Security Scan Report: sp11ct-vexlan-biz8-polmer-drunix.pages.dev

Redirected to:
https://sp11ct-vexlan-biz8-polmer-drunix.pages.dev/send_appeal_request
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp11ct-vexlan-biz8-polmer-drunix.pages.dev/send_appeal_request

Effective URL:
https://sp11ct-vexlan-biz8-polmer-drunix.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit hosted on a disposable pages.dev subdomain, impersonating Meta with a 48-hour account-suspension threat and an 'appeal code' lure. Do not enter any credentials or codes.

Risk Factors (6)
Known malicious phishing kit identified twice by analyst-vetted kit roster
Brand impersonation of Meta on a non-Meta pages.dev subdomain
Urgency and account-loss threats (48-hour deadline) to pressure the victim
Instructions to supply a secret 'appeal code' — credential/code harvesting pattern
Disposable shared-hosting subdomain with randomized namespace, unranked reputation
IP geolocation lookup domain contacted (get.geojs.io) matching kit cloaking behavior
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'sp11ct-vexlan-biz8-polmer-drunix.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sp11ct-vexlan-biz8-polmer-drunix'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Meta Privacy Center A Privacy Center Hom Q 3 © & 0 ® Search Privacy topics More privacy resources Privacy Policy Other rules and articles Settings B Meta Meta Security we Account Review...

Another page of the site in scan 97801739

Page Load Overview

1.03s
Total Load Time
220 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,362 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.47.118Cloudflare · 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.
1172.66.44.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · 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

T17262E5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQUtiW9Y:gthS1MqDfDJCVdpMqnru8Ohwh3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQCMJAAsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAyEKCBGAQgKUpsABpQgAAVr2J

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:9f8fe3fff3e3efe3
Perceptual Hash:e4983823c79367c7
Difference Hash:3a362eacc6cec8cf
Wavelet Hash:0f038383f7e1e6e1
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data