Security Scan Report: sp29ct-ravun-biz-melti-zokra.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp29ct-ravun-biz-melti-zokra.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Confirmed Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain — a fake 48-hour account-threat lure built to harvest appeal codes/credentials. The absence of form fields in this capture reflects the kit's scanner cloaking, not legitimacy.

Risk Factors (6)
Analyst-vetted known phishing kit match (meta-page-appeal family, 2 kit cohorts)
Brand impersonation of Meta on a non-Meta domain with no affiliation
Scareware urgency: 48-hour account deactivation threat
Anonymous free-hosting subdomain with unknown creation date, unranked in Cisco Umbrella
Lure requests an 'appeal code' with instructions to keep it private — consistent with collecting a credential/2FA token
Legitimacy score 5/100 with no verifiable business identity
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp29ct-ravun-biz-melti-zokra.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp29ct-ravun-biz-melti-zokra'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. Word splitting yields 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp29ct-ravun-biz-melti-zokra.pages.dev/send_appeal_request

Another page of the site in scan c1813aea

Page Load Overview

0.35s
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
5188.114.96.9Cloudflare · 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.
95--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D62E5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQCtiW9Y:gthS1MqDfDJCVdpMqnru8OhwX3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQCMJAAsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:#79a4d2

Scan History

Scan history not available

Unable to load historical scan data