Security Scan Report: metatab.io

Redirected to:
https://www.metatab.io/
Site favicon
Submitted: Jul 25, 2026, 10:07:22 PMCompleted: Jul 25, 2026, 10:08:32 PMpubliccompleted

This website contacted 4 IPs in 1 country across 5 domains to perform 12 HTTP transactions. The main domain is metatab.io and was registered 2 months ago.

Submitted URL: https://metatab.io/

Effective URL:

https://www.metatab.io/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

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

Risk Factors (3)
Newly registered domain (<7 days)
Credential collection form on untrusted domain
Unranked / low reputation domain
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) while skipping any subdomain. The core label 'metatab' covers 7 characters split between three vowels and 4 consonants. Segmentation suggests 2 words: meta, tab. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.80s
Total Load Time
513 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
3216.150.1.129United States
AS16509Amazon.com, Inc.
3104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3216.150.1.65United States
AS16509Amazon.com, Inc.
124--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B413A915FBD1042A752345EDE296B3FC35758087C715CEA5B94C23309FCEB8699A278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UX1P3jNVByiH5ISY6hEuk+WbQGeE80ohiieK:U1YiH5IMhEne2aiieK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45387:UeuJkDpI/4gGgBEmgQMKBAEJmOAUgRUZmolJIDkgUABCIqRGDHwgJAHMM5nBACejABSaIaBgRqFEEyNtti4QBMA1XIKGPAjC

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:#bf406a

Other Hashes

Crop Resistant:9de3c1c9c9d1d1d1

Scan History

Scan history not available

Unable to load historical scan data