Security Scan Report: sp12ct-pravmel-biz-kandor-horsik.pages.dev

Redirected to:
https://sp12ct-pravmel-biz-kandor-horsik.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp12ct-pravmel-biz-kandor-horsik.pages.dev/send_appeal_request

Effective URL:
https://sp12ct-pravmel-biz-kandor-horsik.pages.dev/send_appeal_request
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta account-appeal page on a random pages.dev subdomain using suspension threats and a 48-hour deadline to funnel users toward submitting an appeal code. Brand impersonation; avoid and report.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Artificial urgency and account-termination threats (48-hour deadline)
'Submit Appeal' call to action designed to move victims into an off-page credential/code submission step
Random, machine-generated subdomain on a free hosting platform with no verifiable ownership
Client fingerprinting via external IP lookup service
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp12ct-pravmel-biz-kandor-horsik.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'sp12ct-pravmel-biz-kandor-horsik'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Splitting it apart reveals one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp12ct-pravmel-biz-kandor-horsik.pages.dev/send_appeal_request

Another page of the site in scan 65e364e5

Page Load Overview

1.90s
Total Load Time
220 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,362 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
2172.66.47.203Cloudflare · 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.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.53Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10462F5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQ9tiW9Y:gthS1MqDfDJCVdpMqnru8OhwU3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQCMJAQsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:9f8fe3fff3e3efe3
Perceptual Hash:e4983823c79367c7
Difference Hash:3a362eacc6cec8cf
Wavelet Hash:0f038383f7e1e6e1
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data