Security Scan Report: 24-04big1.vercel.app

Submitted: Jul 3, 2026, 2:52:41 PMCompleted: Jul 3, 2026, 2:54:16 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is 24-04big1.vercel.app and was registered NaN years ago.

Submitted URL: https://24-04big1.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious indicators, contains no forms, and does not impersonate any brand; classified as low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of credential or payment collection fields
No malicious JavaScript behavior or external network calls
No brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain '24-04big1.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain '24-04big1'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Word splitting yields 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://24-04big1.vercel.app/

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:756 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
59%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE3154B745B1702EF33788FD34E633687244951BC0921F99B658AFF8E2D7CA65023685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7CKD0:TGi9ScnwEYlD0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAwCAgAgAAIAADAASACACAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24243c3c24
Color Hash:#d2772d

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

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