Security Scan Report: mcdcampus.sabacloud.com

Redirected to:
https://gas.mcd.com/adfs/ls/?SAMLRequest=fZHBboJAEIbvfQqyd1hAtGYjGFtja...
Submitted: Apr 15, 2026, 1:18:46 AMCompleted: Apr 15, 2026, 1:19:56 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 26 HTTP transactions. The main domain is gas.mcd.com and was registered NaN years ago.

Submitted URL: https://mcdcampus.sabacloud.com

Effective URL: https://gas.mcd.com/adfs/ls/?SAMLRequest=fZHBboJAEIbvfQqyd1hAtGYjGFtjamIrEeyhl2ZcFlwDu5RZTB%2B%2FKJrqxeMkM9%2F8%2Bf7J9LcqraNoUGoVEs9xiSUU15lURUi26cIek2n0NEGoSr9ms9bs1Ub8tAKNNUMUjenuXrXCthJNIpqj5GK7WYVkb0yNjNKKZxyqukUHYQe81G3mcF3RpJvoiUqTZE2hlIA03qzn6Ufq%2BeNvrIk1755IBeac7MorAJ2OeWZAliMtkRJroRsuzuFCkkOJgljLeUig8PaHPON%2B4QbSE4PCBxgFbnAQgcgP3Q7GgCiP4v8KsRVLhQaUCYnv%2BiPbDWxvmLoe88ZsGDjPweCLWHGjjea6fJGqV9U2imlAiUxBJZAZzpLZ%2B4r5jst2%2FRKytzSN7XidpMT6vCr3T8q7EhSyXvJjVn15TKK%2BE3ZO3NwSHgPg2hqJ7nxP6C0vuoz3lUd%2F&RelayState=87cc8742-efa1-42d2-8902-2da6ccc31bf1Redirected

The Cisco Umbrella rank of the primary domain is #28,338 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

The site pretends to be a McDonald’s login, harvests credentials, and triggers critical IDS alerts – confirmed scam.

Risk Factors
Brand impersonation on unrelated domain
Credential‑harvesting forms
Multiple redirects
Critical IDS malware alerts
Domain not matching the brand (sabacloud.com vs mcd.com)
Domain age information unavailable

Details

Page Title

MCD login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(31%)

Domain Information

The domain 'mcdcampus.sabacloud.com' uses the commercial generic top-level domain (.com) with subdomain 'mcdcampus'. The registrable portion 'sabacloud' spans 9 characters with 4 vowels and 5 consonants. Word splitting yields two words: saba, cloud. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mcdcampus.sabacloud.com

Page Load Overview

8.00s
Total Load Time
43
HTTP Requests
4
Domains
1.2 MB
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-US
Text Length:3,393 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning31% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
31%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.52.180.163Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1023.36.162.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10104.193.136.210United States
AS53930Saba Software Inc.
1052.25.146.138Boardman, Oregon, United States
AS16509Amazon.com, Inc.
434--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDB3E90164E14877049F24EA27BF691B69F98203C34CD504B9AD8BE41FA1D9AC677BCF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aZ6HIPxxcmg9Tv6c+AgKeWkXKr4PqRtqI0bOs/POQE2Y0jBUXNzrF4OkFYjzt8sU:aZ6HIPxxcmCv6c+/WzryRPMsUuF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117481:KhoFAkRbAMgGUHNrkKWATUTwGVDKRrAkwnIbCjQACIANgISJEMAieMoEmRANFwASAAGgTImUo/awSA0IthOQDyjm02RqAuOY

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:0f0f0f1f1f0f0f4f
Perceptual Hash:990f331e98f23378
Difference Hash:59dbdbf3337bbb99
Wavelet Hash:0f0f0f1f190f0f0f
Color Hash:#3e1f93

Scan History

Scan history not available

Unable to load historical scan data