Security Scan Report: google4rabetplay.com

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 11 domains to perform 42 HTTP transactions. The main domain is google4rabetplay.com and was registered 1 year 9 months ago.

Submitted URL: https://google4rabetplay.com/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Lookalike app-store page wearing the 4rabet gambling brand on an unrelated domain, with copied Google Play meta text and fabricated winning testimonials. No forms or malware found, but brand impersonation and a gambling affiliate funnel make it unsafe.

Risk Factors (6)
Impersonation of a different entity's gambling brand on a non-official domain (google4rabetplay.com)
Meta tags copied from Google Play to fake an official app listing
Fabricated user reviews and winnings claims presented as genuine
Affiliate/redirect funnel to unverified gambling destinations
Third-party ad and adult ad-network scripts (exoclick, trafficjunky)
Deceptive 'Google'-prefixed hostname designed to look like an app-store page
Domain age information unavailable

Details

Page Title

4rabet

Scan Type

public

Domain Name Analysis

The domain name 'google4rabetplay.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'google4rabetplay' stretches across 16 characters split between 6 vowels and 9 consonants; it also includes one digit. Word splitting yields five words: google, 4, rabe, t, play. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://google4rabetplay.com/

Page Load Overview

0.99s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,088 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
63%
entertainment media
59%
adult content
56%
gambling betting
42%
download file sharing
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14162.55.247.229Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22.59.169.226Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2195.200.29.199Amsterdam, North Holland, Netherlands
AS216071Servers Tech Fzco
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.64.146.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
279.127.211.89Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4215--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14662FE2264FE9CA31562C2C16F664A4E6FE1D907D427CA0476FC5B865FC2E8BCC57288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:p1lhuzeTzdvNM8LV3rmXvZRSsYm9SU/qhUPTDZi:9k1j5wU/qhUPTli

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15712:IIsFmANwAEqRANICQEgIBAIAUKnSEdAYnkgHAoRCBazQQZAYEABABkVQAgABAJSLJrbkBABgIooGCzgFyABUYgCkEYAMEMAE

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:efe7e7e7ffefffff
Perceptual Hash:b333998999333333
Difference Hash:5a4c4c4c320d115b
Wavelet Hash:080000001f071b0b
Color Hash:#b7bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data