Security Scan Report: surfacedesigndecorinc.vercel.app

Redirected to:
https://surfacedesigndecorinc.vercel.app/
Submitted: Sep 24, 2026, 1:46:04 PMCompleted: Sep 24, 2026, 1:47:32 PMpubliccompleted

This website contacted 7 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is surfacedesigndecorinc.vercel.app and was registered 15 years ago.

Submitted URL: http://surfacedesigndecorinc.vercel.app/

Effective URL:

https://surfacedesigndecorinc.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Adobe 'shared document' page on a Vercel subdomain that impersonates Adobe and presents a password/access-code field without a username — a credential-phishing pattern. Do not enter any code or credentials.

Risk Factors (3)
Brand impersonation of Adobe on a third-party hosting subdomain
Password field without accompanying username field (credential harvesting pattern)
Unranked domain with unknown tenant age posing as an official brand document viewer
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'surfacedesigndecorinc.vercel.app' is registered with subdomain 'surfacedesigndecorinc'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://surfacedesigndecorinc.vercel.app/

Page Load Overview

0.34s
Total Load Time
318 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:562 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
52%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.16.78.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
67--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148F2DA3569792035BADF8693F19E0B473D628803DD0BB11075BD934D4FA9BCEC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JP/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1P3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35576:QARiCoiIYGSCkumIQqhQBWuAbiYFFaUIsBZWDGkvAaZJEp8EEBQkA2BwNsEBgnRCAU6ABAgAOYABRRQAkcEIBCHDEcUQoSJU

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:ffffe7c3ffffffff
Perceptual Hash:e666999966662699
Difference Hash:00000c0c00000000
Wavelet Hash:f0f0fcc0f0f0f0f0
Color Hash:#93401f

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data