Security Scan Report: dausbetkuberani.click

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Submitted: May 4, 2026, 3:50:21 AMCompleted: May 4, 2026, 3:51:42 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 12 domains to perform 231 HTTP transactions. The main domain is dausbetkuberani.click and was registered NaN years ago.

Submitted URL: https://dausbetkuberani.click/desktop/data/sinopools?m=36

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

New, unranked gambling site with a login form; moderate risk – avoid providing credentials.

Risk Factors
Newly registered domain (<7 days)
Login form on a brand‑new domain
Unranked domain reputation
Gambling site with credential collection
Domain age information unavailable

Details

Page Title

Dausbet: Situs Slot Gacor Hari Ini Terbaru Special Maxwin Di Slot88

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

gambling betting

(96%)

Domain Information

The domain name 'dausbetkuberani.click' uses the .click top-level domain and has no subdomain. The registrable portion 'dausbetkuberani' spans 15 characters with 7 vowels and 8 consonants. Word splitting yields five words: da, us, bet, kubera, ni. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dausbetkuberani.click/desktop/data/sinopools?m=36

Page Load Overview

9.24s
Total Load Time
231
HTTP Requests
12
Domains
1.7 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:3,119 chars
Detector Agreement:40%

Website Classification

Primary Category

gambling betting96% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
96%
social media network
64%
entertainment media
56%
technology software
31%
government public service
31%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17188.114.97.3United States
AS13335Cloudflare, Inc.
1713.33.50.156New York, New York, United States
AS16509Amazon.com, Inc.
172.20.245.166Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1718.66.112.41United States
AS16509Amazon.com, Inc.
1734.143.73.2United States
AS396982Google LLC
1723.213.161.106Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1734.143.78.2United States
AS396982Google LLC
17188.114.96.3United States
AS13335Cloudflare, Inc.
23113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CE32F2268E13427127394E42CB1BE0AFFC5A203C66A8E44F1FD46B56FD7F569C03699

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jpCugKjyLC7rthSIRjQ/D2bMmA7qycG63XfbWYHyFSXu0/SRS:tCugKjyLC7ZZRjQ/DBmIq463Xf7yML

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147186:LSCusobI1KRYAgqW4ADBBQmYuJ8OyDAEGAKgAALtgVREBIwKoxDriCFMxQSIhO6DiQSQrDoFCh4AWmUFEDkJ8QAXJJAxkgoC

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:0000c3c3c381c381
Perceptual Hash:a8545616bcbdaea4
Difference Hash:745123232b0b0f03
Wavelet Hash:0480f3c3c3c3c3ff
Color Hash:#583a78

Scan History

Scan history not available

Unable to load historical scan data