Security Scan Report: 5gb69-aba-yg7j-o1f39-30-09-2026-hh.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 44 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://5gb69-aba-yg7j-o1f39-30-09-2026-hh.pages.dev/

Effective URL:
https://www.facebook.com/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit on an unknown-age pages.dev subdomain, impersonating Meta with an email/password login form and cloaked redirection to facebook.com.

Risk Factors (5)
Known credential-phishing kit (Meta Page Appeal) identified by analyst-vetted kit roster
Impersonation of Meta/Facebook brand on a non-official pages.dev subdomain
Login form collecting email and password credentials
Cloaking / bot-protection mismatch between scanner capture and residential capture, consistent with the kit's evasion behaviour
Operator content addresses an automated reviewer context ('Page Appeal' lure) typical of phishing kits
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), '5gb69-aba-yg7j-o1f39-30-09-2026-hh.pages.dev' is registered and includes subdomain '5gb69-aba-yg7j-o1f39-30-09-2026-hh'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://5gb69-aba-yg7j-o1f39-30-09-2026-hh.pages.dev/

Page Load Overview

3.80s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,012 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network44% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
446--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC017B13CC10D48EA27093ABFDB2B16CC549B90DAAA27C50B4D615DB4AE4BE1CC67952

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+qrVe1yTG7faKj2a:hR056tC3spXoGa3WC+qrVqyC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACIARAAAAgAAAABAAAAAACAAAABAAAIAAAgAQIAAAAAAAAABAAAAAAAAAAAgAAAAAAAAAAAAAAAEAAgAAAQAAAA

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f000000000
Color Hash:#6ccee0

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data