Security Scan Report: sp14ct-turex-biz-golvin-rastek.pages.dev

Redirected to:
https://sp14ct-turex-biz-golvin-rastek.pages.dev/appeals/submit-appeal...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp14ct-turex-biz-golvin-rastek.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp14ct-turex-biz-golvin-rastek.pages.dev/appeals/submit-appeal...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Confirmed Meta 'Page Appeal' credential-phishing kit hosted on a disposable pages.dev subdomain. Brand impersonation + analyst-vetted kit match; do not enter any Facebook/Meta credentials or appeal details here.

Risk Factors (5)
Confirmed malicious phishing kit match (two independent kit-roster cohorts)
Meta brand impersonation on a non-Meta, unranked domain
Disposable shared hosting subdomain (pages.dev) with unknown real creation date
Fear/urgency language about account restrictions and appeal suspension
Cross-origin script contact to get.geojs.io observed alongside kit infrastructure
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), 'sp14ct-turex-biz-golvin-rastek.pages.dev' is registered with subdomain 'sp14ct-turex-biz-golvin-rastek'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp14ct-turex-biz-golvin-rastek.pages.dev/appeals/submit-appeal-form/return

Page Load Overview

1.21s
Total Load Time
467 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.214Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A02719ACEA0567BEEC386DFB161BF6DB2CB149BD143A944B0F811C1C381F548D18536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:MtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8436:bCUJVERTwEHCYDIAAIhQoBCAyCWJRoIAkYi3LCIJAQM5kzKFCQmCmG8IFBlIBNccjOYjwMCLZNhqMKiIJ4DGhMBkBlEQsUAj

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:ff42c2c2c6c6c2c7
Color Hash:#931f25

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data