Security Scan Report: sp5ct-lurem-biz8-savik-foren.pages.dev

Redirected to:
https://sp5ct-lurem-biz8-savik-foren.pages.dev/appeals/submit-appeal-f...
Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

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Submitted: Jul 26, 2026, 4:45:34 PMCompleted: Jul 26, 2026, 4:48:48 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is sp5ct-lurem-biz8-savik-foren.pages.dev and was registered 5 years ago.

Submitted URL: http://sp5ct-lurem-biz8-savik-foren.pages.dev/appeals/submit-appeal-form/return

Effective URL: https://sp5ct-lurem-biz8-savik-foren.pages.dev/appeals/submit-appeal-form/returnRedirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The page impersonates Meta without collecting credentials; moderate risk due to brand mismatch and unknown subdomain age.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on hosting platform
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

You're looking at domain 'sp5ct-lurem-biz8-savik-foren.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'sp5ct-lurem-biz8-savik-foren'. The registrable portion 'pages' spans 5 characters with two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of get.geojs.io

Page Load Overview

0.89s
Total Load Time
9
HTTP Requests
4
Domains
249 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
35%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.47.84Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
91--

Page Statistics

9
Requests
2
Unique Domains
466.6 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

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:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff4242c2c6c6c2e7
Color Hash:#86702d

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data