Security Scan Report: sp30ct-vadex-biz-qanik-rumol.pages.dev

Redirected to:
https://sp30ct-vadex-biz-qanik-rumol.pages.dev/appeals/submit-appeal-f...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 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://sp30ct-vadex-biz-qanik-rumol.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp30ct-vadex-biz-qanik-rumol.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta 'Page Appeal' flow on a random pages.dev subdomain impersonating Facebook branding. This confirmation step has no form, but the host is not Meta — do not submit any account details or reference codes.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a non-official domain
Randomized pages.dev subdomain used as a front for a brand appeal flow
Dead '#' Sign Up/Log In links and templated create-react-app metadata
Unranked, unknown-age shared-hosting tenant
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp30ct-vadex-biz-qanik-rumol.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp30ct-vadex-biz-qanik-rumol'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp30ct-vadex-biz-qanik-rumol.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 03e2d86c

Page Load Overview

0.82s
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
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
93--

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:#87c59d

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data