Security Scan Report: sf49xz-0fvi1t-93d094-wnj8.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sf49xz-0fvi1t-93d094-wnj8.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Meta 'Page Appeal' portal on a random pages.dev subdomain, cloning Facebook/Meta branding and footer with dead links. This confirmation page is the tail end of a business-account credential phishing funnel — not Meta. Report it.

Risk Factors (5)
Impersonation of Meta/Facebook brand on a non-Meta domain
Random hosting-platform subdomain (pages.dev) inconsistent with the claimed brand
Fake appeal/suspension workflow pressuring the user with deadlines and account-restriction threats
Cloned Meta footer and language selector used as visual legitimacy props with dead '#' links
Default create-react-app meta description revealing an un-branded phishing template
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sf49xz-0fvi1t-93d094-wnj8.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'sf49xz-0fvi1t-93d094-wnj8'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sf49xz-0fvi1t-93d094-wnj8.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 592f60f0

Page Load Overview

1.07s
Total Load Time
470 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
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gefqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:geFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIAAiy58wADXBNIRRRUCgYSIVOuOEAIgQvSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEAABQZuMDBOiEmIoMqA

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:ffc3e7e7efefc3e7
Perceptual Hash:f6668c998c669a39
Difference Hash:2a0e0c4c1c1c8e06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:#3a6778

Other Hashes

Crop Resistant:2a0e0c4c1c1c8e06

Scan History

Scan history not available

Unable to load historical scan data