyxNB7OujYEH4SGQAripOByFyc98LLWMv9BDV1ayEn6lCE0vcjnPWayEMshBlUh:mDYEH4SGQAriEByFyc98LLWn6lBOIBe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:859559:iFBiIIKuAhRMgYgQUAAgrgxSWBYAMRmANFkJsyThCAhyYlFsALaBoWEAKMDAAIGw6MSJEdwlChChkAAEWAwomQcRKaBIQVwY

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:ffff989898980800
Perceptual Hash:c88633f34cf87989
Difference Hash:4d693331313111d1
Wavelet Hash:ffff999899980900
Color Hash:#2d6cd2

Scan History

Scan history not available

Unable to load historical scan data