Security Scan Report: yodel.ivalua.app

Redirected to:
https://login.microsoftonline.com/43de160c-6e69-45b2-a9cd-7e215970887d...
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Submitted: Jan 29, 2026, 4:53:57 AMCompleted: Jan 29, 2026, 4:55:18 AMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 7 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://yodel.ivalua.app

Effective URL: https://login.microsoftonline.com/43de160c-6e69-45b2-a9cd-7e215970887d/saml2?sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #245,373 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate SSO portal that redirects to Microsoft login; no immediate threats detected.

Safety Factors
Established domain age reduces phishing likelihood
Final destination is a legitimate Microsoft authentication service
No malicious Indicators of Compromise detected
HTTPS connection (implied by Microsoft login URL)
No hidden or disguised password fields
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'yodel.ivalua.app' is registered with subdomain 'yodel'. The second-level label 'ivalua' is 6 characters long containing 4 vowels alongside 2 consonants. It segments into three words: iv, alu, a. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yodel.ivalua.app

Page Load Overview

1.67s
Total Load Time
46
HTTP Requests
6
Domains
844 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:109 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
1023.207.210.132Germany
65.252.146.3France
AS61221IVALUA SAS
620.190.160.67United States
640.126.32.133IrelandUnknown
652.178.17.232FranceUnknown
613.107.246.44UnknownUnknown
620.190.159.0UnknownUnknown
467--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170734AD97FB21937868641B9B5B56E02AA365903884CCDA0F14CCD802FFBB4D913BA57

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lgS68GLGGjlTTyc4D5zTEyqU6MVnvnaloMPb3EVpviZC:uS68elTEDkyS2iC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74547:D56AjNSAhAqwhIEJaAEQhA0/LpFQVJIvGihIYIOAkIsMgBiD4IEJShGTMrqABcAAUIjDqCQwFh65QxchAREYLCECM4gCIChh

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:1f00181818180000
Perceptual Hash:c8892366dcd9d9cc
Difference Hash:f8ccb2b2b2320e45
Wavelet Hash:ff23fffbd8180000
Color Hash:#c587ae

Scan History

Scan history not available

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