Security Scan Report: xurqavo-mpt-zelqani-k7x4pe95.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 6 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://xurqavo-mpt-zelqani-k7x4pe95.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Meta 'Page Appeal' phishing kit on a disposable pages.dev host: Safe Browsing Social Engineering hit plus two analyst-vetted phishing-kit matches impersonating Meta with a fake 48-hour account-suspension appeal. Do not interact.

Risk Factors (5)
Analyst-vetted known phishing kit (Meta Page Appeal) present in two cohort variants
Google Safe Browsing Social Engineering detection
Brand impersonation of Meta on a domain that is not Meta's official domain
Scarcity/urgency social-engineering copy with fabricated case ID and enforcement deadline
Disposable shared hosting subdomain (pages.dev) with no attributable registration age, designed for rapid abuse churn and scanner cloaking
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'xurqavo-mpt-zelqani-k7x4pe95.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'xurqavo-mpt-zelqani-k7x4pe95'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Word splitting yields 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xurqavo-mpt-zelqani-k7x4pe95.pages.dev/send_appeal_request

Page Load Overview

0.41s
Total Load Time
224 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,631 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network84% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
84%
technology software
53%
adult content
51%
documentation technical
50%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.96.9Cloudflare · 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.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDA21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:MAoS10lNvEiVDJVAFZnuyr17brpS/BHYO86tM7A/+ATcf2W++TaDv:MAmlNvEiVDTmuy57brpS/ZYHIcf2W+++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22086:gy8cUFjOEyB4hVAhkIjOGEGQCEHFF6LoIYHmBjENOlIdCAkNFgACAVtCTAhChgCGAtgj1y/AUAHcICG0jDdB8EKhQiQyCBGK

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:87c3dfdfefe7ffe3
Perceptual Hash:a76d6593989a9a98
Difference Hash:2a062c3d0fcd4c4e
Wavelet Hash:0f03070f0f63e7e3
Color Hash:#b0d279

Other Hashes

Crop Resistant:2a062c3d0fcd4c4e

Scan History

Scan history not available

Unable to load historical scan data