Security Scan Report: sp28ct-gunem-biz-zorel-ranek.pages.dev

Redirected to:
https://sp28ct-gunem-biz-zorel-ranek.pages.dev/appeals/submit-appeal-f...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 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://sp28ct-gunem-biz-zorel-ranek.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp28ct-gunem-biz-zorel-ranek.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 86%

8
Risk Score

Fake 'Meta for Business | Page Appeal' confirmation page on a random pages.dev subdomain, cloning Facebook branding and footer. Not an official Meta property; part of an appeal-phishing funnel. Do not enter credentials or reference codes.

Risk Factors (5)
Impersonation of a different entity's brand (Meta/Facebook) on a domain that is not the brand's official domain
Deceptive, random-looking third-level subdomain on a shared pages.dev hosting namespace
Cloned Facebook navigation/footer used to lend false authenticity to an 'appeal' workflow
Default create-react-app metadata inconsistent with an official Meta web property
Page sits at the 'return' step of an appeal-submission funnel, implying a preceding data-collection step
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp28ct-gunem-biz-zorel-ranek.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp28ct-gunem-biz-zorel-ranek'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp28ct-gunem-biz-zorel-ranek.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan c022e224

Page Load Overview

0.70s
Total Load Time
466 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
3172.66.47.136Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.44.120Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
93--

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:#8479d2

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data