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Security Scan Report: diningservices.wustl.edu

Redirected to: https://washudining.sodexomyway.com/en-us/about/meet-our-team

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Submitted: Oct 16, 2025, 1:55:13 PMCompleted: Oct 16, 2025, 1:58:52 PMpubliccompleted
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Summary

This website contacted 88 IPs in 3 countries across 24 domains to perform 99 HTTP transactions. The main domain is washudining.sodexomyway.com and was registered NaN years ago.

Submitted URL: https://diningservices.wustl.edu/people/rebecca-miller-2/

Effective URL: https://washudining.sodexomyway.com/en-us/about/meet-our-teamRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Official Washington University subdomain
Clear navigation with no data‑collection forms
Domain age information unavailable

Details

Page Title

Meet our Team | Washington University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(81%)

Domain Information

The domain 'diningservices.wustl.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'diningservices'. Its registrable label 'wustl' stretches across 5 characters holding 1 vowel versus 4 consonants. Tokenizing the label suggests 3 words: wu, st, l. The median word length lands at two characters. 'wu' most often appears in Chinese (Zhuyin). You may catch it in Catalan and Chinese (Simplified) as well. Taken together, it feels Chinese (Zhuyin).

Screenshot

Security scan screenshot of https://diningservices.wustl.edu/people/rebecca-miller-2/

Page Load Overview

10.36s
Total Load Time
99
HTTP Requests
24
Domains
11.4 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:7,410 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical81% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
81%
education learning
77%
government public service
62%
adult content
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3052.0.207.59Ashburn, Virginia, United States
AS14618AMAZON-AES
2499.84.152.29United States
AS16509AMAZON-02
12104.17.175.201United States
AS13335CLOUDFLARENET
10104.18.86.42United States
AS13335CLOUDFLARENET
5142.250.186.99United States
AS15169GOOGLE
4172.67.142.245United States
AS13335CLOUDFLARENET
3146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3142.250.186.106United States
AS15169GOOGLE
3104.17.92.187United States
AS13335CLOUDFLARENET
2104.17.25.14United States
AS13335CLOUDFLARENET
9988--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12054C3AB3940631AF6D78718B6A27E48B218945FFE334DECF19D46780BCA3D15D11A0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:lrV43ifKCjf+nt9N9Dfsm/Nj1uDCn4gpiob:lrV43ifdfK9rsm/Nj1uDCn4gpiG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:289655:YJIEHKgEigxGSgGlbBAtkQEkBShCOONshIiEEEIDtUoA0DgAnQIAYCDAJIGdRiAiGAPjbYIEFMA0BTjYAZARHKiPU5k6CCoD

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:819999b9b9c38181
Perceptual Hash:8a4b3135656f3237
Difference Hash:33333333739f3337
Wavelet Hash:819999b999c3cf83
Color Hash:#1f2d93

Other Hashes

Crop Resistant:2d2d2e2e2e2e2e2e,82a0b282a6aee1e1,3b313931739e3b36

Scan History

Scan history not available

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