Security Scan Report: getbet365.com

Redirected to:
https://www87hg1.cc/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is getbet365.com and was registered 1 year 8 months ago.

Submitted URL: https://getbet365.com/

Effective URL:
https://www87hg1.cc/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

A bet365-themed domain redirects to an unrelated .cc host serving an empty 'Welcome' page. No forms, IoCs or malware, but the unexplained off-domain redirect and lack of content warrant caution.

Risk Factors (3)
Cross-domain redirect from a brand-suggestive domain to a random .cc host with no discernible purpose
Landing page contains no real content, identity, or contact information after the redirect
Destination domain is unranked and of unknown age, so it cannot be independently vouched for
Safety Factors (4)
No credential, login, or payment fields anywhere on the page (0 forms, 0 password fields, 0 payment fields)
No Indicators of Compromise and no JavaScript malware patterns detected
No cross-origin form submissions or credential exfiltration; all JavaScript loaded from the page's own domain
No known malicious kit in the roster and no high-precision native hunting-rule hits
Domain age information unavailable

Details

Page Title

Welcome

Scan Type

public

Domain Name Analysis

You're looking at domain 'getbet365.com' on the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'getbet365' is 9 characters long containing 2 vowels alongside 4 consonants; bonus characters include 3 digits. It segments into three words: get, bet, 365. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getbet365.com/

Page Load Overview

2.46s
Total Load Time
6 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Text Length:50 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
40%
cryptocurrency blockchain
39%
healthcare medical
36%
news media journalism
35%
finance banking
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
238.173.42.5Hong Kong, Hong Kong
AS398478PEG TECH INC
238.173.42.13Hong Kong, Hong Kong
AS398478PEG TECH INC
42--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170223BB792634C45AE776824A78776053DD4E81F8B48CA8CFE8C60509FD11D09DA3BBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fqvXk3UC82pW5VQpcRQwz9BSKNohgqUPOZ05HBlFBGCvdjABSE4/:fqvXR2p3pcRQclNIgzMMFBBVjAB70

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10415:AUPIAQGQgRlQCUACG2a5AFwKMggEGIFGzNARBCtGFMcig62U0ACJREwskFgjMDIoIwQARB7UclKEkheSKBARMBgwALKMUgH4

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:ffe7e70000ffffff
Perceptual Hash:b333e6cd198ccc4c
Difference Hash:0c0c084551000000
Wavelet Hash:0707e70000dfc3c3
Color Hash:#1f5393

Scan History

Scan history not available

Unable to load historical scan data