Security Scan Report: api.mozzaik365.net

Submitted: Mar 16, 2026, 4:17:17 AMCompleted: Mar 16, 2026, 4:19:06 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 api.mozzaik365.net and was registered NaN years ago.

Submitted URL: https://api.mozzaik365.net

The Cisco Umbrella rank of the primary domain is #180,294 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(93% confidence)

Category

news media journalism

(45%)

Domain Information

You're looking at domain 'api.mozzaik365.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'api'. The second-level label 'mozzaik365' is 10 characters long containing 3 vowels alongside 4 consonants; bonus characters include three digits. Word splitting yields four words: m, ozz, aik, 365. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.mozzaik365.net

Page Load Overview

0.29s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:93%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:93%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism45% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
45%
healthcare medical
34%
documentation technical
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.189.169.32Paris, Île-de-France, France
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2D023B6C421051A523355DCDE81B5184EC5B21994324D0DB5D4D4688ED7D59C403784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iJ2ERh2hFIVzKC9ex6KijS8K4FLfRRyIdn:qzxV/5VHHQYk/B96zDAtex6KijNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0663e935ccb6b60fef4ab44664132c56

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:00ffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#1f931f

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data