Security Scan Report: sp10ct10-cavnek-biz-vuleri.pages.dev

Redirected to:
https://sp10ct10-cavnek-biz-vuleri.pages.dev/appeals/submit-appeal-for...
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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://sp10ct10-cavnek-biz-vuleri.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp10ct10-cavnek-biz-vuleri.pages.dev/appeals/submit-appeal-for...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Page presents as a Meta appeal confirmation on an unofficial pages.dev subdomain, replicating Meta branding. No form on this page, but it fits a brand-impersonation phishing funnel. Avoid interaction.

Risk Factors (4)
Impersonation of Meta on a non-official domain
Random pages.dev subdomain inconsistent with a major social-media brand
Appeal and account-restriction language mimicking official support processes
Unranked domain claiming to represent Meta
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp10ct10-cavnek-biz-vuleri.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp10ct10-cavnek-biz-vuleri'. Count 5 characters in 'pages' holding two vowels versus three consonants. It segments into one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp10ct10-cavnek-biz-vuleri.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan a23e8d20

Page Load Overview

1.61s
Total Load Time
466 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
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

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:#1f5393

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data