Security Scan Report: serftube.se

Redirected to:
https://login.microsoftonline.com/30a55b29-34dc-45bc-8f38-cda7527b3043...
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Submitted: Sep 27, 2026, 1:20:13 AMCompleted: Sep 27, 2026, 1:20:52 AMpubliccompleted

This website contacted 19 IPs in 5 countries across 9 domains to perform 23 HTTP transactions. The main domain is login.microsoftonline.com and was registered 10 years ago.

Submitted URL: https://serftube.se

Effective URL:

https://login.microsoftonline.com/30a55b29-34dc-45bc-8f38-cda7527b3043...
Redirected

AI Security Verdict

Safe Website

Confidence: 72%

1
Risk Score

Capture ends on the genuine Microsoft sign-in (login.microsoftonline.com) for a SharePoint tenant via a standard OAuth SSO flow. No impersonation, credential exfiltration, or threat-intel hits. Entry-domain redirect is unexplained but the served page is legitimate.

Safety Factors (4)
Served content is Microsoft's own brand on Microsoft's own registered domain (login.microsoftonline.com) — self-hosted, not impersonation
Password field belongs to the genuine Microsoft credential form on the real Microsoft domain
All external resource domains are Microsoft/AAD CDN hosts (aadcdn.msauth.net, login.live.com, etc.)
No threat-intel, YARA, native-YARA, kit, or IDS matches against the page or its resources
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'serftube.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'serftube' is 8 characters long containing 3 vowels alongside five consonants. Word splitting yields 2 words: serf, tube. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://serftube.se

Page Load Overview

2.40s
Total Load Time
507 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:51 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking63% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
63%
news media journalism
62%
healthcare medical
45%
government public service
41%
cryptocurrency blockchain
36%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
540.126.31.71Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1194.9.94.86Sweden
AS39570Loopia AB
113.107.136.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.190.159.131Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.160.2Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
152.178.17.232Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1194.9.94.85Sweden
AS39570Loopia AB
113.107.138.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
2319--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133A37DD97EA21D37828A54B4F5B57D026E3B69035C8CDDA4F19CC8C82FFBA498523613

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lCvcg8GLG27dVJib+8WrMTIZ9Tjuokmap5vPoMLuJX0fhnihC:8cg8SdVUb+8YM2a/AbC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98617:BAECJANyn1AQEADAAYCGVdOA1QIIGAJMUIBx001IygmKioIFASOk1mAGIjaRIDAExAOg7SgxuEmDBkscBD6JLDCggQUBCS+u

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:0000181818180000
Perceptual Hash:cc993366cc9999cc
Difference Hash:200cb2b2b2b24c30
Wavelet Hash:0c0c1c1c1c1c0c0d
Color Hash:#71ac53

Scan History

Scan history not available

Unable to load historical scan data