Security Scan Report: phc-iothub-iqan01-prd.azure-devices.net

Submitted: Jun 30, 2026, 9:53:29 AMCompleted: Jun 30, 2026, 9:55:00 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 phc-iothub-iqan01-prd.azure-devices.net and was registered NaN years ago.

Submitted URL: https://phc-iothub-iqan01-prd.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

(52%)

Domain Information

The domain name 'phc-iothub-iqan01-prd.azure-devices.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'phc-iothub-iqan01-prd'. Count 13 characters in 'azure-devices' split between six vowels and six consonants; bonus characters include one hyphen. It segments into 2 words: azure, devices. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://phc-iothub-iqan01-prd.azure-devices.net

Page Load Overview

0.54s
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 software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
42%
news media journalism
34%
healthcare medical
32%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.44.17.106Boydton, 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

T1A3E0C0338420640B1B7156CCD96371090AC5F70AE8230C45B24060A49FCAC47C4432C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zPXgFCBOEAAxXLZ92kxdQwRAnsNdxELa:kxV7Hf7QsBVAud9PLXAs7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:df765fd448dacae3521f60cddb20b66e

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:00ffffff00000000
Color Hash:#ac5372

Other Hashes

Crop Resistant:c600000000000000

Scan History

Scan history not available

Unable to load historical scan data