Security Scan Report: rwb8m-c1mory-g4wa-h89vr1.pages.dev

Redirected to:
https://rwb8m-c1mory-g4wa-h89vr1.pages.dev/appeals/submit-appeal-form/...
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://rwb8m-c1mory-g4wa-h89vr1.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://rwb8m-c1mory-g4wa-h89vr1.pages.dev/appeals/submit-appeal-form/...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Fake Meta appeal page on a random pages.dev subdomain, copying Meta branding and support language. No form on this page, but it impersonates Meta and should be treated as phishing infrastructure.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Hosted on a free pages.dev subdomain with deliberately random-looking hostname
Copied Meta/Facebook branding and footer links
Pressure language about account restrictions and appeal suspension
No legitimate connection between the hostname and Meta
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), 'rwb8m-c1mory-g4wa-h89vr1.pages.dev' is registered with subdomain 'rwb8m-c1mory-g4wa-h89vr1'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rwb8m-c1mory-g4wa-h89vr1.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan ff92ef91

Page Load Overview

3.25s
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
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · 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

T14C027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gefqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:geFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIAAiy58wADXBNIRRRUCgYSIVOuOEAIgQvSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEAABQZuMDBOiEmIoMqA

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:ffe7e7e7efefc3e7
Perceptual Hash:f6668c998c669a39
Difference Hash:2a8e0c4c9c1c8e06
Wavelet Hash:ffc2c2c2c6c6c2c3
Color Hash:#40acbf

Other Hashes

Crop Resistant:2a8e0c4c9c1c8e06

Scan History

Scan history not available

Unable to load historical scan data