Security Scan Report: sp30ct10-rumrako-biz-zumeni.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp30ct10-rumrako-biz-zumeni.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Meta 'Page Appeal' phishing kit hosted on a disposable pages.dev subdomain, impersonating Meta with 48-hour account-closure threats. Analyst-vetted kit roster confirms it — do not submit any appeal code or credentials.

Risk Factors (5)
Known malicious phishing kit identified by analyst-vetted roster (meta-page-appeal), two HIGH-confidence sightings
Brand impersonation of Meta on a domain that is not meta.com/facebook.com
Urgency/threat language ('48 Hours Remaining', 'permanently disabled') pressuring victims to act
Disposable Cloudflare Pages subdomain with no reputation; page age effectively unknown
Anti-analysis cloaking documented for this kit family (scanner IPs redirected to the genuine Facebook site)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp30ct10-rumrako-biz-zumeni.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp30ct10-rumrako-biz-zumeni'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and 3 consonants. Splitting it apart reveals 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp30ct10-rumrako-biz-zumeni.pages.dev/send_appeal_request

Another page of the site in scan ef6f0b0f

Page Load Overview

2.10s
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
4172.66.46.230Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.45.26Cloudflare · 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.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F762E5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQ9tiW9Y:gthS1MqDfDJCVdpMqnru8Ohwo3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JcQCMJAAsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:#79a4d2

Scan History

Scan history not available

Unable to load historical scan data