Security Scan Report: aibonet.com

Redirected to:
https://www.aibonet.com/
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Submitted: Jun 14, 2026, 2:25:53 PMCompleted: Jun 14, 2026, 2:27:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is aibonet.com and was registered NaN years ago.

Submitted URL: https://aibonet.com

Effective URL: https://www.aibonet.com/Redirected

AI Security Verdict

Low Risk

Confidence: 95%

2
Risk Score

Site appears legitimate with no malicious activity detected.

Risk Factors
Domain is unranked in Cisco Umbrella (weak signal)
Safety Factors
Well‑established domain age
No malicious indicators (IoC, YARA, IDS)
Only non‑credential forms present
Domain age information unavailable

Details

Page Title

Quality Electrostatic Eliminator & Ionizing Air Blower factory from China

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(36%)

Domain Information

Domain 'aibonet.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'aibonet' spans 7 characters split between four vowels and 3 consonants. Segmentation suggests 3 words: aib, one, t. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aibonet.com

Page Load Overview

4.48s
Total Load Time
49
HTTP Requests
4
Domains
1.8 MB
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:6,523 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software36% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
36%
corporate
35%
documentation technical
30%
forum
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4967.228.110.78Seattle, Washington, United States
AS36351IBM Cloud
491--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116E36C96E5F9053C05A701A676A15745FAB5C13BAF03C990B8BCCA544FC2EC2E36738E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xZd9n4ldbarI35o4ldkhKIbsr5GRLC6IIxmM0qmoaTQw4HQw4UmhZSE6ljGks7Mo:xBn4ldbarI35o4ldkhKIG5GpCrIz0IaT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:152647:QFCKFEgRC9IFJmxEuEICMDYELVO44R8WKEgkIwC6cIBqWzkEWRQxhAAoVkAEGjHKYKMAGANAENCglA2VJhawiUzZiHCVhGFa

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:80818181cffffff7
Perceptual Hash:ee6ac6d0e44bc6d0
Difference Hash:257571139e4f0a25
Wavelet Hash:80000081cffffff7
Color Hash:#4090bf

Scan History

Scan history not available

Unable to load historical scan data