Security Scan Report: business-badge-vip-134523562123cscv.pages.dev

Redirected to:
https://business-badge-vip-134523562123cscv.pages.dev/privacy-centers
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Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 10 domains to perform 28 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://business-badge-vip-134523562123cscv.pages.dev/appeals/submit-appeal-form/return/

Effective URL:
https://business-badge-vip-134523562123cscv.pages.dev/privacy-centers
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AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Known 'Meta Verified rewards' phishing kit fingerprint on a throwaway pages.dev tenant impersonating Meta. Do not enter any data or follow the verification/badge solicitation.

Risk Factors (5)
Analyst-vetted known phishing kit fingerprint (Meta Verified 'rewards', utils.js exfiltration script)
Impersonation of Meta/Facebook's brand on a domain it does not own
Randomised throwaway subdomain on a shared hosting platform with unknown creation date
Unranked domain used to mimic a major brand
Multi-step redirect chain with unrelated appeals/return paths
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain 'business-badge-vip-134523562123cscv.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'business-badge-vip-134523562123cscv'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Splitting it apart reveals 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://business-badge-vip-134523562123cscv.pages.dev/appeals/submit-appeal-form/return/

Page Load Overview

0.71s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:503 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
81%
news media journalism
54%
government public service
52%
blog personal website
51%
adult content
49%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.47.147Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.138Google · CDNUnited States
AS15169Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
2142.251.14.100Google · CDNUnited States
AS15169Google LLC
2172.66.44.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B6219276634012A9E47C8D2E8F1BA497596E3C7C32EDDF4FBDC14127FCA9A208D5218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:uh6SCyU78sU7JXeS7JXex/27x4AnjRDUbYOBAKOLKzfhgEQdExNUbSPzxTy:uOuhL7XnjRDUbYOoUfhyUaO7Ry

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15657:JAJzhgckASBp0ByJEKQoRAQJ7ACjDoyAsEHCiQkKZBcRBoG9KYCQkkzTKKywdAnGSJiKA5SRCggN9g4N2IwA0iBoGBBIEZiA

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:f0f0f0f0f0f0f0f0
Perceptual Hash:eea5634a64b46c8e
Difference Hash:2703662625210525
Wavelet Hash:f0f0f0f0f0f0f0f0
Color Hash:#40b0bf

Scan History

Scan history not available

Unable to load historical scan data