Security Scan Report: sp31ct-tavaro-biz-nelzi-kumep.pages.dev

Redirected to:
https://sp31ct-tavaro-biz-nelzi-kumep.pages.dev/send_appeal_request
Site favicon
Submitted: Sep 23, 2026, 12:45:41 PMCompleted: Sep 23, 2026, 12:47:11 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 16 HTTP transactions. The main domain is sp31ct-tavaro-biz-nelzi-kumep.pages.dev and was registered 19 years ago.

Submitted URL: https://sp31ct-tavaro-biz-nelzi-kumep.pages.dev/rtyu-iopj-qewr-thjm?welcome=799610033244874&idnp=799610033244874&name_idnp=Cyber6

Effective URL:

https://sp31ct-tavaro-biz-nelzi-kumep.pages.dev/send_appeal_request
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Meta 'Security Center' page on a pages.dev subdomain using false account-suspension threats and an appeal-code funnel to impersonate Meta. Brand impersonation drives HIGH_RISK.

Risk Factors (4)
Brand impersonation of Meta on a mismatched, unranked pages.dev subdomain
Urgent fabricated account-suspension/48-hour deadline pressure to force action
Phishing-appeal funnel ('Submit Appeal' → /send_appeal_request) soliciting an 'appeal code' as an entry vector for victim data
No legitimate affiliation or legal identity tying the site to Meta
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'sp31ct-tavaro-biz-nelzi-kumep.pages.dev' is registered and includes subdomain 'sp31ct-tavaro-biz-nelzi-kumep'. The registrable portion 'pages' spans 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp31ct-tavaro-biz-nelzi-kumep.pages.dev/rtyu-iopj-qewr-thjm?welcome=799610033244874&idnp=799610033244874&name_idnp=Cyber6

Page Load Overview

2.61s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,390 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.44.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
257.144.244.128Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
166--

Detected Technologies3

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:e3f3fffff0f0f0f0
Perceptual Hash:ecb96564b1b36249
Difference Hash:0307033024242424
Wavelet Hash:c1c1e1fff0f0d0d0
Color Hash:#40bf62

Other Hashes

Crop Resistant:0307033024242424

Scan History

Scan history not available

Unable to load historical scan data