Security Scan Report: gfvcd5c12pl-klmqwuhy-4c7d8e-yh511a.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 23, 2026, 12:45:01 AMCompleted: Sep 23, 2026, 12:45:37 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 41 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: http://gfvcd5c12pl-klmqwuhy-4c7d8e-yh511a.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Unranked pages.dev subdomain presenting a 'Meta for Business | Page Appeal' page with a Facebook-style login form — brand impersonation plus credential collection typical of a Facebook phishing lure. No IoC/YARA, but do not enter credentials.

Risk Factors (5)
Meta/Facebook brand impersonation on a non-Meta, unranked domain
Credential collection form (email + password) under a phishing pretext
Random, unknown-age shared-hosting subdomain (pages.dev)
Bot-protection / scanner-vs-client content mismatch used to hide the real page
Page promotes an urgent-sounding 'Page Appeal' action directing users to log in
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'gfvcd5c12pl-klmqwuhy-4c7d8e-yh511a.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'gfvcd5c12pl-klmqwuhy-4c7d8e-yh511a'. Count 5 characters in 'pages' with two vowels and three consonants. It segments into one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://gfvcd5c12pl-klmqwuhy-4c7d8e-yh511a.pages.dev/

Page Load Overview

0.37s
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 network46% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
46%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.44.244Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.66.47.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
416--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D01FE13CC10D48DE77093ABFD72B17CC94AB90DAAA17C60B4CA15DB4AE0BE0CC67855

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+u0Ve17BuTG7faKj2a:hR056tC3spXoGa3WC+u0VqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAABAABIAAAgAQIAAAAAAAAABAAAAAAAAAAIgAAAAAAAAAAAAAAAAAAgAAAQAAAA

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:003c3c3c3c3c3800
Perceptual Hash:8a9b25e67164bc99
Difference Hash:8d69317979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#4e783a

Scan History

Scan history not available

Unable to load historical scan data