Security Scan Report: rabbitmq.forms.dev.iris-4.com

Redirected to: https://login.microsoftonline.com/0dd66dd6-0730-47ae-b2f3-ba1f625c6192/oauth2/v2.0/authorize?approval_prompt=force&client_id=1597ad28-96b6-4b81-a7d6-2cd7bfd79368&redirect_uri=https%3A%2F%2Frabbitmq.forms.dev.iris-4.com%2Foauth2%2Fcallback&response_type=code&scope=openid+https%3A%2F%2Fgraph.microsoft.com%2F.default&state=MASbODPGSCmVvCwsA9D-KVtLHZ72oJH_HnDlVyBa07w%3A%2F&sso_reload=true

Submitted: Mar 29, 2026, 12:29:07 PMCompleted: Mar 29, 2026, 12:30:17 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 6 domains to perform 29 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://rabbitmq.forms.dev.iris-4.com/oauth2/start?rd=%2F

Effective URL: https://login.microsoftonline.com/0dd66dd6-0730-47ae-b2f3-ba1f625c6192/oauth2/v2.0/authorize?approval_prompt=force&client_id=1597ad28-96b6-4b81-a7d6-2cd7bfd79368&redirect_uri=https%3A%2F%2Frabbitmq.forms.dev.iris-4.com%2Foauth2%2Fcallback&response_type=code&scope=openid+https%3A%2F%2Fgraph.microsoft.com%2F.default&state=MASbODPGSCmVvCwsA9D-KVtLHZ72oJH_HnDlVyBa07w%3A%2F&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #950,394 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing page impersonating Strabag to harvest Microsoft credentials.

Risk Factors
Brand impersonation (Strabag) on an unrelated domain
Credential harvesting form (email + password)
Cross‑origin credential submission to Microsoft login endpoint
Low Cisco Umbrella ranking for a brand‑impersonating site
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(48%)

Domain Information

Within the commercial generic top-level domain (.com), 'rabbitmq.forms.dev.iris-4.com' is registered and includes subdomain 'rabbitmq.forms.dev'. Its registrable label 'iris-4' stretches across 6 characters split between two vowels and two consonants; it also includes 1 digit and 1 hyphen. Word splitting yields two words: iris, 4. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rabbitmq.forms.dev.iris-4.com/oauth2/start?rd=%2F

Page Load Overview

0.90s
Total Load Time
29
HTTP Requests
6
Domains
479 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:122 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate business48% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
48%
finance banking
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
520.190.160.131Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
313.107.246.44United States
AS8075Microsoft Corporation
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.3Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
335.205.22.216Brussels, Brussels Capital, Belgium
AS396982Google LLC
320.190.160.14Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
340.126.32.74Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
340.126.32.72Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
323.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
299--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F835BE67EA72937838641B5B4752D03AE7B99038C0CCDA0F19C8D982FFA60D8167657

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D08GLG2CM79Ez7czLNPobIyEk77gx2xpTvPoMmCf6EyhfUiCiXC:Y8CvVPr32RAHC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82154:BeYYtyDDdGCEssYEar7QMCAH4YNUAVJIRw8oRWAsALjEiIQEjgrIawFMAAgFCQJNqEhVUAACnE9QMUQDBOnECCWFAdScoCEA

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:0303030303030303
Perceptual Hash:a53ec8cbc3c83c35
Difference Hash:d73736165626d616
Wavelet Hash:0f0703070307f7f7
Color Hash:#2da9d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data