Security Scan Report: msuil.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://msuil.vercel.app/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Bare Vercel 404 deployment-not-found page with no forms, no impersonation and no malware signals; the IDS tags are platform-wide abuse reputation, not page content.

Safety Factors (3)
Only static framework error content is served; no user input is requested
No redirects and no external domains contacted
The IDS hits describe the shared vercel.app platform being abused by third parties in general, not anything this page serves
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'msuil.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'msuil'. Count 6 characters in 'vercel' containing two vowels alongside 4 consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.20s
Total Load Time
20 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
32%
technology software
32%
government public service
31%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1D2D07371952A3DF223CC26088BE01C347DD05BED076B8AAA0996F0DADB5D1163BD82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HE+rfPXBcAFmvgTd/4+LLLTx/7nNmzD41n5aocIm:HEgfPLLftn8Q/aD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30643:gCJGDwCAqK4BwFhEJwaUbQAeoYXAMzRTheYBCMhlUYiAQFKHQRR8BawAY7ACSpKQIBLF2QYCOgAlBCQQAEMdAYgyggYMINuE

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:c0c0d0c0273f3f27
Color Hash:#ae2dd2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data