Security Scan Report: zavqelo-mpt-fenqari-r5x9pe84.pages.dev

Redirected to:
https://zavqelo-mpt-fenqari-r5x9pe84.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://zavqelo-mpt-fenqari-r5x9pe84.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://zavqelo-mpt-fenqari-r5x9pe84.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Meta/Facebook business appeal page on a random pages.dev subdomain. No credential form on this capture, but the branded impersonation and appeal flow are deceptive and should be avoided.

Risk Factors (5)
Brand impersonation of Meta/Facebook on a non-official domain
Hosted on a randomly named pages.dev subdomain with unknown actual creation date
Unranked domain with no legitimate reputation
Uses Meta/Facebook visual branding and footer links without legitimate affiliation
Create-react-app default meta description inconsistent with an official Meta support page
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'zavqelo-mpt-fenqari-r5x9pe84.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'zavqelo-mpt-fenqari-r5x9pe84'. Its registrable label 'pages' stretches across 5 characters split between 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://zavqelo-mpt-fenqari-r5x9pe84.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 4e2c30e3

Page Load Overview

1.41s
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
3172.66.47.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.44.197Cloudflare · 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

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:b6269c998c669b39
Difference Hash:2a8e8ecc9c9c8c06
Wavelet Hash:dfc2c2c2c6c6c2c7
Color Hash:#8479d2

Other Hashes

Crop Resistant:2a8e8ecc9c9c8c06

Scan History

Scan history not available

Unable to load historical scan data