Security Scan Report: w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev

Redirected to:
https://w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 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://w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev/send_appeal_request

Effective URL:
https://w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable pages.dev host, impersonating Meta Business Trust & Safety with a fake 48-hour suspension threat to harvest account appeals. Do not interact.

Risk Factors (5)
Known phishing kit matched by analyst-vetted roster (Meta 'Page Appeal', 2 cohorts)
Brand impersonation of Meta on a non-Meta disposable hosting subdomain
Urgency and threat-of-loss language with a fabricated case ID and 48-hour deadline
Appeal/verification funnel on an unranked pages.dev tenant
Cloaking behaviour documented for this kit family (scanner-vs-residential differential serving)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'w5f-j8ng-hoc-pvtoj0-dt4hjv'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Segmentation suggests one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://w5f-j8ng-hoc-pvtoj0-dt4hjv.pages.dev/send_appeal_request

Another page of the site in scan 9e816bfe

Page Load Overview

2.04s
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 network85% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
85%
adult content
53%
technology software
50%
documentation technical
48%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.47.147Cloudflare · 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.
1172.66.44.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7A21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17EpS/BHYO86tM7U/+ATcf2W++TaDv:gemlNvEiVDTmuy57EpS/ZYnIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:SaAEyQBKs2ivGKlmBJHqq1giAkIKAAFHyDmHEBjoIVCKCkaAkgACCBpQhCF2gYAAAAATwEqAPp5BCZqBFAbI3qBS3koOF1cR

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:c7c3ffdfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:2e062c2c0e4c4c4e
Wavelet Hash:8e8282c6c3e3e7e3
Color Hash:#3a6778

Other Hashes

Crop Resistant:2e062c2c0e4c4c4e

Scan History

Scan history not available

Unable to load historical scan data