Security Scan Report: y2meta.mobi

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Submitted: Oct 31, 2025, 8:50:04 AMCompleted: Oct 31, 2025, 8:50:37 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 29 HTTP transactions. The main domain is y2meta.mobi and was registered NaN years ago.

Submitted URL: https://y2meta.mobi/en167/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Y2meta - YouTube Downloader | Download YouTube Video Free

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(54%)

Domain Information

You're looking at domain 'y2meta.mobi' on the .mobi top-level domain and has no subdomain. Its registrable label 'y2meta' stretches across 6 characters with two vowels and 3 consonants, plus one digit. Splitting it apart reveals 3 words: y, 2, meta. Median word length comes out to one character. Most frequently, 'y' shows up in Spanish. Usage also turns up in French and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://y2meta.mobi/en167/

Page Load Overview

15.85s
Total Load Time
29
HTTP Requests
2
Domains
175 KB
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:4,143 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
54%
documentation technical
51%
social media network
46%
technology software
44%
education learning
43%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.97.3United States
AS13335CLOUDFLARENET
5188.114.96.3United States
AS13335CLOUDFLARENET
5159.65.117.110Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
52a06:98c1:3121::3United States
AS13335CLOUDFLARENET
52a06:98c1:3120::3United States
AS13335CLOUDFLARENET
295--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130832AB69564043728ABC3E9B5B17FECA812A087DF6345F9712732D457C6BF0091E88B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8VHP7td7Mo/HqQrOt7yn/2MRNYDtakiMRNmjtakIFI3ziujx:8VHPj7Z/HwS46x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80869:KsCAgAGFF5R5CQcAmGB2AFDBGAxEhEdgAADhABgqiR3ilDEIgECtBAIAlFAICI8WTCoQCGdGl0QREUUACCYoYxJKADhB/BAk

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:dfe3f3e7c3c3c3c3
Perceptual Hash:f4c79c381a9a9c6c
Difference Hash:a844460e96968696
Wavelet Hash:d6c2e2c3c3c3c3c3
Color Hash:#693a78

Other Hashes

Crop Resistant:a844460e96968696

Scan History

Scan history not available

Unable to load historical scan data