Security Scan Report: www.millsiowaslv.vercel.app

Redirected to:
https://millsiowaslv.vercel.app/
Submitted: Sep 11, 2026, 1:45:07 AMCompleted: Sep 11, 2026, 1:46:27 AMpubliccompleted

This website contacted 4 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is millsiowaslv.vercel.app and was registered 6 years ago.

Submitted URL: http://www.millsiowaslv.vercel.app/

Effective URL:

https://millsiowaslv.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page impersonates Microsoft Outlook, collects credentials via a cross‑origin form, and is flagged for phishing – high‑risk credential phishing site.

Risk Factors (5)
Brand impersonation on unranked hosting subdomain
Credential collection form
Cross‑origin exfiltration endpoint
Phishing indicator from threat‑intel
High‑severity IDS alert
Domain age information unavailable

Details

Page Title

Microsoft Outlook

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.millsiowaslv.vercel.app' is registered, featuring subdomain 'www.millsiowaslv'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.millsiowaslv.vercel.app/

Page Load Overview

0.77s
Total Load Time
27 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:552 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
82%
news media journalism
64%
healthcare medical
57%
government public service
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
54--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA439E3FA9572C332827607463DBB28A3B2AC417864ED924387C1758EF41D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3yDwuJmtz7e05Nnfvi2aD2xLkzdKV7aQblNoJmgK4e2FuzU5QnclYtcY:5tzK05N7aD2xLEkF5F4nFurcScY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57535:C5RsAIgsIiCIKCI04CAYgmBKoGRAM4IJQQwcnSLQRGQOhgsNDAhMC0wIIKiITT4oApDEgBYAwRco+QAWSExAREFUYOBAcATA

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f677010989d9fc
Difference Hash:d0ccccd0d8d0d0d0
Wavelet Hash:3f273f3f3f000000
Color Hash:#d24e2d

Scan History

Scan history not available

Unable to load historical scan data