Security Scan Report: rokok11harumnya.xyz

Site favicon
Submitted: Feb 27, 2026, 9:06:39 PMCompleted: Feb 27, 2026, 9:08:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 290 HTTP transactions. The main domain is rokok11harumnya.xyz and was registered NaN years ago.

Submitted URL: https://rokok11harumnya.xyz/desktop/game/slot/habanero

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

New gambling site with login form; moderate risk due to fresh domain and credential collection.

Risk Factors
Very new domain (<7 days) – high likelihood of malicious intent
Credential collection form (password field) on a newly registered site
Critical JavaScript obfuscation score suggesting hidden behavior
Safety Factors
No malicious Indicators of Compromise detected
No payment/credit‑card fields present
No cross‑origin credential exfiltration observed
Content matches expected gambling site functionality (game listings, RTP claims)
No redirects or external malicious domains
Domain age information unavailable

Details

Page Title

Rokok11 - Situs Slot Online Gacor Dengan RTP Membara mencapai 98.4% Di semua permainan

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

entertainment media

(90%)

Domain Information

Domain 'rokok11harumnya.xyz' uses the open generic top-level domain (.xyz) while skipping any subdomain. The registrable portion 'rokok11harumnya' spans 15 characters with five vowels and eight consonants, notching two digits. It segments into six words: rok, ok, 11, haru, m, nya. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rokok11harumnya.xyz/desktop/game/slot/habanero

Page Load Overview

12.79s
Total Load Time
263
HTTP Requests
11
Domains
1.3 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
Text Length:5,649 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media90% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
90%
gambling betting
76%
adult content
48%
technology software
37%
cryptocurrency blockchain
26%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3923.50.131.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32172.67.144.138United States
AS13335Cloudflare, Inc.
3252.222.250.108United States
AS16509Amazon.com, Inc.
3223.50.131.150Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
322.16.241.87Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32188.114.96.3United States
AS13335Cloudflare, Inc.
32157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3213.226.247.71United States
AS16509Amazon.com, Inc.
2638--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D64DC3114F6342312B380E17964AB4BAFC5F607C61A8B84B6FD67E15FE7E95AC13224

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hCzLP7o2gZFiTz1cJjII5Gr5xLYRHsUMLnhn:hCzHo2gZFi/os3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:328703:EnRJCwANlEQQWQDEUIIjSAQWXQ5QEBDn3ICpJiEgAwIqoJjECwUuUIAIzzCEuDmAcM2BQtIWwSXokBIAGsgJKDIkmz1QC5Ao

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:2010fd3d003c3d3d
Perceptual Hash:8a742377278fd238
Difference Hash:4db0f171f1697169
Wavelet Hash:2038ff3f003c3d3d
Color Hash:#c5878f

Scan History

Scan history not available

Unable to load historical scan data