Security Scan Report: vormuni-mpt-zanqavi-a4x7ka51.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://vormuni-mpt-zanqavi-a4x7ka51.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta 'Page Appeal' confirmation page on a random pages.dev subdomain, copying Facebook branding and links. No form on this page, but it is the return step of a Meta account-appeal credential-phishing flow — not a Meta site.

Risk Factors (5)
Impersonation of Meta/Facebook brand on a non-Meta domain
Free instant-hosting subdomain (pages.dev) with unknown creation date used to front a 'support appeal' flow
Appeal/account-restriction theme designed to funnel users into submitting account details
Redirects users to re-submit an appeal, pointing back into the harvesting flow
Copied Facebook navigation/footer links are inert (#) placeholders
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'vormuni-mpt-zanqavi-a4x7ka51.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'vormuni-mpt-zanqavi-a4x7ka51'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vormuni-mpt-zanqavi-a4x7ka51.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 4099a671

Page Load Overview

0.85s
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
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · 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

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:2a8c0c4c1c1c8e06
Wavelet Hash:ffc2c2c2c6c4c2c7
Color Hash:#763a78

Other Hashes

Crop Resistant:2a8c0c4c1c1c8e06

Scan History

Scan history not available

Unable to load historical scan data