Security Scan Report: ebn-kaik.ai

Submitted: Dec 21, 2025, 10:50:03 AMCompleted: Dec 21, 2025, 10:54:20 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 6 domains to perform 167 HTTP transactions. The main domain is ebn-kaik.ai and was registered NaN years ago.

Submitted URL: https://ebn-kaik.ai

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Domain is not hosting login or payment forms
No malicious Indicators of Compromise detected
Content appears to be generic news headlines without brand impersonation
Domain age information unavailable

Details

Page Title

KAIKAI

Scan Type

public

Language

🇻🇳

VI

(36% confidence)

Category

unknown

(0%)

Domain Information

The domain 'ebn-kaik.ai' uses the Anguillan country-code top-level domain (.ai). Its registrable label 'ebn-kaik' stretches across 8 characters with three vowels and 4 consonants, plus 1 hyphen. Breaking it apart gives four words: eb, n, kai, k. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ebn-kaik.ai

Page Load Overview

247.39s
Total Load Time
167
HTTP Requests
6
Domains
123 KB
Total Size

Language Analysis

Primary Language

🇻🇳Vietnamese
Code: vi
Confidence:36%
Script:Unknown
Direction:ltr

Detection Details

Language Code:vi
Detection Confidence:36%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.26.14.2United States
AS13335CLOUDFLARENET
1513.215.30.216Singapore, Singapore
AS16509AMAZON-02
15104.26.15.2United States
AS13335CLOUDFLARENET
15104.26.6.81United States
AS13335CLOUDFLARENET
15172.67.73.147United States
AS13335CLOUDFLARENET
15172.67.75.226United States
AS13335CLOUDFLARENET
1513.213.90.120Singapore, Singapore
AS16509AMAZON-02
15104.26.7.81United States
AS13335CLOUDFLARENET
1552.220.193.46Singapore, Singapore
AS16509AMAZON-02
15216.58.210.162United States
AS15169GOOGLE
16711--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155C3963168E2757225B1C2E09DA13E6F7D869A039AE64E2277FC9A0B1FC1DF1CD13449

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nkv0XMWLdSXXsGuTG8FZjTmZTNb2dA0fHBpy3X:nS+dSXXzuq8F5SvtcXyn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119109:XO1BIkailSLkIwCFMyAgh1AoY0iFLoiQdwo5nOKCgEYJTQrAMHdACUlkgBCkgCgiQWFBAEoCgaDbg0CMQmskSENAEmUAWA4h

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:ff1f1f1f1fdfdfdf
Perceptual Hash:8c07f1f1e3f8f00c
Difference Hash:c068e868e0b0b0b0
Wavelet Hash:1e1e1e1e1e1e1e1e
Color Hash:#5cac53

Scan History

Scan history not available

Unable to load historical scan data