Security Scan Report: mywcwellness.com

Redirected to: https://mywcwellness.com/wp-content/uploads/2026/disney-reopen/load.php

Submitted: Oct 24, 2025, 6:05:20 PMCompleted: Oct 24, 2025, 6:07:07 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is mywcwellness.com and was registered NaN years ago.

Submitted URL: https://mywcwellness.com/wp-content/uploads/2026/disney-reopen/login.php

Effective URL: https://mywcwellness.com/wp-content/uploads/2026/disney-reopen/load.phpRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Disney+ | Loading

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'mywcwellness.com' uses the commercial generic top-level domain (.com). The second-level label 'mywcwellness' is 12 characters long holding two vowels versus ten consonants. Splitting it apart reveals three words: my, wc, wellness. The median word length lands at two characters. 'my' most often appears in English. Secondary signals appear in Afrikaans and Dutch. Overall, 'mywcwellness.com' reads as English.

Screenshot

Security scan screenshot of https://mywcwellness.com/wp-content/uploads/2026/disney-reopen/login.php

Page Load Overview

36.52s
Total Load Time
4
HTTP Requests
2
Domains
1 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:28 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2162.241.218.238Phoenix, Arizona, United States
AS46606UNIFIEDLAYER-AS-1
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C251521EAA40800F9433A2744BA2E508FED269135342C16A7BEC6507DFB978CCD93FE0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:te9DWQZ9lZggurK7JV2wXnOD27NNYDRPMUsMExn1mUfQMQK:o9DN7ZmQsst/f7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2645:AQAABgAAIIBAEAYBQQACAQAUAAEIAhAEwQwAAAAACAECAIAAAAiCAAiAAAAIgBDDAgAAiCCAAAAIBAwCAEAAgSQMAIIAAAIA

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:0fdfffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:f020000000000000
Wavelet Hash:00f0c0c000000000
Color Hash:#40bfbd

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data