ScanMalware.com

Security Scan Report: myliaison.com

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Submitted: Oct 9, 2025, 7:27:57 PMCompleted: Oct 9, 2025, 7:29:48 PMpubliccompleted
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Summary

This website contacted 71 IPs in 3 countries across 17 domains to perform 44 HTTP transactions. The main domain is myliaison.com and was registered NaN years ago.

Submitted URL: https://myliaison.com/colleges/walsh-university-oh/

The Cisco Umbrella rank of the primary domain is #99,755 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
High Cisco Umbrella ranking
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

MyLiaison - Walsh University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(39%)

Domain Information

The domain 'myliaison.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'myliaison' stretches across 9 characters split between 4 vowels and five consonants. Breaking it apart gives two words: my, liaison. Average segment length settles at 4.5 characters. The linguistic tilt is Afrikaans for 'my'. You may catch it in English and Chinese (Pinyin) as well. Net impression: Afrikaans phrase.

Screenshot

Security scan screenshot of https://myliaison.com/colleges/walsh-university-oh/

Page Load Overview

49.74s
Total Load Time
44
HTTP Requests
17
Domains
2.5 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
Text Length:25,665 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44104.17.24.14United States
AS13335CLOUDFLARENET
0146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0162.247.243.39United States
AS54113FASTLY
099.84.152.89United States
AS16509AMAZON-02
099.84.152.48United States
AS16509AMAZON-02
0151.101.129.229San Francisco, California, United States
AS54113FASTLY
099.84.152.54United States
AS16509AMAZON-02
0104.17.25.14United States
AS13335CLOUDFLARENET
0172.66.155.116United States
AS13335CLOUDFLARENET
0216.239.34.36United States
AS15169GOOGLE
4471--

Detected Technologies7

jQuery
50%
Zope
50%
TwistedWeb
50%
Python
50%
Daphne
40%
OWL Carousel
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1497407B631002BF7558B87F4F6355B3AA089EABADA17C585F3FC42B21F819D2CC05694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/zwv3vz9kgvrNdD5109kQMjsy4zpoU29AwmTxfDyCv3v3Bm+JsBiiNBm+Js79kP:/zivrNdD51QMjMpP0AwmTxfmYkiiN/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:359780:ZAEIrQSBByCAQPiqicNJmKYQQyBUoIogiiH4CDEQLBUgPAiIMO6eatRRAEKXSiRYREVGwgYgAokiEBoLAgcDCIAyVRsHwxRH

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:818181f9fffffffd
Perceptual Hash:ea6b5895c0c556b5
Difference Hash:23235361890e0619
Wavelet Hash:81000081efffeffc
Color Hash:#78663a

Other Hashes

Crop Resistant:23235361890e0619,999b3232ac367743,4011399dc5c77864,148a5594b2668900

Scan History

Scan history not available

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