Security Scan Report: miin.vercel.app

Submitted: Sep 26, 2026, 7:50:35 AMCompleted: Sep 26, 2026, 7:51:28 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Benign-looking personal 'Dear miin' date-idea page with no forms or impersonation. Only a single-source unverified phishing report and generic vercel.app hosting alerts justify caution, not HIGH_RISK.

Risk Factors
Unverified single-source phishing indicator on the scanned host (no corroboration)
Hosted on an instant/free subdomain platform (vercel.app) where the true page creation date is unknown
Domain age information unavailable

Details

Page Title

Dear miin

Scan Type

public

Domain Name Analysis

Domain 'miin.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'miin'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.35s
Total Load Time
164 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:169 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
51%
entertainment media
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7926358645CDC3AA52A474CD3BF2E3D04AD836BC7182018356D89304F65ABF2EBF5E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Ziue1sPm+C2d6EpoPl+1x1N1u1+1e1I1l10J:Ziue1sr6EpoPl+1x1N1u1+1e1I1l10J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19706:opAKk4QEHItUCgEIkKCcdqR5DSE/CCAAAoqh4ICaMxAICglAAVkJkMYoiYEoOBYAcMmhIYN6sMRhH2YJS7iGqBWCACFECe1I

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:10182c3ceee6e6fa
Perceptual Hash:d70c486699669977
Difference Hash:7571686848cc0c10
Wavelet Hash:10181c7ce6e6e6ee
Color Hash:#6caae0

Other Hashes

Crop Resistant:7571686848cc0c10

Scan History

Scan history not available

Unable to load historical scan data