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Security Scan Report: sso-test.scania-dcs.com

Redirected to: https://login.microsoftonline.com/3bc062e4-ac9d-4c17-b4dd-3aad637ff1ac/saml2?SAMLRequest=nVJLbxMxEP4rK9%2B9zyRLrSRVaISIVCBqAgcuaNaeTS35sfV4W%2FrvcTdElAM9cB1%2F88338PL6pzXZIwbS3q1YlZfser0ksGYQmzHeuzt8GJFilmCOxPSwYmNwwgNpEg4skohSHDafbkWdl2IIPnrpDct22xX7MW%2Fn76q6bhV2sp0BXkELLPt2OZg2EpBoxJ2jCC6mUVkveFnzenEsS9HMRdnkZdt8Z9n%2BN%2FV77ZR2p7d1dGcQiY%2FH457vvxyOLNsmJ9pBnE7fxziQKArjT9rlVsvgyffRO6Md5tLboulkuahxxkFeKT6TVcu7mVK8AVCLpu37CmTxEknNsg0RhhfiG%2B9otBgOGB61xK93t39OEXkekwbeo4omzFXzwPEphzyMLodhmMgKdi5ATLGEV8m%2FbRguCtgaTh2HMVnx9pmPEJfFK8JLvZ8Tw26790bL5%2F%2Bp94MPFuK%2F0VVeTROteD9BBVrQZqNUQKKUmDH%2B6SYgRFyxGEZkxfos9O%2Bvt%2F4F&sso_reload=true

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Submitted: Feb 26, 2026, 12:34:58 AMCompleted: Feb 26, 2026, 12:36:11 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://sso-test.scania-dcs.com/saml/login

Effective URL: https://login.microsoftonline.com/3bc062e4-ac9d-4c17-b4dd-3aad637ff1ac/saml2?SAMLRequest=nVJLbxMxEP4rK9%2B9zyRLrSRVaISIVCBqAgcuaNaeTS35sfV4W%2FrvcTdElAM9cB1%2F88338PL6pzXZIwbS3q1YlZfser0ksGYQmzHeuzt8GJFilmCOxPSwYmNwwgNpEg4skohSHDafbkWdl2IIPnrpDct22xX7MW%2Fn76q6bhV2sp0BXkELLPt2OZg2EpBoxJ2jCC6mUVkveFnzenEsS9HMRdnkZdt8Z9n%2BN%2FV77ZR2p7d1dGcQiY%2FH457vvxyOLNsmJ9pBnE7fxziQKArjT9rlVsvgyffRO6Md5tLboulkuahxxkFeKT6TVcu7mVK8AVCLpu37CmTxEknNsg0RhhfiG%2B9otBgOGB61xK93t39OEXkekwbeo4omzFXzwPEphzyMLodhmMgKdi5ATLGEV8m%2FbRguCtgaTh2HMVnx9pmPEJfFK8JLvZ8Tw26790bL5%2F%2Bp94MPFuK%2F0VVeTROteD9BBVrQZqNUQKKUmDH%2B6SYgRFyxGEZkxfos9O%2Bvt%2F4F&sso_reload=trueRedirected

AI Security Verdict

Moderate Risk

Confidence: 85%

6
Risk Score

Phishing page impersonating Scania SSO to harvest user credentials.

Risk Factors
Cross‑origin credential form (email + password) to external domain
Brand impersonation of Scania on an unranked domain
Highly obfuscated JavaScript code
Typographical errors and garbled UI text indicating social engineering
Safety Factors
Site served over HTTPS
No malicious Indicators of Compromise matches found
No JavaScript YARA malware patterns detected
No network IDS alerts detected
Domain age is > 20 years (well‑established)
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 'sso-test.scania-dcs.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'sso-test'. The core label 'scania-dcs' covers 10 characters with 3 vowels and 6 consonants; bonus characters include one hyphen. Word splitting yields three words: scania, dc, s. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sso-test.scania-dcs.com/saml/login

Page Load Overview

2.75s
Total Load Time
17
HTTP Requests
6
Domains
445 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:194 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
513.107.246.44United States
AS8075Microsoft Corporation
3172.217.20.147United States
AS8075
340.126.32.134Germany
AS20940
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.4UnknownUnknown
175--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8734BE97FA3193A828A54B9B57A7E026E3B5903884CDC60F15CCC842FFA74D8137557

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lQ8GLGGV7e4ULSsoIyEk77gx2xpTvPoMBAlbErvRiUC:+8ee4xsJ32RA6C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77389:o22gQcwNBSx8UAAGcgG0aWQAhF5KGECRGpnhHICSZI4FTQI4pKsosYAgQPhBECFDFCiOjYQUAGbLTIaaGxgaOKAQFOIHaNJo

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:00103878d8180000
Perceptual Hash:d88d277bc80399d9
Difference Hash:54b4f0b0b03068a9
Wavelet Hash:08f0fc7cfcf83818
Color Hash:#ac5381

Other Hashes

Crop Resistant:5a5862b893828e8a,bc80c032327280a4,54b4f0b0b03068a9

Scan History

Scan history not available

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