Security Scan Report: sp1ct10-dorval-biz-zulzo-pelri.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://sp1ct10-dorval-biz-zulzo-pelri.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Random pages.dev link redirects to the official facebook.com 'Meta for Business | Page Appeal' page; login posts to Facebook with no exfiltration or threat-intel hits, but the unknown-age entry subdomain and page-appeal lure warrant caution.

Risk Factors (3)
Entry point is a random-generated subdomain on a free instant-hosting platform (pages.dev) whose actual creation date is unknown.
A Facebook/Meta-branded 'Page Appeal' login flow is reached via an unrelated, non-Meta pages.dev link.
A login form (email + password) is present, which is the shape abused by page-appeal phishing lures even though here it submits to facebook.com.
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'sp1ct10-dorval-biz-zulzo-pelri.pages.dev' is registered with subdomain 'sp1ct10-dorval-biz-zulzo-pelri'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp1ct10-dorval-biz-zulzo-pelri.pages.dev/

Page Load Overview

0.41s
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: webapp
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.45.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.26.1.100Cloudflare · 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.
6172.66.46.253Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.70.233Cloudflare · 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

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#77862d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data