Security Scan Report: marfeli-mpt-quzvano-k5x7pe83.pages.dev

Redirected to:
https://marfeli-mpt-quzvano-k5x7pe83.pages.dev/appeals/submit-appeal-f...
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://marfeli-mpt-quzvano-k5x7pe83.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://marfeli-mpt-quzvano-k5x7pe83.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain, matching two analyst-vetted kit fingerprints and a phishing threat-intel report; the confirmation page is part of a credential-harvesting appeal lure.

Risk Factors (6)
Known malicious phishing kit identified by analyst-vetted roster (two cohorts of the same Meta Page Appeal family)
Brand impersonation of Meta/Facebook on an unrelated pages.dev hostname
Disposable/randomly-named free hosting subdomain with unknown page age
Domain unranked in Cisco Umbrella despite claiming a major brand
Page text pressures victims to keep a 'reference code' secret and threatens immediate suspension — classic phishing containment language
Single-source phishing threat-intel match on the primary domain
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), 'marfeli-mpt-quzvano-k5x7pe83.pages.dev' is registered and includes subdomain 'marfeli-mpt-quzvano-k5x7pe83'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Breaking it apart gives one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://marfeli-mpt-quzvano-k5x7pe83.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 22a2f1de

Page Load Overview

0.46s
Total Load Time
470 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.26Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.230Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA027F9ACFA0567BEED386DFB161BF6DB2CB149BC102A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gAfqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gAFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIgAiy58wADXBNIRRRUCgYSIVOuOEAIgQuSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEQABQZuMDBOiEmIosqA

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:ffc7e7e7efefc3e7
Perceptual Hash:b626cc999c669a39
Difference Hash:2a8e8c4c9c1c0e06
Wavelet Hash:df034342c7c7c2c7
Color Hash:#931f3c

Other Hashes

Crop Resistant:2a8e8c4c9c1c0e06

Scan History

Scan history not available

Unable to load historical scan data