Security Scan Report: test-approche.alpeshabitat.app

Redirected to:
https://login.microsoftonline.com/common/oauth2/authorize?scope=public...
Submitted: Apr 20, 2026, 12:13:58 AMCompleted: Apr 20, 2026, 12:15:08 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 4 countries across 5 domains to perform 18 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://test-approche.alpeshabitat.app/connect/azure

Effective URL: https://login.microsoftonline.com/common/oauth2/authorize?scope=public_profile%20email&state=6c707080e0ae1b1d7504588294f63792&response_type=code&approval_prompt=auto&redirect_uri=http%3A%2F%2Ftest-approche.alpeshabitat.app%2Fconnect%2Fazure%2Fcheck&client_id=09a6c0b3-122e-4f30-b0e0-5aa88a68134a&sso_reload=trueRedirected

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

Phishing page impersonating Microsoft login on an unranked domain with a critical IDS alert; avoid and report.

Risk Factors
Brand impersonation
Unranked domain
Credential collection on non‑official domain
Critical IDS phishing alert
Suspicious OAuth redirect
Safety Factors
OAuth endpoint (login.microsoftonline.com) is legitimate
Cross‑origin form recognized as standard SSO flow
Domain age is well established (over 20 years)
No malware or malicious JavaScript detected
No payment fields or hidden password fields
Established domain (8685 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'test-approche.alpeshabitat.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'test-approche'. The registrable portion 'alpeshabitat' spans 12 characters containing 5 vowels alongside 7 consonants. It segments into two words: alpes, habitat. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://test-approche.alpeshabitat.app/connect/azure

Page Load Overview

1.63s
Total Load Time
17
HTTP Requests
5
Domains
463 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:133 chars
Detector Agreement:100%

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
5193.17.33.132Switzerland
AS56798HIDORA SA
313.107.246.44United States
AS8075Microsoft Corporation
320.190.160.65Ireland
340.126.31.69SwitzerlandUnknown
320.50.201.205NetherlandsUnknown
175--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160733AD9BEA2193B828A41B5B5797D02AE3B9C07884CD960F15CC9C43FEB74D812B563

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lM8GLG23coboIyEk77gx2xpTvPoMmCfnEfIi7JC:e883bJ32RAFJC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78449:nUTYRHAKBhRQgQEyQEAQAsEhAAIAMRZAglCMIMGjBEwGkR3iCAEgBEo+QmGgcgGNyoFAKgeKpTOJsAPAFE8rpAJhJAKB4CQC

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:0010393b373f373f
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5e6e6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#bf406e

Other Hashes

Crop Resistant:88e4d2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data