Security Scan Report: iotcs-hub-us.azure-devices.net

Submitted: Jun 13, 2026, 11:15:16 PMCompleted: Jun 13, 2026, 11:16:47 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 iotcs-hub-us.azure-devices.net and was registered NaN years ago.

Submitted URL: https://iotcs-hub-us.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

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

(72% confidence)

Category

technology software

(54%)

Domain Information

The domain 'iotcs-hub-us.azure-devices.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'iotcs-hub-us'. Count 13 characters in 'azure-devices' split between 6 vowels and 6 consonants; it also includes one hyphen. Word splitting yields two words: azure, devices. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iotcs-hub-us.azure-devices.net

Page Load Overview

1.01s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
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 software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
documentation technical
42%
news media journalism
33%
healthcare medical
30%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.79.156.134Washington, Virginia, United States
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1E020314450555F776116DCF893B6094BC87709A4670C49B145D6E54BC6847C513380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zPXgFCBOEAAxXLZO1yfpymfwwiAMkNdxELa:kxV7Hf7QsBVAudOsfpymYwi87xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:756713ccca9faa195097d5ff532e572a

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:c600000000000000
Wavelet Hash:00fcfcfc00000000
Color Hash:#862d5f

Other Hashes

Crop Resistant:c600000000000000

Scan History

Scan history not available

Unable to load historical scan data