Security Scan Report: metatab.io

Redirected to:
https://www.metatab.io/
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Submitted: Jul 28, 2026, 11:31:44 AMCompleted: Jul 28, 2026, 11:32:52 AMpubliccompleted

This website contacted 4 IPs in 1 country across 5 domains to perform 13 HTTP transactions. The main domain is metatab.io and was registered 2 months ago.

Submitted URL: http://metatab.io/

Effective URL:

https://www.metatab.io/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 78%

10
Risk Score

New, unranked site with a login form collecting credentials; high likelihood of phishing.

Risk Factors (4)
Newly registered domain (<7 days)
Presence of credential collection form
Unranked domain with no reputation
No evidence of legitimate brand ownership
Domain age information unavailable

Details

Page Title

Metatab

Scan Type

public

Domain Name Analysis

The domain 'metatab.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The second-level label 'metatab' is 7 characters long split between 3 vowels and 4 consonants. Splitting it apart reveals 2 words: meta, tab. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metatab.io/

Page Load Overview

1.42s
Total Load Time
514 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:2,064 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business75% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
75%
social media network
69%
finance banking
61%
adult content
44%
technology software
41%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.150.1.193United States
AS16509Amazon.com, Inc.
3104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.217.208.95Google · CDNUnited States
AS15169Google LLC
3216.150.16.129United States
AS16509Amazon.com, Inc.
134--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD13A915FBD1042A752345EDE296B3FC35758087C715CEA5B94C2330AFCEB8699A278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UX1P3jNVByiH5ISYGhEuk+WbQGeE80ohiieK:U1YiH5IghEne2aiieK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45387:DYmMEYYCg4AlxKsBoY+UFYAIzOB0gxgBCAkNgFlNVERME4IhAIRBYUVdEh9EUCQzICiOISAJAZrRGQMsNjQASYgVA4rXKStA

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:017939613d3d017d
Perceptual Hash:ca653c3833719e3c
Difference Hash:9de1c1c9c9d9d1d1
Wavelet Hash:017971613d3d617d
Color Hash:#842d86

Other Hashes

Crop Resistant:9de3c1c9c9d1d1d1

Scan History

Scan history not available

Unable to load historical scan data