Security Scan Report: sp13ct-lormor-biz-frandik-zavsel.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://sp13ct-lormor-biz-frandik-zavsel.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'Meta for Business' page-appeal portal on a throwaway pages.dev subdomain, impersonating Meta branding and workflow, with a single-source phishing report on the host. No credential form in this capture, but avoid and report.

Risk Factors (5)
Impersonation of a different entity's brand (Meta/Facebook) on a non-Meta domain
Single-source threat-intelligence report of phishing on the primary domain
Free shared-hosting subdomain whose creation date is unknown and not attributable to the platform apex
Fake Meta 'Page Appeal' support workflow designed to pressure victims into supplying account information
Page text warns users not to share the reference code and threatens suspension — pressure tactics mimicking legitimate enforcement notices
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp13ct-lormor-biz-frandik-zavsel.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sp13ct-lormor-biz-frandik-zavsel'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp13ct-lormor-biz-frandik-zavsel.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 9997d698

Page Load Overview

1.23s
Total Load Time
467 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
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

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:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff42c2c2c6c6c2c7
Color Hash:#763a78

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data