Security Scan Report: ucharts-assets.vercel.app

Submitted: May 28, 2026, 1:27:37 AMCompleted: May 28, 2026, 1:28:58 AMpubliccompleted
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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 ucharts-assets.vercel.app and was registered NaN years ago.

Submitted URL: https://ucharts-assets.vercel.app

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(56%)

Domain Information

You're looking at domain 'ucharts-assets.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ucharts-assets'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. It segments into 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ucharts-assets.vercel.app

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
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:144 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
government public service
33%
healthcare medical
33%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1587172377B68211AF333C89FA1C26B993010A122D1AB8AB5FF57DF15D6CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMjd/R:TGRe91n5O6Yp63XKk1Vr3hjdR7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3784:BAAQQQSAIAAygGQABIQEEBBACgiAAIDBAAIUwAAAkgUACEGAgECQEAAAEABKoCEggCDBoQMEcQwAEAAICFEAZACJAAgACqwA

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:ffffffe7e7e7ffff
Perceptual Hash:b399cc6633998c66
Difference Hash:0000000c0c0c0000
Wavelet Hash:f0f0fce424240c0c
Color Hash:#ac7853

Other Hashes

Crop Resistant:0000000c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data