Security Scan Report: wcrer.be.uw.edu

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Submitted: May 1, 2026, 10:19:26 PMCompleted: May 1, 2026, 10:21:03 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 44 HTTP transactions. The main domain is wcrer.be.uw.edu and was registered NaN years ago.

Submitted URL: https://wcrer.be.uw.edu/housing-market-data-toolkit/

The Cisco Umbrella rank of the primary domain is #67,189 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no malicious indicators; safe for normal browsing.

Safety Factors
Established domain age
High reputation ranking
Absence of malicious IoCs
No credential collection forms
No detected malware or IDS alerts
Domain age information unavailable

Details

Page Title

Housing Market Data – Real Estate Research

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'wcrer.be.uw.edu' is registered; it also runs on subdomain 'wcrer.be'. The core label 'uw' covers 2 characters containing 1 vowel alongside 1 consonant. Splitting it apart reveals one word: uw. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wcrer.be.uw.edu/housing-market-data-toolkit/

Page Load Overview

11.27s
Total Load Time
49
HTTP Requests
8
Domains
1.2 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:3,449 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
real estate property
42%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.13.97United States
AS15169Google LLC
8192.0.78.23San Francisco, California, United States
AS2635Automattic, Inc
866.172.42.50Bronxville, New York, United States
AS4213Krypt Technologies
8142.251.110.94United States
AS15169Google LLC
8142.251.127.95United States
AS15169Google LLC
852.88.51.255Boardman, Oregon, United States
AS16509Amazon.com, Inc.
496--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16613F8E78E6D143F415531CEF43CB659E2AEC032DB009862FBED865856C2EE503A6B0D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1l8mb2+oIIO4eb9KLFfcio6paIFIwb5N7W1FeiFH3SIio4Rih3DD5EfcF7R1xc/v:v8my+Z4eb9KLFfw6paVwbeeJIi5Rih3w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45485:kIAIIA0RgdIAA5TCACSQJAQSeIIiaAN1JzUAAkFoIUgMkSz4xIOF0CQAcKR5ESIyQAoQcAIygiEDEYggZAa0BQYIhUFAIQkB

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:00fdf9fffff9f9ff
Perceptual Hash:eb34646a346a6a37
Difference Hash:8e79393b1b39394b
Wavelet Hash:00b9899d8f8899ff
Color Hash:#53a5ac

Scan History

Scan history not available

Unable to load historical scan data