Security Scan Report: js.cool

Submitted: Jan 13, 2026, 7:36:58 AMCompleted: Jan 13, 2026, 7:38:57 AMpubliccompleted

This website contacted 5 IPs in 1 country across 9 domains to perform 43 HTTP transactions. The main domain is js.cool and was registered 10 years ago.

Submitted URL: https://js.cool

The Cisco Umbrella rank of the primary domain is #830,184 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (over 9 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
Low ranking does not imply malicious intent without other signs
Domain age information unavailable

Details

Page Title

Willin Wang Free Domains

Scan Type

public

Domain Name Analysis

The domain name 'js.cool' uses the .cool top-level domain and has no subdomain. Count 2 characters in 'js' containing zero vowels alongside two consonants. Segmentation suggests one word: js. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://js.cool

Page Load Overview

40.27s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:zh
Text Length:60,629 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
47%
entertainment media
36%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.184.226United States
AS15169GOOGLE
8104.21.80.27United States
AS13335CLOUDFLARENET
8104.16.79.73United States
AS13335CLOUDFLARENET
8104.17.24.14United States
AS13335CLOUDFLARENET
8104.26.12.164United States
AS13335CLOUDFLARENET
435--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAE20D345142357F22278C90BA22B35FA1A7C33FDDA7804A97FD53D54BC6CA2BC4919A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WTRRSIwrHy3UI0HM5scL20fvKlBgDrIK2gkcwY0QvcMcauVesMeR907ULalt4t52:0RSIOX5PMi99Ui9Yqi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33962:CgEAM2MN3zmISAqJCQMmDJwNcGyES4jIycRXA4J6OECVJGqgbiAg4JEQAjCrBMQVICAAQcCUC1QCAGTOCnZQFLkUAhMCTBkQ

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:fffcffff38181818
Perceptual Hash:dbf40a0aa5e0a3b7
Difference Hash:e030d0e878716969
Wavelet Hash:3cfcfefe18181818
Color Hash:#862d65

Scan History

Scan history not available

Unable to load historical scan data