Security Scan Report: msoid.solrac.fi

Redirected to:
https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_...
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Submitted: Completed: publiccompleted
This website contacted 13 IPs in 4 countries across 7 domains to perform 23 HTTP transactions. The main domain is solrac.fi and was registered 19 years ago.

Submitted URL: https://msoid.solrac.fi

Effective URL:
https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Microsoft sign-in flow reached via redirect; forms post to login.microsoftonline.com with no credential exfiltration, malware, or threat-intel Indicators of Compromise.

Safety Factors (5)
Final destination is the official Microsoft login domain
Form action targets login.microsoftonline.com
No credential exfiltration detected
No threat-intel Indicators of Compromise or hunting rule malware hits
Redirect chain ends at Microsoft's official OAuth authentication flow
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Within the Finnish country-code top-level domain (.fi), 'msoid.solrac.fi' is registered; it also runs on subdomain 'msoid'. The core label 'solrac' covers 6 characters holding two vowels versus four consonants. Word splitting yields two words: sol, rac. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://msoid.solrac.fi

Page Load Overview

0.93s
Total Load Time
496 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:196 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
65%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1140.126.31.71Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
120.190.159.0Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.103.241.46Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
140.126.31.2Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.69.116.110Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.159.129Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.103.244.70Azure · CLOUDBerlin, State of Berlin, Germany
AS8075Microsoft Corporation
120.190.159.68Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
120.190.159.75Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2313--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179A37BEA7EE71A37868644B5B9353E026E361D034C4EDC68F28CC9842FEBB4D8127547

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FcQ0QZQlQa8GLG2nVQlQOq2LRQZ/leCeFafyobIZ9Tjuokmap5vPoMLufO0fiiQa:69GeR88sAYRS/y3a/AKPC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106942:dMANlAIiOSMQlAIUXIgiUSAIxxAEQjaAU5RCOiAAxEFDAbYLIoUiROAAhKQDAQAAVLyFpDLYPWCAGyAGDxNEICBBKPyZBS5U

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:00183933373f3737
Perceptual Hash:8559717666739989
Difference Hash:88f2d2e7e5dae6e6
Wavelet Hash:001839333f3f3737
Color Hash:07000000180

Other Hashes

Crop Resistant:88f2d2e7e5dae6e6

Scan History

Scan history not available

Unable to load historical scan data