Security Scan Report: msg53.vercel.app

Submitted: Jul 29, 2026, 12:45:32 AMCompleted: Jul 29, 2026, 12:48:08 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is msg53.vercel.app and was registered NaN years ago.

Submitted URL: https://msg53.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no concrete malicious signals; low risk but monitor due to unknown subdomain age.

Safety Factors
Absence of forms that collect credentials or payment data
No malicious external links or scripts identified
No evidence of brand impersonation
Domain age information unavailable

Details

Page Title

Before we proceed

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

finance banking

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'msg53.vercel.app' is registered with subdomain 'msg53'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. It segments into two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://msg53.vercel.app/

Page Load Overview

3.81s
Total Load Time
10
HTTP Requests
3
Domains
865 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:788 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
70%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.131United States
AS16509Amazon.com, Inc.
5199.36.158.100United States
AS54113Fastly, Inc.
102--

Page Statistics

10
Requests
3
Unique Domains
869.2 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10281354B8DE3A00F7882649B7AA3B6592E09D403434BC97B3E8E516CDF855E457A374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:OjEvcXYLLYXqO5t9wsBFWRJi5NlyJK/I9IIwP7YKbN0g/XpADLfdm:OnXYLLYXqEQKiKjyJ08IIwTYKT/Om

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4110:SwwCAAgwEAHogQygJAgAABAMUAIAgBwBpCIIAAhIQAAAAgMQCSiAgA4EQCAQoBACFEAAAAIKKJYAAAARIAAA0AIbQIkUAoQg

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:ffc7c3c3c7e7ffff
Perceptual Hash:b331ccc633cc6633
Difference Hash:001c1e1e0c0c0008
Wavelet Hash:fcc0c0c0c0e4fcfc
Color Hash:#6ccae0

Other Hashes

Crop Resistant:001c1e1e0c0c0008

Scan History

Scan history not available

Unable to load historical scan data