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Security Scan Report: app-staging.ruvia.io

Redirected to: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?response_type=code&client_id=e2ac94af-3f11-42be-ac0f-a0309bc7a363&redirect_uri=https%3A%2F%2Fapp-staging.ruvia.io%2Foauth%2Fmicrosoft%2Fcallback&scope=openid+email+profile&state=q64bbUkMM4XgHlRlw8Cf0hFxcgXrLn&nonce=IlThoD8YGaOceMouvlvz&sso_reload=true

Submitted: Mar 30, 2026, 3:39:52 PMCompleted: Mar 30, 2026, 3:41:01 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 29 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://app-staging.ruvia.io/oauth/microsoft?origin=login

Effective URL: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?response_type=code&client_id=e2ac94af-3f11-42be-ac0f-a0309bc7a363&redirect_uri=https%3A%2F%2Fapp-staging.ruvia.io%2Foauth%2Fmicrosoft%2Fcallback&scope=openid+email+profile&state=q64bbUkMM4XgHlRlw8Cf0hFxcgXrLn&nonce=IlThoD8YGaOceMouvlvz&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Microsoft login; collects credentials on an unrelated domain.

Risk Factors
Brand impersonation (Microsoft) on unrelated domain
Cross‑origin credential harvesting form (email + password)
Unranked domain despite high‑profile brand claim
Highly obfuscated JavaScript (possible hidden malicious behavior)
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 'app-staging.ruvia.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'app-staging'. Its registrable label 'ruvia' stretches across 5 characters containing three vowels alongside 2 consonants. Segmentation suggests 2 words: ru, via. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-staging.ruvia.io/oauth/microsoft?origin=login

Page Load Overview

0.99s
Total Load Time
29
HTTP Requests
5
Domains
501 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
520.190.160.65Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
313.107.213.44United States
AS8075Microsoft Corporation
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.67Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
320.190.160.5Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
340.126.32.134Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
323.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.66.0.96United States
AS13335Cloudflare, Inc.
320.190.160.130Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
299--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151835BEA7EA31937838A44B4B6797D02AE3A59038C48CD64F19CCD882FFB74D8127557

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Du8GLG2b3P9G+moFIyEk77gx2xpTvPoMmCBXEfii73PgC:q8I3pmJ32RAL3YC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80960:KlBnoAECUDXCSDJgBAJA4mwiLlmBJgIwVAgCEBJAQCoiAeEoIAQgJgCAIyIwEoRQmhy8hw0gB1QyzkALBIAogdUEwUgEgMzL

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:0010393b373f3737
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5e6e6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#ac9753

Other Hashes

Crop Resistant:88e4d2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data