Security Scan Report: www.dartshopper.com

Submitted: Jan 3, 2026, 9:25:25 PMCompleted: Jan 3, 2026, 9:26:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is dartshopper.com and was registered NaN years ago.

Submitted URL: https://www.dartshopper.com/players/luke-littler/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; the Vercel security checkpoint is a normal verification step.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Security checkpoint is a legitimate anti‑bot measure
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(51%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.dartshopper.com' is registered, featuring subdomain 'www'. Count 11 characters in 'dartshopper' holding 3 vowels versus eight consonants. Tokenizing the label suggests 2 words: darts, hopper. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.dartshopper.com/players/luke-littler/

Page Load Overview

0.88s
Total Load Time
3
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:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
technology software
45%
news media journalism
36%
cryptocurrency blockchain
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.150.16.193United States
AS16509AMAZON-02
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172E2F880D708FC517242898E60FE1C252250F9B67606DB98FF91DDB6FAA99C05027F9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QAkLWL+h3qDG/JGJPa+WZMcR9+g54AHFDSnTVj/YU+b:QAkSLA38+GJy+WZM29+gKAHuVj2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32585:BlJCBAQACTwAqkmyIlRTOQ4YDiMGgBCrFFIzMIIwcQBXUAADQhXQMaXjACIkAZVQBQKAww4Hh4ikgEgJABJeAEADRFEoo3II

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:ffffffe7e7ffffc3
Perceptual Hash:e699cc9966934c99
Difference Hash:0000000c0800000c
Wavelet Hash:3c3c3c24e4fcfcc0
Color Hash:#4e1f93

Other Hashes

Crop Resistant:0000000c0800000c

Scan History

Scan history not available

Unable to load historical scan data