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Security Scan Report: sp12ct-zarmik-biz-frondok-halvek.pages.dev

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Submitted: Completed: publiccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/153abd25-5c22-4ab4-89e4-d1fa3e6de185Domain and IP registration (RDAP)/api/v1/rdap/153abd25-5c22-4ab4-89e4-d1fa3e6de185How often this domain was scanned/api/v1/domain/stats/sp12ct-zarmik-biz-frondok-halvek.pages.devScan history for this domain/api/v1/domain/history/sp12ct-zarmik-biz-frondok-halvek.pages.dev?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp12ct-zarmik-biz-frondok-halvek.pages.dev/security/two-factor-authentication

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Analyst-vetted kit roster confirms the Meta 'Page Appeal' credential-phishing kit on a disposable pages.dev subdomain impersonating Meta for Business; cloaking hides the form from scanners. Do not enter any credentials.

Risk Factors (5)
Known credential-phishing kit (Meta 'Page Appeal', family meta-page-appeal) confirmed by analyst-vetted roster
Impersonation of Meta/Facebook brand on a non-Meta domain
Free disposable hosting subdomain (pages.dev) with unknown creation date
Anti-scanner cloaking / conditional content serving
URL path '/security/two-factor-authentication' mimics a legitimate security flow to add credibility
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp12ct-zarmik-biz-frondok-halvek.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp12ct-zarmik-biz-frondok-halvek'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp12ct-zarmik-biz-frondok-halvek.pages.dev/security/two-factor-authentication

Page Load Overview

1.08s
Total Load Time
212 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce63% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce
63%
other
35%
suspicious phishing
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13001FE13CC10D48DA67093AFFD72B17CC94AB90CAAA17C50B8C615DB4BE0BE0CC67856

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+yAVe17BuTG7faKj2a:hR056tC3spXoGa3WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAgBAAAIAAAgAQIAAAAAAAAABAAAAAAAAAQAgAABAAAAAAAAAAAAAAAgAAAQAAAA

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data