Security Scan Report: sp31ct-zavaro-biz-kelni-vurak.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Sep 19, 2026, 3:44:38 AMCompleted: Sep 19, 2026, 3:44:58 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 36 HTTP transactions. The main domain is facebook.com and was registered 22 years ago.

Submitted URL: https://sp31ct-zavaro-biz-kelni-vurak.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Unranked random pages.dev subdomain serving Meta-branded 'Page Appeal' content with a login form, but the form and redirect go to the official facebook.com via a legitimate SSO flow with no exfiltration, IoC or malware.

Risk Factors (4)
Randomized subdomain on a free pages.dev hosting platform — content creation date cannot be verified
Meta/Facebook–branded 'Page Appeal' content served from a domain unrelated to Meta
Login form capturing email and password
Scanner-vs-residential-client content mismatch (bot protection bypassed) — weighed only alongside the content signals above
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp31ct-zavaro-biz-kelni-vurak.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sp31ct-zavaro-biz-kelni-vurak'. The registrable portion 'pages' spans 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp31ct-zavaro-biz-kelni-vurak.pages.dev/

Page Load Overview

0.62s
Total Load Time
2.3 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: spa
Method: ml+structural

All Detected Categories

social media network
46%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.26.1.100Cloudflare · 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.
366--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13001FE13CC10D48DA67093AFFD72B17CC94AB90CAAA17C50B8C615DB4BE0BE0CC67856

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+yAVe17BuTG7faKj2a:hR056tC3spXoGa3WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAgBAAAIAAAgAQIAAAAAAAAABAAAAAAAAAQAgAABAAAAAAAAAAAAAAAgAAAQAAAA

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:8adb25267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#2d6786

Scan History

Scan history not available

Unable to load historical scan data