Security Scan Report: lcc-prodsf-lcc01sf-iothub.azure-devices.net

Submitted: May 24, 2026, 8:41:03 AMCompleted: May 24, 2026, 8:42:36 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lcc-prodsf-lcc01sf-iothub.azure-devices.net and was registered NaN years ago.

Submitted URL: https://lcc-prodsf-lcc01sf-iothub.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

(53%)

Domain Information

You're looking at domain 'lcc-prodsf-lcc01sf-iothub.azure-devices.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'lcc-prodsf-lcc01sf-iothub'. The second-level label 'azure-devices' is 13 characters long containing 6 vowels alongside 6 consonants, notching one hyphen. Breaking it apart gives two words: azure, devices. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lcc-prodsf-lcc01sf-iothub.azure-devices.net

Page Load Overview

2.82s
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 software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%
documentation technical
40%
news media journalism
33%
healthcare medical
29%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.71.14.134Washington, 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

T1DEE028768470482B77B123CCD993B5054BC5770664220C41714165F84FC9D47CD03380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zPXgFCBOEAAxXLZoa8jftZkIHCcckNdxELa:kxV7Hf7QsBVAudmjfPBHL7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:14c2cf586a6e7d9feab6c39c64b7e4cb

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:#48d22d

Other Hashes

Crop Resistant:c600000000000000

Scan History

Scan history not available

Unable to load historical scan data