Security Scan Report: msuil.vercel.app

Submitted: Sep 25, 2026, 5:50:57 PMCompleted: Sep 25, 2026, 5:52:24 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

Dead Vercel deployment returning a platform 404 error. No forms, no impersonation, no Indicators of Compromise or malware. IDS alerts only flag the shared vercel.app platform, not this page.

Safety Factors (4)
No credential or payment form present (verified DOM form counts all zero)
No brand impersonation — page displays only the platform's own error template
No threat-intel, YARA, Safe Browsing, or phishing/malware IDS hits tied to this page's content
Standard platform error page with no user input surfaces
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Domain 'msuil.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'msuil'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Tokenizing the label suggests 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://msuil.vercel.app/

Page Load Overview

1.18s
Total Load Time
3 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
33%
cryptocurrency blockchain
33%
technology software
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.
1216.198.79.3Aws · 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

T1E6F1FB917061363FF63389221897511D313CE047FD275EDAA98A86F09ADE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjRW5vG7XOuT24gEcy5m:Wurh84BFynO8RWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKEYhBAArBcAopUCrNgJSCHXRjDIgCZCbB0CjIgIoglDMDYCZCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:3c3c3020e4fcfce4
Color Hash:#e0816c

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data