Security Scan Report: milkyfloors.vercel.app

Submitted: Oct 5, 2026, 12:45:09 AMCompleted: Oct 5, 2026, 12:45:48 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Password-harvesting login page on a free vercel.app subdomain with fake robot/encryption badges, contradictory geo banners and visitor IP-lookup scripts — a phishing-kit profile, not a real document portal.

Risk Factors (5)
Password-collecting login form on an instant-publishing platform subdomain with unknown creation date
Anti-bot/encryption 'trust' badges and forced 'authentication error' loop characteristic of phishing kits
Client-side IP/geolocation lookups to ipapi.co and api.ipify.org
Inconsistent claimed visitor location (Germany vs. Sweden) between DOM and screenshot
Unranked, reputation-less host with no real organisational footprint
Domain age information unavailable

Details

Page Title

LOGIN -

Scan Type

public

Domain Name Analysis

You're looking at domain 'milkyfloors.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'milkyfloors'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://milkyfloors.vercel.app/

Page Load Overview

1.39s
Total Load Time
304 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:401 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain80% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
80%
documentation technical
61%
technology software
60%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0100.61.51.65Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0142.251.110.99Google · CDNUnited States
AS15169Google LLC
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
052.72.208.91Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1112--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106A2C76A19F30415B523E1783FFB93083A7180079906DD28B95C5394DFC8DA26AFBBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:FBIBfVKDr42qYXdsGMflldD+3P2bsmQf2O1:F2BfVO7NsfN/Wmsma

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21959:BqxXYiUVQQcDCaAARB0i5GYUgYAQSbBAImAMCAThQLBENU4AOiGJowskBh46jgZsh5EoQhgHSAwSq8YCCIImJoJAIMgyRMlJ

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:0018181818181800
Perceptual Hash:99cc663333cc3399
Difference Hash:4cb2b2b2b2b2b24c
Wavelet Hash:3c1818181b1b1b07
Color Hash:#7b6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data