Security Scan Report: sp28ct-vunor-biz-qalem-zirek.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 5 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp28ct-vunor-biz-qalem-zirek.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Analyst-vetted phishing kit impersonating Meta's 'Page Appeal' process on a disposable pages.dev subdomain, using account-suspension urgency and anti-scanner cloaking; do not enter any appeal code or credentials.

Risk Factors (6)
Known malicious phishing kit matched by analyst-vetted roster (meta-page-appeal family) with two independent cohort sightings
Brand impersonation of Meta on an unrelated, unranked pages.dev subdomain
Cloaking/anti-analysis behavior attributed to the kit (datacenter IP redirect, decoy shells)
Urgency and account-loss threats designed to pressure the victim into submitting an 'appeal code'
Disposable shared hosting with an unknown creation date for the actual subdomain
External calls to graph.facebook.com and static.xx.fbcdn.net used to make the lure look authentic
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp28ct-vunor-biz-qalem-zirek.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sp28ct-vunor-biz-qalem-zirek'. Count 5 characters in 'pages' holding two vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp28ct-vunor-biz-qalem-zirek.pages.dev/send_appeal_request

Another page of the site in scan c1618d26

Page Load Overview

2.43s
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
5188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
95--

Detected Technologies4

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:#8479d2

Scan History

Scan history not available

Unable to load historical scan data