Security Scan Report: insights-test.independer.nl

Redirected to:
https://login.microsoftonline.com/11e8e93b-01a3-4cbe-bd0c-4f776e44b263...
Submitted: Apr 6, 2026, 1:28:54 AMCompleted: Apr 6, 2026, 1:30:04 AMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://insights-test.independer.nl

Effective URL: https://login.microsoftonline.com/11e8e93b-01a3-4cbe-bd0c-4f776e44b263/oauth2/authorize?response_type=code&client_id=4767e724-f17a-43e3-92d9-c0368bbfd2a4&scope=openid&nonce=b7d75218-b237-4e92-b4e1-2db26cc9e52a&redirect_uri=https%3a%2f%2finsights-test.independer.nl%2f&state=AppProxyState%3a%7b%22InvalidTokenRetry%22%3anull%2c%22IsMsofba%22%3afalse%2c%22OriginalRawUrl%22%3a%22https%3a%5c%2f%5c%2finsights-test.independer.nl%5c%2f%22%2c%22RequestProfileId%22%3anull%2c%22SessionId%22%3a%22cf4ebf39-69e5-42c4-aaba-2637e8e3121d%22%7d%23EndOfStateParam%23&client-request-id=cf4ebf39-69e5-42c4-aaba-2637e8e3121d&claims=%7b%22id_token%22%3a%7b%22xms_cc%22%3a%7b%22values%22%3a%5b%22CP1%22%5d%7d%7d%7d&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #211,639 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate low‑risk login page for Independer using Microsoft authentication.

Risk Factors
Cross‑origin credential form submits to login.microsoftonline.com
Safety Factors
Long‑standing domain registration
Use of official Microsoft authentication service
Absence of malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(34%)

Domain Information

You're looking at domain 'insights-test.independer.nl' on the Dutch country-code top-level domain (.nl) and includes subdomain 'insights-test'. Count 10 characters in 'independer' with 4 vowels and six consonants. Breaking it apart gives three words: in, depend, er. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://insights-test.independer.nl

Page Load Overview

0.51s
Total Load Time
30
HTTP Requests
6
Domains
556 KB
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

social media network34% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
34%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
920.190.160.66United States
340.126.32.134Netherlands
313.107.213.44United States
AS8075Microsoft Corporation
398.67.183.227Frankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
313.107.246.44United States
AS8075Microsoft Corporation
340.79.141.154UnknownUnknown
323.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
340.126.31.130Dublin, Leinster, Ireland
AS8075Microsoft Corporation
308--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158835CEA7EA61C37838A41B4F4BA2E029E765903D94CC990F19CCD883FEB35D4167647

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jk8GLG2Cbg33CJThoIyEk77gx2xpTvPoMmCwDEgkvi4C:o8dbg3yNhJ32RA+C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85327:kRqAVAAHc0IwWyjyCEUxFAUK0IAsJAMpygwAQEmOAX4FkEwibzgATNunCGFZ4gGAwYEGGghY0DclACzAz2YAACRRbBSCgygS

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:8cd93366cc9999cc
Difference Hash:200cb2b2b2b24831
Wavelet Hash:00001c1c18183c09
Color Hash:#4440bf

Scan History

Scan history not available

Unable to load historical scan data