Security Scan Report: impianti.ffs.ch

Redirected to:
https://login.microsoftonline.com/2cda5d11-f0ac-46b3-967d-af1b2e1bd01a...
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Submitted: May 14, 2026, 2:57:09 AMCompleted: May 14, 2026, 2:59:55 AMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 domains to perform 27 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://impianti.ffs.ch

Effective URL: https://login.microsoftonline.com/2cda5d11-f0ac-46b3-967d-af1b2e1bd01a/oauth2/v2.0/authorize?client_id=4ea5de51-b366-42a9-8a14-fe3f42a60220&redirect_uri=https%3A%2F%2Fdms.sbb.ch%2Foauth2%2Fidpresponse&response_type=code&scope=openid&state=yvJZRJTKUTWNhUhmq7K6LWxdsLzrazWnvtQBht6kbiI2y2V6dFYtuNLcvfRhMUKTvzsgTg%2BeMfKGOGiDgFKeK62FeOHsyIWXnCTlt0%2BgoI%2BX0S9%2FKLmOvn2A8CjkFwcykm6%2BA%2F8Q405TV%2FK71u7KowmGuKFrQwUAT9xrFKm%2Fh8IpucvljHNRuO%2BNPJVWyl6ElP%2Bt7HWXrP0zfKuMlC5zhnC0NetHNTa%2FtO5J984GTTXwZ3zseGzRkKm8plZS6wNJqHd7cmuw59XTsbhl9bKRdeUxuFMNpEpPWg%3D%3D&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

The site impersonates the SBB brand, hosts a login form, and triggers critical malware/C2 alerts – avoid and report.

Risk Factors
Brand impersonation on unranked domain
Credential login form with redirect
Critical IDS alerts (malware, C2 beacon)
High JavaScript obfuscation and suspicious function() usage
Multiple redirects (2) to external Microsoft login
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'impianti.ffs.ch' uses the Swiss country-code top-level domain (.ch) with subdomain 'impianti'. The registrable portion 'ffs' spans 3 characters with 0 vowels and 3 consonants. Segmentation suggests one word: ffs. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://impianti.ffs.ch

Page Load Overview

1.01s
Total Load Time
31
HTTP Requests
8
Domains
817 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:151 chars
Detector Agreement:67%

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
1023.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.66Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
313.107.246.44United States
AS8075Microsoft Corporation
313.69.116.107Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
335.156.248.18Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
320.190.159.68Dublin, Leinster, Ireland
AS8075Microsoft Corporation
340.126.31.0Dublin, Leinster, Ireland
AS8075Microsoft Corporation
352.174.193.210Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
318--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC836D997EA71933838645B5B5B92E06AE3B5903C84CDDB0F15CC9C82FFA74C4227A17

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lhU8GLG2Ur50SoIZ9Tjuokmap5vPoMLufFGEWpBidC:g8nKS9a/ADC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84565:ngYwbBsgGjSAiSIBDBEhqKEwhpoDgBHA2SBQiADqgoApQQZSUiQCQA1XBpZJbLgUELlhhCJIMVyBYOgywK58ADdFCplgQFUC

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:161f1f1f1a180000
Perceptual Hash:9cbc7264cc23cd59
Difference Hash:ac343232b2b2c930
Wavelet Hash:dfdfbf9f1a180000
Color Hash:#c59487

Scan History

Scan history not available

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