Security Scan Report: tege.club

Redirected to: https://tege.club/

Submitted: Apr 5, 2026, 6:54:48 PMCompleted: Apr 5, 2026, 6:56:15 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is tege.club and was registered NaN years ago.

Submitted URL: http://tege.club/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Site impersonates Telegram on a brand‑new unranked domain; likely phishing – do not trust.

Risk Factors
Brand impersonation: meta tags claim Telegram on a non‑official domain
Domain age < 7 days (critical new domain)
Domain not in Cisco Umbrella top 1M (unranked)
High JavaScript obfuscation score (100) suggesting attempts to hide content
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(87%)

Domain Information

The domain name 'tege.club' uses the membership-focused generic top-level domain (.club) while skipping any subdomain. The core label 'tege' covers 4 characters containing two vowels alongside 2 consonants. Word splitting yields two words: te, ge. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.31s
Total Load Time
25
HTTP Requests
4
Domains
534 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:154 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network87% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
87%
technology software
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13149.154.167.99Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1247.83.227.42Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
252--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCF13012F314E43A23D7067D70A1F14D42D2E44BA791AE20B9F972E20F8FDAA90F7615

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nujtSWPkMcHP3CnPdI8D9kgwLf4G+msUnSO7OX13poB0BX8IcgV:ujtSWPkMc/CnTDwLAlUSyo5CB058+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8077:OqQD8DJ4h0hGhhJaAEAALGHoAHdQGChhRhScAQQARFEEVGCECAUQxoKc1bFEsMAksMcEEOAUAmUIB+BA0A4ACAYBvADAhBnI

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:ffffe7e7efffffff
Perceptual Hash:b333cc8c3333cccc
Difference Hash:0000080818000000
Wavelet Hash:3f27272720300000
Color Hash:#866d2d

Other Hashes

Crop Resistant:0000080818000000

Scan History

Scan history not available

Unable to load historical scan data