Security Scan Report: bermora-kxt-zerveta-p1t6hc28.pages.dev

Redirected to:
https://bermora-kxt-zerveta-p1t6hc28.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://bermora-kxt-zerveta-p1t6hc28.pages.dev/send_appeal_request

Effective URL:
https://bermora-kxt-zerveta-p1t6hc28.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Confirmed Meta 'Page Appeal' phishing kit on a disposable pages.dev subdomain, impersonating Meta with a fake account-suspension appeal lure. Do not submit any information.

Risk Factors (6)
Known malicious phishing kit (Meta Page Appeal) confirmed by analyst-vetted kit roster
Brand impersonation of Meta on a domain it does not own
Urgency and threat-of-loss language pressuring victims within 48 hours
Disposable free-hosting subdomain with randomized tenant namespace
Unranked domain with no legitimate identity signals
Kit reportedly cloaks scanners by redirecting datacenter IPs to real facebook.com or serving blank decoys
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'bermora-kxt-zerveta-p1t6hc28.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'bermora-kxt-zerveta-p1t6hc28'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://bermora-kxt-zerveta-p1t6hc28.pages.dev/send_appeal_request

Another page of the site in scan 67f0bfe1

Page Load Overview

2.26s
Total Load Time
224 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
51%
documentation technical
48%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.44.125Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.47.131Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4A21AB065B8236E569783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gAoS10lNvEiVDJVAFZnuyr17wpS/BHYO86tM7b/+ATcf2W++TaDv:gAmlNvEiVDTmuy57wpS/ZY8Icf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:wYAVhwBunXjXaXWFAAHRuxAyIiIHIMJJwIABbgqmpFaSCgaFIuAAYBJWRCrQxQCEBAoRIQ6CZIcBCw4B1DrojkOKmgEIgnUZ

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:c3c3ffdfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:2e062c2c0e4c0c4e
Wavelet Hash:8ec28286c3e3e7e3
Color Hash:#6d2d86

Other Hashes

Crop Resistant:2e062c2c0e4c0c4e

Scan History

Scan history not available

Unable to load historical scan data