Security Scan Report: bzigr-617wkoczqi.edgeone.app

Redirected to:
https://t.me/+lFNsqxHN1I05NGNl
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Submitted: May 2, 2026, 2:51:50 AMCompleted: May 2, 2026, 2:52:59 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 12 HTTP transactions. The main domain is t.me and was registered NaN years ago.

Submitted URL: https://bzigr-617wkoczqi.edgeone.app/

Effective URL: https://t.me/+lFNsqxHN1I05NGNlRedirected

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page redirects to a Telegram group using a brand‑named subdomain on a low‑rank hosting platform; no credential collection is observed, resulting in moderate risk.

Risk Factors
Brand name (Telegram) used on unrelated low‑rank domain
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking for a site claiming a major brand
Safety Factors
No forms collecting credentials or payments
No malicious code or external IoC matches
Redirect points to an official Telegram short link (t.me)
Domain age information unavailable

Details

Page Title

BAAZIGAR | Join Telegram

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

social media network

(67%)

Domain Information

The domain name 'bzigr-617wkoczqi.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'bzigr-617wkoczqi'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bzigr-617wkoczqi.edgeone.app/

Page Load Overview

1.54s
Total Load Time
13
HTTP Requests
5
Domains
188 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:268 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.127.95United States
AS15169Google LLC
343.152.26.58Singapore
3142.251.20.94United States
AS15169Google LLC
134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198C1A60E5AB33041B67795982FE362362668900BF17BDDBC7A8CD635BF8419D48C3A4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBrcc6CJf88k+1K+eVBTI6wSQUypt0yD9gQzBlQdCW7IA5+s4x6svzalrD1GPuSA:VrccRf88PI/06nQUypt0ybBlmKs4xcln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6098:IZVIBgRgEIAMiKCk0ChEYswKhhhioYEBanEBCAiRCCgAKAEJNBJGRAhAHZArEEAmAAATQhACFAIagQYIQCCAWRABSLAFCkwQ

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:ffffe7c3c3e7ffff
Perceptual Hash:a699996666993366
Difference Hash:08204c4c4c4c2008
Wavelet Hash:fcfcc0c003033f3f
Color Hash:#7ad22d

Other Hashes

Crop Resistant:08204c4c4c4c2008

Scan History

Scan history not available

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