Security Scan Report: js.knock-ai.com

Submitted: Dec 3, 2025, 5:05:03 AMCompleted: Dec 3, 2025, 5:07:42 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 js.knock-ai.com and was registered NaN years ago.

Submitted URL: https://js.knock-ai.com/

The Cisco Umbrella rank of the primary domain is #380,175 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain age
No suspicious forms or fields
No redirects or external domains
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇪🇸

CA

(36% confidence)

Category

cryptocurrency blockchain

(51%)

Domain Information

Within the commercial generic top-level domain (.com), 'js.knock-ai.com' is registered; it also runs on subdomain 'js'. Its registrable label 'knock-ai' stretches across 8 characters containing 3 vowels alongside 4 consonants; bonus characters include one hyphen. Segmentation suggests 3 words: knock, a, i. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://js.knock-ai.com/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
71 KB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:36%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:36%
Script Type:Unknown
Text Length:114,003 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain51% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
51%
technology software
39%
news media journalism
35%
healthcare medical
35%
finance banking
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.49.80.229Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13884CBA4DEA313B211BBD5E311FD1BAB24F6817BD8575131E7AC83A8D7CDD01BA12806

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:iCyhv2u8fhigHcWw5fckske6c/H1W85fcWsyeacaHOWD5fcvsmexchH/WX5fcesz:iCytCy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:391412:QwANYMheBBACTRi8YSeGhAQGGISCqkc8QELtggOAdYZTRIKGa6aBFOgCAAMQgOkkg2zgCIBDQBMYmMmQuQgAVpA0cINMHEkJ

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:003f0f0f0f0f0f0f
Perceptual Hash:bf404062673b7b3c
Difference Hash:4ff43c5c3c7c7c7c
Wavelet Hash:003f0f0f0f1f0f1f
Color Hash:#361f93

Other Hashes

Crop Resistant:4ff43c5c3c7c7c7c

Scan History

Scan history not available

Unable to load historical scan data