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Security Scan Report: devices.iot.helen.fi

Redirected to: https://devices.iot.helen.fi/authentication/login

Submitted: Mar 31, 2026, 3:52:11 PMCompleted: Mar 31, 2026, 3:53:31 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 13 domains to perform 249 HTTP transactions. The main domain is devices.iot.helen.fi and was registered NaN years ago.

Submitted URL: https://devices.iot.helen.fi

Effective URL: https://devices.iot.helen.fi/authentication/loginRedirected

AI Security Verdict

Moderate Risk

Confidence: 78%

6
Risk Score

Login page forwards credentials to Microsoft; no malicious indicators, but cross‑origin credential submission is suspicious.

Risk Factors
Cross‑origin credential form sending email and password to an external domain (login.microsoftonline.com)
Safety Factors
Domain is over 22 years old (well‑established)
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts detected
Uses legitimate Microsoft authentication endpoint
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'devices.iot.helen.fi' on the Finnish country-code top-level domain (.fi), featuring subdomain 'devices.iot'. The core label 'helen' covers 5 characters split between two vowels and three consonants. Splitting it apart reveals one word: helen. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://devices.iot.helen.fi

Page Load Overview

1.52s
Total Load Time
192
HTTP Requests
6
Domains
8.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2440.126.32.133Netherlands
AS8075
1420.190.159.73Ireland
AS13335
1440.126.32.136United StatesUnknown
14104.21.34.186UnknownUnknown
1420.105.216.23Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
14172.67.71.159UnknownUnknown
1420.50.88.232UnknownUnknown
14150.171.109.193UnknownUnknown
14104.21.36.46UnknownUnknown
1413.107.246.44UnknownUnknown
19213--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D735CEA7EA61D36864652B5E4B57E06AB3A2D03984CCC64F08CCC842FF774D9273653

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jw8GLG2dvgUwooIyEk77gx2xpTvPoMmCBQEJVevC:08OFwoJ32RA7C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77543:TCQ9komnAB4BaLAwkEQSKT+AoNIUQiImKgAsAQMAZ4JCkBKUJhUBXiE4mPKQKJQPhRgmgk4NgRHAGEIzTQE0IuBgASCJJtB/

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:e0e07878783d3d7d
Perceptual Hash:c86d2636d99999cc
Difference Hash:4085b3b3b1f1f9f1
Wavelet Hash:e0607878783c3d7d
Color Hash:#8853ac

Other Hashes

Crop Resistant:e0e0fabab283d2b2,4085b3b3b1f1f9f1

Scan History

Scan history not available

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