Security Scan Report: sp29ct-ravun-biz-melti-zokra.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 4 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://sp29ct-ravun-biz-melti-zokra.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Meta/Facebook 'Page Appeal' support on an unrelated pages.dev subdomain with replicated Meta branding and coercive reference-code warnings. No form on this step, but it is a phishing-funnel confirmation page — treat the whole flow as fraudulent.

Risk Factors (5)
Brand impersonation of Meta/Facebook on a domain that is not meta.com or facebook.com
Impersonation of Meta's official appeal/support workflow, including replicated Meta/Instagram/Threads footer navigation
Coercive 'official' warning language about reference codes and account restrictions
Free instant-publish hosting subdomain (pages.dev) with unknown creation date and no domain reputation
Anti-fraud/genuine-brand metadata absent — meta description is a default create-react-app string, inconsistent with a Meta property
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp29ct-ravun-biz-melti-zokra.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp29ct-ravun-biz-melti-zokra'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp29ct-ravun-biz-melti-zokra.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan c1813aea

Page Load Overview

0.54s
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
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies4

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:#1f5393

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data