Security Scan Report: marnavi-kxt-belfavi-c5x9dw32.pages.dev

Redirected to:
https://marnavi-kxt-belfavi-c5x9dw32.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://marnavi-kxt-belfavi-c5x9dw32.pages.dev/send_appeal_request

Effective URL:
https://marnavi-kxt-belfavi-c5x9dw32.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Disposable pages.dev site impersonates Meta with a fake Page Appeal suspension threat; two analyst-vetted 'Meta Page Appeal' phishing-kit cohorts matched. Avoid and report.

Risk Factors (5)
Brand impersonation of Meta on a mismatched domain
Known malicious phishing kit family identified by analyst-vetted roster
Urgent account-suspension scare tactic with a 48-hour deadline
Disposable pages.dev subdomain with no legitimate relationship to Meta
Use of external IP lookup infrastructure consistent with scanner/cloaking evasion
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'marnavi-kxt-belfavi-c5x9dw32.pages.dev' is registered, featuring subdomain 'marnavi-kxt-belfavi-c5x9dw32'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://marnavi-kxt-belfavi-c5x9dw32.pages.dev/send_appeal_request

Another page of the site in scan e81e2969

Page Load Overview

0.88s
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
51%
documentation technical
48%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.46.243Cloudflare · 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.
1172.66.45.13Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.70.233Cloudflare · 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

T1D9A21AB065B8236E569783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gAoS10lNvEiVDJVAFZnuyr17xpS/BHYO86tM7U/+ATcf2W++TaDv:gAmlNvEiVDTmuy57xpS/ZYnIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:yYAE5gBIlij+WahmDJHoglkCAmoKAUEghLGFSgpvPVCKKoIBkAICABpQBCl0wYCBAAARgQ6CJJ4ACYgBkCzAXKMQ3lhekQWT

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:c7c3dfdfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:2e062c2c0e4ccc4e
Wavelet Hash:0e82838787e3e7e3
Color Hash:#8479d2

Other Hashes

Crop Resistant:2e062c2c0e4ccc4e

Scan History

Scan history not available

Unable to load historical scan data