Security Scan Report: grafana.prod.viatorsystems.com

Redirected to:
https://login.microsoftonline.com/cf3dc8a2-b7cc-4452-848f-cb570a56cfbf...
Site favicon
Submitted: Aug 29, 2026, 6:02:59 PMCompleted: Aug 29, 2026, 6:04:10 PMpubliccompleted

This website contacted 11 IPs in 3 countries across 7 domains to perform 17 HTTP transactions. The main domain is login.microsoftonline.com and was registered 8 years ago.

Submitted URL: https://grafana.prod.viatorsystems.com

Effective URL:

https://login.microsoftonline.com/cf3dc8a2-b7cc-4452-848f-cb570a56cfbf...
Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

This is the site's own sign-in page: the credential form submits to a host the operator controls, so the brand shown is their own rather than an impersonation of someone else.

Risk Factors
Unranked hosting domain
Cross‑origin form submission to Microsoft login endpoint
Safety Factors
Uses official Microsoft login endpoint for authentication
Page served from an identity-provider sign-in endpoint (login.microsoftonline.com); a relying-party brand and login form here are normal SSO, not impersonation — risk clamped from 7 to 2
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'grafana.prod.viatorsystems.com' is registered; it also runs on subdomain 'grafana.prod'. Count 13 characters in 'viatorsystems' holding 4 vowels versus 9 consonants. Tokenizing the label suggests four words: vi, at, or, systems. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grafana.prod.viatorsystems.com

Page Load Overview

2.21s
Total Load Time
696 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:177 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate business42% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
42%
travel tourism
34%
social media network
34%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
754.236.154.48Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
140.126.32.133Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.2Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
12.16.241.201Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
140.126.32.138Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
13.218.2.120Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
120.190.160.20Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
140.126.32.134Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
12.16.241.224Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1711--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112235CEA3F943427CB831875C4AFBB069A3D49574448CCC8F1EEC9885DF9BAA5627107

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lfry8J7QLG2RvUuZOGToSadLVtVdTj8Z9TjuvhCknmaprVvPoMLaZczC76:lW8GLG2RNqJzdTIZ9Tjuokmap5vPoML7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45900:CSgAsAnsgRqWxAlQIthTIKIC8IQAQiESQI4FrGAMDCQDJmBIwACvAJAVW9TY6AwAAKxMi6EJCJJSAOAS2gknBIApsEzwp0gE

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:001f7fffff180000
Perceptual Hash:98cd32e3ac13d999
Difference Hash:dcf0b2b2b2b0e8ac
Wavelet Hash:043f7fffff180000
Color Hash:#ac53a2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data