Security Scan Report: sp10ct-vurem-biz8-falek-dozin.pages.dev

Redirected to:
https://sp10ct-vurem-biz8-falek-dozin.pages.dev/appeals/submit-appeal-...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp10ct-vurem-biz8-falek-dozin.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp10ct-vurem-biz8-falek-dozin.pages.dev/appeals/submit-appeal-...
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Facebook/Meta 'page appeal' flow on a random pages.dev subdomain, copying Meta branding and footer. No credential form captured on this confirmation step, but the page impersonates Meta and should be treated as a phishing lure.

Risk Factors (5)
Impersonation of Meta/Facebook branding on a non-Meta, unranked domain
Randomized subdomain on free hosting platform (pages.dev) with unknown creation date
Replica Facebook appeal/verification funnel with urgency and account-suspension warnings
Copied Facebook footer and account links to appear authentic
Default create-react-app meta description inconsistent with a real corporate site
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp10ct-vurem-biz8-falek-dozin.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'sp10ct-vurem-biz8-falek-dozin'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp10ct-vurem-biz8-falek-dozin.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan ca1ede55

Page Load Overview

1.11s
Total Load Time
467 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

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:ffe7e7e7efefc3e7
Perceptual Hash:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff42c2c2c6c6c2c7
Color Hash:#d22d9b

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data