Security Scan Report: jn2z0-t5afc-fas-b0dq-53kl4.pages.dev

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

Submitted URL: https://jn2z0-t5afc-fas-b0dq-53kl4.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain, impersonating Meta with fake 48-hour suspension threats and IP-lookup cloaking. Do not submit any information.

Risk Factors (5)
Analyst-vetted known phishing kit matched twice (meta-page-appeal family)
Brand impersonation of Meta on a non-Meta domain with no disclosure
Manufactured urgency and threats of permanent account/business deletion to force an 'appeal'
External IP-lookup service (get.geojs.io) contacted by page scripts — consistent with victim/scanner cloaking
Disposable shared-hosting subdomain with unknown, likely very recent creation date
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), 'jn2z0-t5afc-fas-b0dq-53kl4.pages.dev' is registered, featuring subdomain 'jn2z0-t5afc-fas-b0dq-53kl4'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. It segments into 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jn2z0-t5afc-fas-b0dq-53kl4.pages.dev/send_appeal_request

Another page of the site in scan d5933c47

Page Load Overview

2.92s
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 network86% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
86%
adult content
54%
technology software
51%
documentation technical
49%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.96.9Cloudflare · 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.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115A21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17+pS/BHYO86tM7l/+ATcf2W++TaDv:gemlNvEiVDTmuy57+pS/ZYaIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:SaABxQBOt2jFSLXlAIH6uxAwIkAHAAFHyAiHUhqogVSYCCaAkuACaBoUBCtWwYCEAAoTIAqAPtdBA4oBFD7IiiBK2kMOlnUJ

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:2e062c2c0e4d4c4e
Wavelet Hash:8e8282c6c3e3e7e3
Color Hash:#8479d2

Other Hashes

Crop Resistant:2e062c2c0e4d4c4e

Scan History

Scan history not available

Unable to load historical scan data