Security Scan Report: s3-onenote-15.cdn.office.net

Submitted: Jul 5, 2026, 9:52:58 PMCompleted: Jul 5, 2026, 9:54:29 PMpubliccompleted
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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 s3-onenote-15.cdn.office.net and was registered NaN years ago.

Submitted URL: https://s3-onenote-15.cdn.office.net

The Cisco Umbrella rank of the primary domain is #18 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 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

(55% confidence)

Category

healthcare medical

(61%)

Domain Information

You're looking at domain 's3-onenote-15.cdn.office.net' on the network infrastructure generic top-level domain (.net) with subdomain 's3-onenote-15.cdn'. Count 6 characters in 'office' holding 3 vowels versus 3 consonants. Tokenizing the label suggests one word: office. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s3-onenote-15.cdn.office.net

Page Load Overview

0.31s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:194 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical61% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
61%
government public service
47%
adult content
41%
documentation technical
41%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.201.250.27Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1E0C0B6E01017FD9E3522E49842BD10FB44202CD3216FA5F5A5D094D4889BFB49346C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9Y2fFHDHqXNUGgfspuVKgnqPCWlKRkSLjEqGmuloQp:kxV7HdBW8huXNUGgkptNtlcL7GVlX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:06b6da24dc04d5487de6ef830410c7b5

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:01ffffffffffffff
Perceptual Hash:ad2d2d2d2d2d2d29
Difference Hash:4300000000000000
Wavelet Hash:01fdf0f0f0f0f0f0
Color Hash:#e06cc7

Other Hashes

Crop Resistant:4300000000000000

Scan History

Scan history not available

Unable to load historical scan data