Security Scan Report: norvaxzbi.shop

Redirected to: https://norvaxzbi.shop/index.html

Submitted: Mar 11, 2026, 11:06:21 AMCompleted: Mar 11, 2026, 11:07:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is norvaxzbi.shop.

Submitted URL: https://norvaxzbi.shop/

Effective URL: https://norvaxzbi.shop/index.htmlRedirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

The site mimics Telegram login on an unranked domain, indicating high‑risk brand impersonation phishing.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Domain age unknown / appears newly registered
Mismatch between claimed brand (Telegram) and domain (norvaxzbi.shop)
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

You're looking at domain 'norvaxzbi.shop' on the commerce-oriented generic top-level domain (.shop) without a subdomain. The registrable portion 'norvaxzbi' spans 9 characters with 3 vowels and six consonants. It segments into 4 words: nor, vax, zb, i. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://norvaxzbi.shop/

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:244 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.196.64United States
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F518EA366A08C1A2371C31989D6F058CA268447D6A55C84F58C16DE4FE2EE2C6F333E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ntugvOOQYNdULog0+bvSl13jBBZjZjg5vuSs1fKBBJ3fSlqvBr:nY3OQYrg5VcJrBBHPgr5fSsr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2687:AgEiQIAQACgAAQEYkAIgAANAEAAQgAgAAEEAAJADAEAoACAMEAARgAiAAAAABABBQESDIAAGAgAARAAAAQAwAAACEAAFQAAE

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#ac5365

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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