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Security Scan Report: uwaterloo.ca

Submitted: Oct 14, 2025, 1:45:55 AMCompleted: Oct 14, 2025, 1:49:01 AMpubliccompleted
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Summary

This website contacted 113 IPs in 7 countries across 32 domains to perform 109 HTTP transactions. The main domain is uwaterloo.ca and was registered NaN years ago.

Submitted URL: https://uwaterloo.ca/arts/contacts/amy-brown

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university contact page with no security concerns.

Safety Factors
Established academic institution with long registration history
Public contact information (email and phone) for a university staff member
Standard contact page without suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Amy Brown | Arts | University of Waterloo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(39%)

Domain Information

Domain 'uwaterloo.ca' uses the Canadian country-code top-level domain (.ca) while skipping any subdomain. The second-level label 'uwaterloo' is 9 characters long containing five vowels alongside 4 consonants. Breaking it apart gives 2 words: u, waterloo. Median word length is 4.5 characters. The linguistic tilt is Bosnian for 'u'. Usage also turns up in Croatian and Serbian contexts. Net impression: Bosnian phrase.

Screenshot

Security scan screenshot of https://uwaterloo.ca/arts/contacts/amy-brown

Page Load Overview

1.29s
Total Load Time
109
HTTP Requests
32
Domains
1.7 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:3,898 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning39% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
39%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
109151.101.129.229San Francisco, California, United States
AS54113FASTLY
23151.101.130.132San Francisco, California, United States
AS54113FASTLY
10216.239.34.36United States
AS15169GOOGLE
9142.250.186.40United States
AS15169GOOGLE
7157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
53.219.126.143Ashburn, Virginia, United States
AS14618AMAZON-AES
395.100.248.45Berlin, State of Berlin, Germany
AS20940Akamai International B.V.
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3108.174.10.20United States
AS14413LINKEDIN
109113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4C3F88025E17076826342F1EBB66B7AFDD1E007F0494C50B2DD12A89FDAF925F9722D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OkGsm3cQWem9NdXIQqadQY5wj0z0ND4Nf6YaXbaUYH:ZTeUd4QqadQY5wj0P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:128545:xSC6j1DYwQAAKWaQj8AHAisigFIVEQciCQEIAYRGAEEAIiSIfQGAdBzBlFIZFxBYhFEYILUILIpBdR8poI8BiFLI5B+jjUR/

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:009f9fffffffff00
Perceptual Hash:be1d6261416f163e
Difference Hash:c53638222a603919
Wavelet Hash:008a9fbfbfbf8100
Color Hash:#2d77d2

Other Hashes

Crop Resistant:363c28222a203919,018595d485048181,5ef030207032125a

Scan History

Scan history not available

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