Security Scan Report: g4sjm-49p-jyss45-xyk5l-hnn.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://g4sjm-49p-jyss45-xyk5l-hnn.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain, impersonating Meta Business with fake 48-hour account-suspension threats to harvest business credentials.

Risk Factors (6)
Known phishing kit identified by analyst-vetted kit roster (Meta Page Appeal, two cohorts)
Impersonation of Meta/Facebook Business on a non-Meta domain under pages.dev
Urgency and account-suspension threats designed to force credential submission
Disposable shared-hosting subdomain with randomized name, unknown creation date
Fabricated case ID and enforcement details inconsistent with real Meta communications
Page scripts contact an external IP-geolocation service typical of kit cloaking
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'g4sjm-49p-jyss45-xyk5l-hnn.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'g4sjm-49p-jyss45-xyk5l-hnn'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://g4sjm-49p-jyss45-xyk5l-hnn.pages.dev/send_appeal_request

Another page of the site in scan 8d0c281c

Page Load Overview

1.12s
Total Load Time
223 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
53%
technology software
51%
documentation technical
48%
government public service
43%

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.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · 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

T105A21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17lpS/BHYO86tM7b/+ATcf2W++TaDv:gemlNvEiVDTmuy57lpS/ZY8Icf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:gYARpABqlHjFSWWFCBHwu1AyImoLIGEIxKgFbgoPvVaSKoYFsuICYBpURCvQwQCFAAIRIQ6CJEYBAwgB1DjgDgOKmhFYgXWZ

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:83c3dfdfe7e7e7e3
Perceptual Hash:a76d6593989a9a98
Difference Hash:2e062c2c0e4e4d4e
Wavelet Hash:0f03038787e3e7e3
Color Hash:#c59487

Other Hashes

Crop Resistant:2e062c2c0e4e4d4e

Scan History

Scan history not available

Unable to load historical scan data