Security Scan Report: 4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev

Redirected to:
https://4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev/appeals/submit-appeal-f...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Fake Meta/Facebook appeal page on a random pages.dev subdomain, using copied official branding and footer. No credential form on this page, but clear brand impersonation; avoid and report.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a domain not controlled by Meta.
Use of copied official Meta/Facebook branding, footer links, and product names to create a false sense of legitimacy.
Random shared-hosting subdomain with no legitimate affiliation to Meta.
Deceptive appeal-status language designed to reassure users after a likely phishing interaction.
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), '4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev' is registered, featuring subdomain '4teh-hcp-c7xj-32qw-1nx5-3qiv'. Count 5 characters in 'pages' with two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://4teh-hcp-c7xj-32qw-1nx5-3qiv.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 47fa152f

Page Load Overview

0.82s
Total Load Time
470 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811D1C381F958D18536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gmyqRSy+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gmyLNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8486:CIgwLDsP8AhCmEYxoChKSAUgALaMMOEApQAsgKB/IgEGpEoRmhdFC7GRAJRYZQWgjlOBB5hCMBQQYdhuFuAShBANYkBTkLEC

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:ffe7e7e7efefc2e7
Perceptual Hash:f6e68c998c668a39
Difference Hash:2a0e0c0c1c1c0c06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:#bf8c40

Other Hashes

Crop Resistant:2a0e0c0c1c1c0c06

Scan History

Scan history not available

Unable to load historical scan data