Security Scan Report: wangghj.club

Redirected to: https://wangghj.club/

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Submitted: Dec 14, 2025, 5:35:45 AMCompleted: Dec 14, 2025, 5:36:31 AMpubliccompleted
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Summary

This website contacted 6 IPs in 4 countries across 4 domains to perform 30 HTTP transactions. The main domain is wangghj.club and was registered NaN years ago.

Submitted URL: http://wangghj.club/

Effective URL: https://wangghj.club/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating Telegram; newly registered and high risk.

Risk Factors
Brand impersonation on a newly registered domain
Domain age less than 7 days (critical)
Unranked domain with low reputation
Mismatch between displayed brand (Telegram) and actual domain (wangghj.club)
Absence of legitimate brand verification
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain 'wangghj.club' uses the membership-focused generic top-level domain (.club) without a subdomain. The registrable portion 'wangghj' spans 7 characters split between 1 vowel and six consonants. Word splitting yields three words: wang, gh, j. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://wangghj.club/

Page Load Overview

10.49s
Total Load Time
30
HTTP Requests
4
Domains
35 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:218 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
technology software
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.12.205United States
AS13335CLOUDFLARENET
547.79.252.168Singapore
AS45102Alibaba US Technology Co., Ltd.
5149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
52001:67c:4e8:f004::9Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
5172.67.74.152United States
AS13335CLOUDFLARENET
5104.26.13.205United States
AS13335CLOUDFLARENET
306--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107F15062E724E83A2357067D34E1F10E46E2E447D7C1AA50B9A972E20F8FDF780E7255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ajtSoUZZUG7Lt103pYSMCcGyqW75QhE58h:+tSGs303pcCcGyHmd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7969:ASgC2JHAKMIZCKYcnVvIggYtCAZ0GABQgQTAIANS8CEfADACQHgAFALcAACAuZEAIGHpINAGkEFQFBiDABHFMxBidT41kAWO

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:ffffe7e7e7ffffff
Perceptual Hash:b333cc8c3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:3c242424e4fcfcfc
Color Hash:#53ac72

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data