Security Scan Report: k09.mbuul.org

Submitted: Jan 3, 2026, 6:31:12 PMCompleted: Jan 3, 2026, 6:34:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is k09.mbuul.org and was registered NaN years ago.

Submitted URL: https://k09.mbuul.org

The Cisco Umbrella rank of the primary domain is #60,043 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
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Reasonable Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Serveur Dedibox en maintenance

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

real estate property

(75%)

Domain Information

The domain 'k09.mbuul.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'k09'. The second-level label 'mbuul' is 5 characters long with 2 vowels and three consonants. It segments into two words: mb, uul. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://k09.mbuul.org

Page Load Overview

54.77s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property75% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
75%
cryptocurrency blockchain
61%
news media journalism
57%
adult content
54%
healthcare medical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.199.146United States
AS13335CLOUDFLARENET
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A11401492F18340F186CA5139E13F123A40C34B82CF4618B2DED693CBE7467EAAB38C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnM9iuXI9P5IkwLFagHGjdB7gLqpdL3ijVUEsfJD3f2vf4xIYkHFQ7PwSSyaZoME:hM0mIJ55wBTYzgGDLE4j2nBIISSYME

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:923:AAACAEAAAAQAAAAAAoAAAAAAAIAAAAAAAFAAAAAQAAAAAAEAgAAAAACAACCAAAAAAgAAAAAAAgAABACAAAAIAAAAAAAAAQIA

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2d8664

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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