Security Scan Report: xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev

Redirected to:
https://xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev/send_appeal_request
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev/send_appeal_request

Effective URL:
https://xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Byte-identical match to an analyst-vetted Meta 'Page Appeal' phishing kit: fake Meta Business Suite suspension notice on a throwaway pages.dev host, using a 48-hour deadline and appeal lure to harvest account credentials. Do not enter any information.

Risk Factors (5)
Verified malicious phishing kit fingerprint (Meta Page Appeal kit, 0693dd46 cohort)
Brand impersonation of Meta on a non-Meta domain
High-pressure account-suspension threat with fake case ID and 48-hour deadline
Randomized subdomain on free hosting platform (pages.dev) with unknown creation date
Deceptive appeal funnel designed to collect account/business credentials
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'xc07t-qxf4-kxh-pqj3j-bvkzi'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://xc07t-qxf4-kxh-pqj3j-bvkzi.pages.dev/send_appeal_request

Another page of the site in scan 02986493

Page Load Overview

3.83s
Total Load Time
263 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
47%
corporate business
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CA20AB065B4236E568783F9655B63E821AE651FF2738050F6FC02B947CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gmqOS10lNvEiVDJVAFZnu2U7fpS/BHYO86tM7nf2W++TQDr/+ATt:gmq4lNvEiVDTmu2U7fpS/ZYlf2W++Em4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22049:CSYEnGBSASCBzUWBNYb0DGATgDAkVbCp8KqmlKjmCoR4CAupiAASoFVCCJwChIDFTskChoGWMHVMCJAApgJAFJuZgmvI6TnA

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:e3c3f7dfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:0e062c2c0e4c0c4e
Wavelet Hash:cec2c2c6e3e2e6e0
Color Hash:#35d22d

Other Hashes

Crop Resistant:0e062c2c0e4c0c4e

Scan History

Scan history not available

Unable to load historical scan data