Security Scan Report: cont17ct-felra-biz-qurvi-donex.pages.dev

Redirected to:
https://cont17ct-felra-biz-qurvi-donex.pages.dev/send_appeal_request
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Submitted: Completed: publiccompleted
This website contacted 5 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://cont17ct-felra-biz-qurvi-donex.pages.dev/send_appeal_request

Effective URL:
https://cont17ct-felra-biz-qurvi-donex.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Disposable pages.dev page impersonating Meta's 'Page Appeal' process with a 48-hour suspension threat; matches two analyst-vetted Meta Page Appeal phishing-kit bundles. Do not submit any appeal code or credentials.

Risk Factors (6)
Brand impersonation of Meta on a non-Meta domain
Analyst-vetted known phishing kit (Meta Page Appeal family) matched on two JS bundles
Urgency/account-suspension threat with 48-hour deadline
Disposable pages.dev tenant with unknown creation date and no domain reputation
Scanner-cloaking behaviour documented for this kit family
JS contacts an external IP-lookup service (get.geojs.io), typical of kit geolocation/cloaking logic
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'cont17ct-felra-biz-qurvi-donex.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'cont17ct-felra-biz-qurvi-donex'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://cont17ct-felra-biz-qurvi-donex.pages.dev/send_appeal_request

Another page of the site in scan 83cbe6a0

Page Load Overview

0.34s
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
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10462F5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQ9tiW9Y:gthS1MqDfDJCVdpMqnru8OhwU3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQCMJAQsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:#693a78

Scan History

Scan history not available

Unable to load historical scan data