Security Scan Report: meta-joril-frexa-vyno.pages.dev

Submitted: Nov 16, 2025, 8:24:33 PMCompleted: Nov 16, 2025, 8:25:59 PMpubliccompleted
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Summary

This website contacted 11 IPs in 0 countries across 3 domains to perform 6 HTTP transactions. The main domain is meta-joril-frexa-vyno.pages.dev.

Submitted URL: https://meta-joril-frexa-vyno.pages.dev/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

High‑risk phishing site impersonating Meta on an unranked pages.dev domain.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Unranked domain used to mimic a well‑known service (Meta)
Lack of legitimate content or verification
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Domain 'meta-joril-frexa-vyno.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'meta-joril-frexa-vyno'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three consonants. Tokenizing the label suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meta-joril-frexa-vyno.pages.dev/

Page Load Overview

37.12s
Total Load Time
6
HTTP Requests
3
Domains
N/A
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:78 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
corporate business
45%
social media network
35%
documentation technical
28%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0104.26.1.100UnknownUnknown
0172.66.47.115UnknownUnknown
0172.66.44.141UnknownUnknown
0109.169.71.112UnknownUnknown
02606:4700:20::ac43:46e9UnknownUnknown
02606:4700:20::681a:64UnknownUnknown
0104.26.0.100UnknownUnknown
0172.67.70.233UnknownUnknown
02606:4700:310c::ac42:2f73UnknownUnknown
02606:4700:20::681a:164UnknownUnknown
611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF1114238C11C08D53B3529BEDB2F15CC548BC0DE6626C50B1ED55D64FD0BEC8A23401

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n056tC3spXoGa3WC+NVqFGC75j21tMUJUwLVI:n3kspX++CFGC7R21tpTy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:947:AAAAIEAAgAAAAAQAAAFAAAAiAAIEIAEAAAAQACAIIIAAAECAAAAACAAAAABAAAAAABAAAAAAAAAAAECAAAAAAAAIAAAAgAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#86582d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data