Security Scan Report: stortemplet.se

Redirected to:
https://login.microsoftonline.com/2b5236c7-e6a5-4e77-8364-0d3516585d2f...
Site favicon
Submitted: Oct 11, 2026, 11:40:09 AMCompleted: Oct 11, 2026, 11:40:55 AMpubliccompleted

This website contacted 13 IPs in 4 countries across 7 domains to perform 20 HTTP transactions. The main domain is login.microsoftonline.com and was registered 31 years ago.

Submitted URL: https://stortemplet.se

Effective URL:

https://login.microsoftonline.com/2b5236c7-e6a5-4e77-8364-0d3516585d2f...
Redirected

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The redirect ends on Microsoft's real login.microsoftonline.com for a genuine Microsoft 365/SharePoint SSO flow. No impersonation, phishing, or malware signals.

Safety Factors (4)
Page is served on and owned by Microsoft's official login domain (login.microsoftonline.com), so there is no brand impersonation — the page IS the brand
Legitimate cross-domain SSO redirect from the entry site to Microsoft's authentication service
Redirect target is ranked in Cisco Umbrella (Microsoft authentication/CDN hosts)
Standard Microsoft login form structure with CSRF/canary tokens, not a counterfeit kit
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'stortemplet.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'stortemplet' covers 11 characters containing three vowels alongside 8 consonants. Splitting it apart reveals three words: stor, temple, t. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stortemplet.se

Page Load Overview

2.61s
Total Load Time
713 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:228 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking32% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
32%
news media journalism
28%
adult content
26%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
840.126.32.136Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1194.9.94.86Sweden
AS39570Loopia AB
113.107.136.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
120.190.160.22Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
12.16.110.66Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.61Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.50.201.203Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
113.107.138.10Azure · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
120.190.160.66Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.67Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2013--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2A37DEABEA61937C28741B5B1B97E026E7B5D03494CCDA4F18CCC842FFA6494137617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jo8GLG24nNyteMuPCSnVn0zin3WOGtTIZ9Tjuokmap5vPoMLu8v0CuhiKndjC:c83nNceBPCSnVn0zin3zGt2a/ANndjC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101063:QAAIExQiBgikh4mwhxR/BDJiLCyy8UBOIhIEC5JECmgqC8ISTCSQEAYO4EaAERkEkYiCmABB7IvAEDQpRAkACAXXYQ8pfggg

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:c37f7e1818180000
Perceptual Hash:9ce0322bec7a9999
Difference Hash:16b2b2b2b2b2f0f4
Wavelet Hash:c3ffff5a18181818
Color Hash:#782d86

Scan History

Scan history not available

Unable to load historical scan data