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Security Scan Report: sp26ct-lunor-biz-vameq-zotek.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/8b3eb77f-3f03-4b30-8f1a-0debe59f9922Domain and IP registration (RDAP)/api/v1/rdap/8b3eb77f-3f03-4b30-8f1a-0debe59f9922How often this domain was scanned/api/v1/domain/stats/sp26ct-lunor-biz-vameq-zotek.pages.devScan history for this domain/api/v1/domain/history/sp26ct-lunor-biz-vameq-zotek.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://sp26ct-lunor-biz-vameq-zotek.pages.dev/security/two-factor-authentication

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable pages.dev host, impersonating Meta for Business; zero forms here reflects the kit's cloaking mode. Avoid and report.

Risk Factors (5)
Known malicious phishing kit 'Meta Page Appeal' (family meta-page-appeal) matched twice: renamed AST-identical script and byte-identical bundle fingerprint
Impersonation of Meta/Facebook's Business 'Page Appeal' process on a non-Meta domain
Anti-analysis/cloaking behaviour documented for this kit family (scanner-conditional redirect to the genuine facebook.com or blank decoy)
Page served from a disposable pages.dev subdomain whose true creation date is unknown
No domain reputation (unranked in Cisco Umbrella) despite claiming a major global brand
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp26ct-lunor-biz-vameq-zotek.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp26ct-lunor-biz-vameq-zotek'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp26ct-lunor-biz-vameq-zotek.pages.dev/security/two-factor-authentication

Another page of the site in scan dde5c22b

Page Load Overview

0.83s
Total Load Time
214 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

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
corporate business
45%
social media network
35%
documentation technical
28%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.222Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52--

Detected Technologies4

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
React
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135017053CC10D44DA670937FBD72B02CC54AB908AA91BC54B8C614EB4AD4BA28C56D15

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:qTE0sF56ME26Vx1WWpIaGuaXiMIai/CrC+yAVe17BuTG7faKj2a:0E0sr6FRTBpIaGaM2WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:715:AAAAIAAEABCAAAAAAAAAAAAAAAgAAkAAAAAAAAAAgAAAAAAAAAAAEAAAAAAIABAEAAAAAAAAAAAAAEAACAAgAAAAAAAAAAAA

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