Security Scan Report: ainifb-4.top

Redirected to: https://ainifb-4.top/

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Submitted: Jan 18, 2026, 12:46:56 AMCompleted: Jan 18, 2026, 12:48:29 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 ainifb-4.top and was registered NaN years ago.

Submitted URL: http://ainifb-4.top/

Effective URL: https://ainifb-4.top/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears benign.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page returns 404 indicating no active malicious content
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(54%)

Domain Information

The domain name 'ainifb-4.top' uses the .top top-level domain while skipping any subdomain. Its registrable label 'ainifb-4' stretches across 8 characters containing three vowels alongside three consonants, notching one digit and one hyphen. Segmentation suggests 5 words: a, in, if, b, 4. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ainifb-4.top/

Page Load Overview

0.91s
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:103 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism54% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
54%
adult content
52%
healthcare medical
43%
documentation technical
42%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
318.139.243.42Singapore, Singapore
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182014C4F92F30105745655342BD7F3401A49855B926BDE303D4DA298CF8866485EB7CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjy7NeR/1a8dv4XuC0H6LGzLfqcTECyJf4AkDZKeeeWJFapzU1:hRjCNeR/cAv4pizL5ECyJfVkIeehJFai

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:705:AAAAAAAAABAAAAAAAAAAAAAEAAAAAAAIAAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAACAAQEAAigAAAAAAAgAAAAAIAACAAAAAA

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:e7e7c3ffffffffff
Perceptual Hash:a66666c789999999
Difference Hash:4c4c160400000000
Wavelet Hash:c4c4c0ccf0f0f0f0
Color Hash:#e08b6c

Other Hashes

Crop Resistant:4c4c160400000000

Scan History

Scan history not available

Unable to load historical scan data