Security Scan Report: us.portal.cloudappsecurity.com

Redirected to:
https://login.microsoftonline.com/common/oauth2/authorize?response_typ...
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Submitted: May 14, 2026, 10:31:25 PMCompleted: May 14, 2026, 10:32:36 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 24 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://us.portal.cloudappsecurity.com

Effective URL: https://login.microsoftonline.com/common/oauth2/authorize?response_type=id_token+code&scope=openid&nonce=573c39a8101c5d56fda83011869330e783791e2adccf3024ba1b50ab5a90d8aa&response_mode=form_post&client_id=05a65629-4c1b-48c1-a78b-804c4abdd4af&redirect_uri=https%3A%2F%2Fportal.cloudappsecurity.com%2Foauth2%2Flogin&state=L3x8fGNvbW1vbnx8fHx8fHVzLnBvcnRhbC5jbG91ZGFwcHNlY3VyaXR5LmNvbXx8fA==&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #31,857 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 84%

7
Risk Score

The site mimics a Microsoft login page, uses obfuscated scripts and triggers critical IDS alerts, indicating a likely credential‑phishing operation.

Risk Factors
Brand impersonation (Microsoft) on unrelated domain
Credential collection form on non‑official domain
Critical network IDS alert
High‑entropy, heavily obfuscated JavaScript
Low domain reputation relative to brand
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 'us.portal.cloudappsecurity.com' uses the commercial generic top-level domain (.com), featuring subdomain 'us.portal'. The second-level label 'cloudappsecurity' is 16 characters long with 6 vowels and 10 consonants. Segmentation suggests three words: cloud, app, security. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://us.portal.cloudappsecurity.com

Page Load Overview

1.50s
Total Load Time
21
HTTP Requests
5
Domains
488 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
513.107.228.28United States
AS8075Microsoft Corporation
440.126.32.140Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
413.107.246.45United States
AS8075Microsoft Corporation
413.69.239.77Dublin, Leinster, Ireland
AS8075Microsoft Corporation
420.190.159.128Dublin, Leinster, Ireland
AS8075Microsoft Corporation
215--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4834ADA3FA32937878A11B6B5B66D026A3A5D438D4CDC70F18C88882FFB74D8127517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lQ8GLG24NlNoIyEk77gx2xpTvPoMLuf6UEfIi70C:2837NJ32RAU0C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83116:CJiQNqKGhAApTOADAp2FBMAEJoACDgmBnc2gOIuJVCETXQGWPRNrOlAwkD0gAKIzRBAhjDGghwAyIQVEDZkBQqrABwQSCRkA

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:0010393b373f373f
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5e6e6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#b887c5

Other Hashes

Crop Resistant:88e4d2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data