Security Scan Report: aklasbelaonline.com

Submitted: Mar 17, 2026, 1:57:04 AMCompleted: Mar 17, 2026, 1:58:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is aklasbelaonline.com and was registered NaN years ago.

Submitted URL: https://aklasbelaonline.com/author/jameel/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns; the page is a normal 404 page on an established domain.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Page not found – My Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

blog personal website

(51%)

Domain Information

Within the commercial generic top-level domain (.com), 'aklasbelaonline.com' is registered with no subdomain. The second-level label 'aklasbelaonline' is 15 characters long containing 7 vowels alongside 8 consonants. Tokenizing the label suggests 3 words: ak, lasbela, online. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aklasbelaonline.com/author/jameel/

Page Load Overview

0.95s
Total Load Time
7
HTTP Requests
1
Domains
201 KB
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-US
Text Length:319 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
51%
e-commerce shopping
39%
technology software
35%
documentation technical
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7159.195.9.211Nuremberg, Bavaria, Germany
AS197540netcup GmbH
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E573B4A157B448F579BF833B5E44A2185227E902CA097BD5F0F3D254758CEA60AE3F0B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Hoeclk+d5ypG87d8ZobXemlUVuXwamnLOmvC0h:Hoeclk+0Jd8ZobXemlUVugamn6mvC0h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74062:QKJF8AMIEpmIYaCBjNoSsANUkwCFBETVAlBgNAsg5h4wIiFAUCYMgOgESAglYIHOKjLClAEACQFGw+BAEBAyFcPIA8m2JfA3

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:ff9fcfcf8f8f8f8d
Perceptual Hash:b9c447c7c830d34f
Difference Hash:703a1aba3a1a1f39
Wavelet Hash:bf8e8e8e8e8f8181
Color Hash:#1f2993

Scan History

Scan history not available

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