Security Scan Report: xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev

Redirected to:
https://xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev/send_appeal_request

Effective URL:
https://xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Confirmed Meta Page Appeal phishing kit on a disposable pages.dev host, impersonating Meta with fake suspension threats and an appeal lure.

Risk Factors (5)
Known Meta 'Page Appeal' phishing kit identified in two independent kit-roster matches.
Brand impersonation of Meta on an unrelated pages.dev domain.
Urgent account-suspension and appeal threat designed to induce panic.
Deceptive use of Meta Business Suite, Privacy Center, and Trust & Safety styling.
Disposable shared-hosting subdomain with unknown creation date.
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'xernavi-kxt-qorqumi-r4t7fc18-alu'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://xernavi-kxt-qorqumi-r4t7fc18-alu.pages.dev/send_appeal_request

Another page of the site in scan c3ac40f2

Page Load Overview

1.96s
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:3,634 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network85% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
85%
adult content
54%
technology software
52%
documentation technical
49%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.46.221Cloudflare · 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.
1172.66.45.35Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5A21AB065B8236E569783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gAoS10lNvEiVDJVAFZnuyr17mpS/BHYO86tM7R/+ATcf2W++TaDv:gAmlNvEiVDTmuy57mpS/ZYuIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:waABxwFqtXjXaOWlABHRuxAyIABLIIJPzAgDchqggFaQCiakAuAAaBIWJCqSxYCEBAITIQqCdsdBA44DVDroimDK2kEak3UJ

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:c3c3d7dfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:2e062c2c0e4c4c4e
Wavelet Hash:8ec28286c3e3e7e3
Color Hash:#8c40bf

Other Hashes

Crop Resistant:2e062c2c0e4c4c4e

Scan History

Scan history not available

Unable to load historical scan data