Security Scan Report: teleqarnn.com

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Submitted: Jan 18, 2026, 4:23:03 AMCompleted: Jan 18, 2026, 4:24:26 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is teleqarnn.com and was registered NaN years ago.

Submitted URL: https://teleqarnn.com/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating Telegram; do not provide any credentials or scan QR codes.

Risk Factors
Brand impersonation / typosquatting of Telegram
Critical‑age domain (<7 days) used for phishing
Unranked domain claiming a well‑known brand
Phishing QR‑code login page without proper authentication flow
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain 'teleqarnn.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'teleqarnn' stretches across 9 characters containing 3 vowels alongside 6 consonants. Tokenizing the label suggests four words: tele, q, arn, n. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.71s
Total Load Time
21
HTTP Requests
3
Domains
33 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:241 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
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.236.219Bangkok, Bangkok, Thailand
AS132203Tencent Building, Kejizhongyi Avenue
10149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
212--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BF15262F714E83A2317067D74A1F14D42E3E44BD7D1AA50B9A572E20F8FDF680E7251

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nujtSoU8O7ZUWTSh4c1gtpf4G+m5CgnSODJD13poBj4BX8N9TV:ujtSoUZZUG7LtpAMCgSUD5CBM58R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7788:MDCSgVJ4DIBEBghxEU+DQoK0yq0wJCANAQk4gQAgZGCFoyFFFAGwRZQgRvDOIJhjKQoYQsZVIGBgJAGhkAgEAQARbCqeBqUE

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:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:3c242424e0f0f0f0
Color Hash:#78593a

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data