Security Scan Report: sp14ct-foltem-biz-varsik-lurnok.pages.dev

Redirected to:
https://sp14ct-foltem-biz-varsik-lurnok.pages.dev/appeals/submit-appea...
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://sp14ct-foltem-biz-varsik-lurnok.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp14ct-foltem-biz-varsik-lurnok.pages.dev/appeals/submit-appea...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit confirmed on a disposable pages.dev host. Facebook/Meta branding with no legitimate domain, unranked domain; this is the kit's confirmation step. Do not enter or share any data.

Risk Factors (5)
Known malicious phishing kit identified by the vetting roster (Meta 'Page Appeal' family, HIGH phishing, two sightings)
Impersonation of Meta/Facebook brand on a non-Meta domain
Disposable Cloudflare Pages (pages.dev) subdomain with unverifiable creation date
Randomized look-alike subdomain name unrelated to any brand or business
Meta description reveals an unattended create-react-app scaffold ('Web site created using create-react-app'), typical of throwaway phishing kits
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp14ct-foltem-biz-varsik-lurnok.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp14ct-foltem-biz-varsik-lurnok'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Tokenizing the label suggests 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp14ct-foltem-biz-varsik-lurnok.pages.dev/appeals/submit-appeal-form/return

Page Load Overview

4.05s
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
3172.66.47.178Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.78Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A02719ACEA0567BEEC386DFB161BF6DB2CB149BD143A944B0F811C1C381F548D18536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:MtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8436:bCUJVERTwEHCYDIAAIhQoBCAyCWJRoIAkYi3LCIJAQM5kzKFCQmCmG8IFBlIBNccjOYjwMCLZNhqMKiIJ4DGhMBkBlEQsUAj

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:#ac5365

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data