Security Scan Report: t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev

Redirected to:
https://t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev/send_appeal_reque...
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Submitted: Sep 24, 2026, 12:45:22 PMCompleted: Sep 24, 2026, 12:46:36 PMpubliccompleted

This website contacted 5 IPs in 2 countries across 4 domains to perform 15 HTTP transactions. The main domain is t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev and was registered 35 years ago.

Submitted URL: https://t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev/qaz-wsx-edc-rfv?welcome=1762246370725240&token248=1762246370725240&name_token136=Matthews%20Motors%20Wilmington

Effective URL:

https://t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev/send_appeal_reque...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a random pages.dev subdomain, impersonating Meta Business Support with a 48-hour suspension threat to harvest account credentials. Report as scam.

Risk Factors (5)
Analyst-vetted known phishing kit identified by byte-identical JavaScript fingerprint (Meta 'Page Appeal' kit).
Impersonation of Meta / Meta for Business on a non-Meta, unranked domain.
Urgent threat of account/Page and ad-account suspension with a 48-hour deadline and fabricated case ID.
Hosted on free instant-publishing pages.dev subdomain with a random, obfuscated name.
Fake branded appeal/security-center funnel designed to capture victim account details.
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 't4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 't4slc-ml1-0ko6-jkcdi-21-09-2026-hh'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Word splitting yields 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://t4slc-ml1-0ko6-jkcdi-21-09-2026-hh.pages.dev/qaz-wsx-edc-rfv?welcome=1762246370725240&token248=1762246370725240&name_token136=Matthews%20Motors%20Wilmington

Page Load Overview

1.34s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,891 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
89%
government public service
47%
technology software
44%
corporate business
41%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
155--

Detected Technologies3

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:e3f3fffff0f0f0f0
Perceptual Hash:ecb96564b1b36249
Difference Hash:0307033024242424
Wavelet Hash:c1c1e1fff0f0d0d0
Color Hash:#93401f

Other Hashes

Crop Resistant:0307033024242424

Scan History

Scan history not available

Unable to load historical scan data