Security Scan Report: sp26ct10-melvuno-biz-kazati.pages.dev

Redirected to:
https://sp26ct10-melvuno-biz-kazati.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://sp26ct10-melvuno-biz-kazati.pages.dev/send_appeal_request

Effective URL:
https://sp26ct10-melvuno-biz-kazati.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit: a fake Meta for Business appeal page on a disposable pages.dev host using account-suspension threats to harvest an appeal/verification code. Do not interact.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Known malicious phishing kit identified by name (meta-page-appeal family, two cohorts)
Urgency and account-loss threats used to force compliance within 48 hours
Lure solicits an 'appeal code' from the victim
Hosted on free disposable pages.dev subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp26ct10-melvuno-biz-kazati.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp26ct10-melvuno-biz-kazati'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp26ct10-melvuno-biz-kazati.pages.dev/send_appeal_request

Another page of the site in scan cff1d6c0

Page Load Overview

0.65s
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
2172.66.44.103Cloudflare · 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.
2172.66.47.153Cloudflare · 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:#40bf82

Scan History

Scan history not available

Unable to load historical scan data