Security Scan Report: jtd64-1yp-0rr9-3sinb-23-09-2026-aa.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 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://jtd64-1yp-0rr9-3sinb-23-09-2026-aa.pages.dev/qaz-wsx-edc-rfv

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a throwaway pages.dev subdomain: it impersonates Meta and presents an email/password form, using cloaked decoy/redirect behaviour to hide from scanners. Do not enter credentials.

Risk Factors (5)
Known phishing kit signature match (Meta 'Page Appeal' family, HIGH phishing)
Brand impersonation of Meta/Facebook on a non-Meta pages.dev subdomain
Password + email credential form on attacker-controlled hosting
Bot/cloaking behaviour: datacenter scanner and residential client receive different content (decoy vs. lure)
Redirect to the genuine facebook.com used as cover for the lure flow
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'jtd64-1yp-0rr9-3sinb-23-09-2026-aa.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'jtd64-1yp-0rr9-3sinb-23-09-2026-aa'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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Another page of the site in scan 80c0a131

Page Load Overview

0.81s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
corporate business
45%
social media network
35%
documentation technical
28%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
11157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7172.66.47.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.66.44.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
426--

Detected Technologies1

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:07000000000

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data