Security Scan Report: venfuro-mpt-zanqeli-p7d5ka84.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://venfuro-mpt-zanqeli-p7d5ka84.pages.dev/

Effective URL:
https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Anonymous pages.dev shell titled 'Meta for Business | Page Appeal' showing Meta/Facebook branding with an email+password login form on a non-official, unranked domain — consistent with a page-appeal credential-phishing lure.

Risk Factors (5)
Brand impersonation of a different entity (Meta/Facebook business surface) on a non-official, unranked domain
Credential (email + password) login form hosted on an anonymous throwaway pages.dev subdomain
Gibberish auto-generated subdomain name typical of bulk phishing deployment
Bot-protection/datacenter-IP block that hides the real page from automated scanners
Cross-origin form action combined with off-brand title/content
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'venfuro-mpt-zanqeli-p7d5ka84.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'venfuro-mpt-zanqeli-p7d5ka84'. Count 5 characters in 'pages' split between 2 vowels and three consonants. It segments into 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://venfuro-mpt-zanqeli-p7d5ka84.pages.dev/

Page Load Overview

2.41s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,012 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network44% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.47.123Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6172.66.44.133Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
427--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176019E13CC21D48DA270A3ABFD72B17CC989B90DAAA17C50B4D615DB4AE4BE0CC67952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+fivVe1BtTG7faKj2a:hR056tC3spXoGa3WC+6vVqfC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAABAACAAAABAAAIAAAgAQIAAAAAABAABAAABAAAAAAAgAAAAAAAAAAAAAAAAAAgAAAQAAAA

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f000000000
Color Hash:#ac8053

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data