Security Scan Report: vormita-rpx-larquni-c5x2dk64.pages.dev

Redirected to:
https://vormita-rpx-larquni-c5x2dk64.pages.dev/appeals/submit-appeal-f...
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://vormita-rpx-larquni-c5x2dk64.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://vormita-rpx-larquni-c5x2dk64.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Page impersonates Meta's business appeal system on a pages.dev subdomain, replicating Facebook/Meta branding and links. It is a phishing lure; do not interact or share information.

Risk Factors (5)
Brand impersonation of Meta/Facebook on a non-Meta domain
Fake appeal confirmation flow designed to mimic a legitimate Meta support process
Random, unmemorable subdomain on a shared hosting platform (pages.dev) with no legitimate connection to Meta
Replicated Meta/Facebook footer links and language selector to appear authentic
Uses geolocation service (get.geojs.io) often seen in phishing kits for tracking or targeting
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'vormita-rpx-larquni-c5x2dk64.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'vormita-rpx-larquni-c5x2dk64'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://vormita-rpx-larquni-c5x2dk64.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 66634c9f

Page Load Overview

3.93s
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
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA027F9ACFA0567BEED386DFB161BF6DB2CB149BC102A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gAfqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gAFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIgAiy58wADXBNIRRRUCgYSIVOuOEAIgQuSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEQABQZuMDBOiEmIosqA

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:f6668c998c669a39
Difference Hash:2a0c0c4c1c1c8e06
Wavelet Hash:ffc2c2c2c6c4c2c7
Color Hash:#40bf82

Other Hashes

Crop Resistant:2a0c0c4c1c1c8e06

Scan History

Scan history not available

Unable to load historical scan data