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Security Scan Report: qooqle-meet.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c78138c7-da74-4dc3-bdbc-477ddbe64121Domain and IP registration (RDAP)/api/v1/rdap/c78138c7-da74-4dc3-bdbc-477ddbe64121How often this domain was scanned/api/v1/domain/stats/qooqle-meet.comScan history for this domain/api/v1/domain/history/qooqle-meet.com?limit=15
This website contacted 5 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is qooqle-meet.com and was registered 2 weeks ago.

Submitted URL: https://qooqle-meet.com/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Typosquat of Google Meet on a 5-day-old domain using copied Google branding and a fake conference-join page; reported as phishing. Avoid entering any data.

Risk Factors (4)
Typosquatted hostname impersonating Google Meet
Copied Google branding text on a non-Google domain
Newly registered domain (5 days) impersonating a major brand
Phishing threat-intel report on the primary domain
Domain age information unavailable

Details

Page Title

Meet

Scan Type

public

Domain Name Analysis

Domain 'qooqle-meet.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'qooqle-meet' is 11 characters long with five vowels and 5 consonants, plus one hyphen. It segments into 5 words: qo, o, q, le, meet. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Google Meet Kamepa BbIK/IIOUCHa ToToBb! npucoesMHUTbCA? _ Bolitu 8 koncbepenuwio @ _Boiitn 8 KoncbepeHynio

Page Load Overview

0.24s
Total Load Time
141 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion80% confidence
Type: static
Method: ml+structural

All Detected Categories

forum community discussion
80%
government public service
49%
news media journalism
45%
adult content
38%
healthcare medical
36%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.103.106.162Amsterdam, North Holland, Netherlands
AS216071Servers Tech Fzco
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
55--

Detected Technologies5

Open-Graph-Protocolvwebsite
100%
Node.js
50%
Ubuntu
40%
Nginxv1.18.0
40%
Express
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12482855A49FB30265993B0346F7613003035D82BF609DDE83E9D965CAFD2694CCB2BE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Tx71CkVjR/VUASgOVnswWMAp4dP/Mhhp8PNgdJYYU6BUhmEwS0k51n4efhQjJ:ZjhOVnswWMApZhdJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18182:QUYu4KUFDQeICABgQYriBiKgAQAGEpiYswKRUQhA4EKZInDg2AEB5jLkmACTkYmZKSrg4QGAEICpWMDLC1sMkAMAwMgUxQ1A

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:ffffc7878387ffff
Perceptual Hash:b2c1cd3c39b236c9
Difference Hash:8c022d2f2f2f2c00
Wavelet Hash:0f0f0701010787ff
Color Hash:N/A

Other Hashes

Crop Resistant:8c022d2f2f2f2c00,01100c30304cb233

Scan History

Scan history not available

Unable to load historical scan data