Security Scan Report: apac03.azure-devices.net

Submitted: Jan 4, 2026, 2:44:34 AMCompleted: Jan 4, 2026, 2:46:08 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 apac03.azure-devices.net.

Submitted URL: https://apac03.azure-devices.net

The Cisco Umbrella rank of the primary domain is #1,066 of the top 1 million websitesTop 10K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

technology software

(51%)

Domain Information

You're looking at domain 'apac03.azure-devices.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'apac03'. Count 13 characters in 'azure-devices' split between 6 vowels and six consonants; bonus characters include one hyphen. Segmentation suggests 2 words: azure, devices. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apac03.azure-devices.net

Page Load Overview

2.40s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:178 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
documentation technical
40%
news media journalism
32%
healthcare medical
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.98.86.4Singapore, Singapore
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B6E026768520581B77B716CCD9A2B50E4FC8B34AE4624886B19459A88BC6D47CD03284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zPXgFCBOEAAxXLZk3/kTEIIVXNdxELa:kxV7Hf7QsBVAud6/aE1VX7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:65d5cfff960b47bf07a0c4cfde80d5c0

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:a527272727272727
Difference Hash:ce00000000000000
Wavelet Hash:00ffcccc0f0f0f0f
Color Hash:#bf6a40

Other Hashes

Crop Resistant:ce00000000000000

Scan History

Scan history not available

Unable to load historical scan data