Security Scan Report: mcaqd.learningcart.com

Redirected to:
https://mcaqd.learningcart.com/content/Default.aspx
Submitted: May 14, 2026, 9:24:35 AMCompleted: May 14, 2026, 9:26:32 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 57 HTTP transactions. The main domain is mcaqd.learningcart.com and was registered NaN years ago.

Submitted URL: https://mcaqd.learningcart.com

Effective URL: https://mcaqd.learningcart.com/content/Default.aspxRedirected

The Cisco Umbrella rank of the primary domain is #360,209 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site appears legitimate in purpose but exhibits a critical IDS alert and heavily obfuscated JavaScript, suggesting possible malware activity; recommend reporting.

Risk Factors
Critical IDS alert indicating possible malware command‑and‑control
High JavaScript obfuscation and dynamic eval() execution
Low Cisco Umbrella ranking (rank #360,209) for a site claiming a public service
Safety Factors
Domain is long‑standing and well‑established
No password, email, or payment fields in the sole form
Brand name in meta tags matches the domain (self‑branding)
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

HomeMCAQD Dust Training Classes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

The domain 'mcaqd.learningcart.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'mcaqd'. Its registrable label 'learningcart' stretches across 12 characters with 4 vowels and 8 consonants. Breaking it apart gives two words: learning, cart. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mcaqd.learningcart.com

Page Load Overview

4.89s
Total Load Time
56
HTTP Requests
6
Domains
1.6 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:4,728 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
42%
documentation technical
39%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1154.187.1.151Boardman, Oregon, United States
AS16509Amazon.com, Inc.
93.174.46.76United States
AS16509Amazon.com, Inc.
9104.18.10.207United States
AS13335Cloudflare, Inc.
9142.251.127.94United States
AS15169Google LLC
9192.178.170.95United States
AS15169Google LLC
952.25.155.77Boardman, Oregon, United States
AS16509Amazon.com, Inc.
566--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7D24222D7920607823750CDF067F7556581610EA7CA0B95B3BEC3BABFCFAA1351229D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qRst0ek8Lo1SfzQyjHPAsi8l2LJ8fDhelkc+IeHKeZ2ZeMejecezxleeyee+eesg:6yheliIeHKeZ2ZeMejecezxleeyee+eS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28982:hawMkBQQ2QLpLdM6CnDCBU7IAQgZsYqAq4JhgBAQBQQKAQzKAD8ogkHFEQWJBhFgNwUBRCFCIw54mSAgALIF81vqZDTABAhc

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:9f838387c7c7c7df
Perceptual Hash:bc6dcc9a9e9e9030
Difference Hash:22263e2e1c3e2e3c
Wavelet Hash:9f808383c7c7c3c7
Color Hash:#64d22d

Other Hashes

Crop Resistant:22263e2e1c3e2e3c

Scan History

Scan history not available

Unable to load historical scan data