Security Scan Report: datalb.metajoy.io

Submitted: Jan 12, 2026, 3:49:14 AMCompleted: Jan 12, 2026, 3:50:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is datalb.metajoy.io and was registered NaN years ago.

Submitted URL: https://datalb.metajoy.io

The Cisco Umbrella rank of the primary domain is #432,669 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Content returns a standard 404 error
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

news media journalism

(58%)

Domain Information

The domain name 'datalb.metajoy.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'datalb'. The core label 'metajoy' covers 7 characters holding 3 vowels versus 4 consonants. Segmentation suggests 2 words: meta, joy. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://datalb.metajoy.io

Page Load Overview

11.43s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
Text Length:89 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
healthcare medical
54%
real estate property
50%
government public service
46%
finance banking
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
215.197.217.121United States
AS16509AMAZON-02
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139D09732C272005BAE33ABECCD82775E4F80F20A90320D40BAC4D970CCC292BD803284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96ki8IkwcLKnJpOTSHENdxELa:kxV7HfpZRcAJu7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:75f269eadfbcec7b8c18428a4117cbfc

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:00ffffffffffffff
Perceptual Hash:9c1c1e1e1e1e1e1f
Difference Hash:f000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#bf40a8

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data