Security Scan Report: sp29ct-vemru-biz-lonak-trefu.pages.dev

Redirected to:
https://sp29ct-vemru-biz-lonak-trefu.pages.dev/send_appeal_request
Site favicon
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://sp29ct-vemru-biz-lonak-trefu.pages.dev/send_appeal_request

Effective URL:
https://sp29ct-vemru-biz-lonak-trefu.pages.dev/send_appeal_request
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'Meta for Business' page-appeal page on a free pages.dev subdomain, using Meta branding and a 48-hour account-suspension threat to harvest appeal codes. Clear brand impersonation; avoid interaction.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Urgency/deadline pressure (48 hours) typical of phishing lures
Request for a private account appeal/recovery code
Free hosting-platform subdomain with no verifiable operator identity
No legitimate Meta organizational or contact information on the page
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp29ct-vemru-biz-lonak-trefu.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp29ct-vemru-biz-lonak-trefu'. The second-level label 'pages' is 5 characters long holding two vowels versus three consonants. Word splitting yields one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp29ct-vemru-biz-lonak-trefu.pages.dev/send_appeal_request

Another page of the site in scan 047aa6cc

Page Load Overview

0.40s
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
5172.66.47.83Cloudflare · 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.
1172.66.44.173Cloudflare · 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

T1F762E5F1099827BD828F83A861227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5RmA2QPWhaHQ9tiW9Y:gthS1MqDfDJCVdpMqnru8Ohwo3Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JcQCMJAAsDAYjTYgAAAhXgQ4SEIRaiEgsQIBjUwIIOwwS0i8ZIKAkIAUhADwCOQjGxTsoQSAwEKCBGAQgKUpsABpQgAAVr2J

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:#693a78

Scan History

Scan history not available

Unable to load historical scan data